Data

Our career map helps you take charge of your professional growth. With 10 growth levels, from L1 to L10, each step features clear milestones to support your development.

Our career map helps you take charge of your professional growth. With 10 growth levels, from L1 to L10, each step features clear milestones to support your development. Open the document as a table ↗

Data & Business Intelligence

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Individual Contributor

IC-1

Data Intern

Experience

No prior professional experience required. Typically a student or recent graduate starting a career in data analysis or business intelligence.

Area of Responsibility

Assists the analytics or BI team with simple tasks under supervision. Gains hands-on experience in collecting, processing, and visualizing data. Learns how data-driven decisions are made in a business environment.

Skills

Basic knowledge of data concepts and analytical thinking
Familiar with simple SQL queries for data extraction
Understands how BI dashboards are used in business settings
Creates basic data visualizations in Excel or BI tools (e.g., Power BI, Tableau)
Assists in preparing recurring reports
Follows data privacy and accuracy standards
Demonstrates curiosity, attention to detail, and eagerness to learn

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IC-2

Junior Data Specialist

Experience

Up to 1 year of experience. May have completed internships or academic projects involving structured data. Begins working independently on routine data tasks under guidance.

Area of Responsibility

Supports data teams by extracting, cleaning, and preparing datasets. Works on recurring reports and assists in building dashboards. Begins to understand how business questions translate into data tasks.

Skills

Writes simple to moderately complex SQL queries (e.g., JOINs, GROUP BY)
Cleans datasets using filters, deduplication, formatting
Understands basics of data types, schemas, and data validation
Assists in building dashboards with predefined logic
Participates in preparing operational and ad-hoc reports
Applies basic logic in Excel, Google Sheets, or BI tools
Understands core data visualization principles (e.g., bar vs. line charts)
Has awareness of data warehousing and data pipelines
Understands importance of data accuracy, privacy, and consistency

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IC-3

Middle I – Data Analyst

Experience

1–2 years of professional experience. Independently handles data analysis tasks, creates visualizations, and supports BI infrastructure. Participates in analytics projects and collaborates with internal stakeholders.

Area of Responsibility

Analyzes business data, builds reports, and supports product or operational teams with decision-making. Works with data marts, prepares and cleans datasets, and delivers insights through dashboards and presentations. Can own small analytical initiatives from scoping to delivery.

Skills

Confident in SQL — writes queries with JOINs, GROUP BY, filtering logic, and basic window functions
Builds and maintains dashboards in Power BI or Tableau based on business needs and access control rules
Uses Excel or Google Sheets for advanced data manipulation and pivot reports, following internal confidentiality standards
Familiar with Python and core data libraries (e.g., pandas, matplotlib) for scripting and exploratory analysis while protecting sensitive data
Accesses and queries data from cloud platforms such as BigQuery, Snowflake, or Redshift in accordance with company data access policies
Collects and merges structured data from various systems and APIs with proper handling of sensitive fields
Cleans and transforms raw data to ensure usability, consistency, and compliance with data classification rules
Applies validation checks and ensures data integrity across sources and systems
Creates intuitive, business-oriented visualizations that follow best practices in data security and privacy (e.g., role-based access)
Communicates analytical findings clearly through structured reports and dashboards, ensuring appropriate audience access and data protection

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IC-4

Middle II – Data Analyst

Experience

2–3 years of experience in data analytics or BI. Independently leads end-to-end analytical tasks, improves reporting processes, and ensures data quality and compliance with internal security standards.

Area of Responsibility

Owns recurring and ad-hoc analytics for key business domains. Builds dashboards and models based on stakeholder needs. Improves data accuracy and supports secure data access and handling. Mentors junior analysts on tools and data best practices.

Skills

Writes advanced SQL queries with CTEs, window functions, and optimization logic
Designs and maintains dashboards with complex filters, drill-downs, and role-based access in BI tools
Uses Excel or Sheets for structured reporting and data modeling
Applies Python (pandas, numpy, seaborn) for automation and deep dives
Works confidently with cloud data warehouses (BigQuery, Snowflake, Redshift) under company access policies
Designs robust data validation workflows and maintains documentation
Ensures proper handling of sensitive and personal data in line with internal security standards
Communicates findings clearly and tailors reports to business, tech, or leadership audiences

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IC-5

Senior I – Data Analyst

Experience

3–5 years of experience in data analytics. Leads complex analytical projects end-to-end. Acts as a trusted partner to business and product teams. Sets standards for data quality, security, and collaboration across analytics workflows.

Area of Responsibility

Drives data initiatives that influence strategic decisions. Translates open-ended business problems into data solutions. Owns analytical models, reporting frameworks, and BI assets. Advises teams on secure data usage, modeling, and stakeholder reporting. Acts as a mentor and reviewer for junior and middle analysts.

Skills

Writes highly optimized SQL queries for production-grade dashboards and analytics
Designs scalable dashboards with clear structure, UX logic, and access management
Uses Python for automation, feature engineering, and reproducible analysis (pandas, numpy, matplotlib/seaborn)
Builds reusable reporting templates and pipelines with data privacy controls
Leads analytical deep dives using structured thinking, hypothesis testing, and stakeholder collaboration
Advises teams on warehouse structure, data contracts, and access control (e.g., BigQuery, Redshift)
Defines and enforces data validation and security standards in analysis workflows
Communicates insights clearly, frames trade-offs, and supports decision-making at team and department levels
Mentors analysts on analytics tools, secure data practices, and stakeholder communication

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IC-6

Senior II – Data Analyst

Experience

5+ years of experience in analytics or BI. Leads cross-functional analytics projects. Shapes the company’s approach to metrics, data governance, and decision-making. Trusted advisor for leadership on data strategy and reporting integrity.

Area of Responsibility

Owns end-to-end analytics for critical business areas. Defines analytical approaches, improves data reliability, and scales dashboards and reports. Aligns stakeholders around metrics and data usage. Ensures compliance with security and privacy standards across all analytics processes.

Skills

Designs scalable SQL logic and data structures aligned with long-term reporting needs
Leads architecture of dashboards and analytical tooling across teams with strict access controls
Uses Python for automation, reusable functions, and advanced analysis (e.g., statistical testing, modeling)
Defines and documents shared metrics, KPIs, and governance standards
Builds and maintains reporting pipelines with built-in validation and data privacy logic
Drives alignment on definitions and metrics across departments (e.g., revenue, retention, performance)
Works with data engineers to improve warehouse usability, security, and compliance
Frames insights for senior leadership, tying recommendations to business impact and risk

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IC-7

Principal Data Analyst

Experience

Recognized expert and strategic thinker. Shapes analytical vision, drives cross-functional alignment, and defines best practices for secure and scalable analytics across the organization.

Area of Responsibility

Leads complex, high-impact analytics initiatives across multiple domains. Owns company-wide metrics frameworks, reporting architecture, and analytical standards. Partners with senior leadership to drive strategic decisions through data. Ensures compliance with data privacy, access control, and internal governance.

Skills

Writes highly performant, reusable SQL queries that power company-wide dashboards and critical data flows
Leads BI architecture and standardization across teams, enforcing role-based access and consistency
Uses Python for full-scale data pipelines, advanced modeling, and automation (pandas, numpy, statsmodels, etc.)
Drives structured data collection across systems and defines governance rules for inputs
Oversees data validation, quality assurance, and lineage tracking across tools and teams
Frames and tests business hypotheses using structured, statistical, and exploratory methods
Builds and evolves advanced visualizations tailored to executive and operational use cases
Oversees centralized reporting workflows and KPI frameworks across business functions
Collaborates with engineers and data stewards to maintain secure, scalable DWH structure
Evangelizes data privacy, classification, and secure handling practices across all analyst roles
Mentors senior and staff analysts; sets direction for knowledge sharing, tooling, and documentation

No items found.

IC-1

Trainee

Experience

Entry-level, little to no prior professional experience in frontend development.

Area of Responsibility

Learning and applying basic frontend concepts, writing simple components under supervision.

Skills

HTML/CSS: Understanding and using basic HTML elements and CSS styles.
JavaScript: Familiarity with basic JavaScript (ES6+) concepts.
Git: Basic version control operations, understanding of repositories.
Soft Skills: Effective communication, openness to feedback, willingness to learn and improve.

IC-2

Junior

Experience

More then 1 year of experience in frontend development.

Area of Responsibility

Developing small features, fixing bugs, and understanding project architecture.

Skills

HTML/CSS: Proficient in semantic HTML and CSS preprocessors (e.g., Sass).
JavaScript: Knowledge of ES6+, basic use of libraries like Vue.js or React.
Version Control: Confident use of Git, contributing to code reviews.
Soft Skills: Basic teamwork and communication, handling constructive criticism.

IC-3

Middle I

Experience

More then 2 years of solid frontend experience.

Area of Responsibility

Developing features independently, improving existing components, participating in code reviews.

Skills

JavaScript & Frameworks: Deep knowledge of ES6+, Vue.js ecosystem, understanding UI component libraries.
Coding Practices: Writing clean and maintainable code, understanding coding patterns and principles.
Infrastructure: Familiarity with build tools (Webpack, Babel) and CI/CD pipelines.
Soft Skills: Working well in a team, basic problem-solving and critical thinking.

IC-4

Middle II

Experience

More then 3 years of experience in frontend, capable of handling complex tasks.

Area of Responsibility

Leading feature implementation, optimizing performance, and mentoring juniors.

Skills

Advanced JavaScript: Mastery of core concepts, meta-frameworks, and server-side rendering (SSR).
Testing: Writing unit tests and understanding end-to-end testing frameworks.
Optimization: Improving load times, optimizing SEO, and handling responsive design challenges.
Soft Skills: Effective collaboration, taking initiative, and providing constructive feedback.

IC-5

Senior I

Experience

More then 4 years of frontend development experience.

Area of Responsibility

Designing and implementing complex systems, contributing to architectural decisions.

Skills

Architecture & Patterns: Understanding design patterns, OOP, and functional programming.
Security: Awareness of common vulnerabilities and how to mitigate them.
Performance Tuning: Deep understanding of browser performance and optimization.
Soft Skills: Strong communication, mentoring, and conflict resolution skills.

IC-6

Senior II

Experience

Recognized as an expert in frontend development.

Area of Responsibility

Driving project quality, ensuring best practices, leading codebase improvements.

Skills

Frontend Mastery: Proficient in multiple frameworks (Vue.js, React, Angular), full understanding of TypeScript.
Code Review & Testing: Leading code reviews, implementing automated testing strategies.
CI/CD & Infrastructure: Advanced setup and maintenance of continuous integration and delivery.
Soft Skills: Strategic thinking, decision-making, and adaptability to change.

IC-7

Principal

Experience

Strategic leader in frontend development.

Area of Responsibility

Shaping the technical direction, mentoring senior engineers, overseeing large projects.

Skills

Strategic Planning: Defining and implementing frontend strategies, architectural design.
Innovation: Proposing innovative solutions, optimizing frameworks and libraries.
Stakeholder Communication: Effectively interacting with product owners and management.
Soft Skills: High-level collaboration, influencing team direction, handling complex challenges.

IC-8

Tech Lead

Experience

Extensive experience in leading frontend projects and teams.

Area of Responsibility

Technical leadership, architecture design, and ensuring project alignment with company goals.

Skills

Technology Leadership: Guiding the team on technical implementations, making strategic tech decisions.
Code Quality: Establishing and maintaining coding standards, enforcing best practices.
CI/CD & DevOps: Expertise in infrastructure, server configuration, and deployment strategies.
Soft Skills: Effective delegation, inspiring and motivating the team, strategic decision-making.

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Individual Contributor

IC-3

Middle I – Product Analyst

Experience

1–2 years of experience in product or marketing analytics. Works independently on well-defined tasks, contributes to discovery discussions, and confidently applies standard tools and methods. Demonstrates responsibility for data accuracy and clear communication.

Area of Responsibility

Supports product and marketing teams with regular reporting and basic experiment analysis. Extracts and visualizes product usage data, assists in evaluating A/B tests, and communicates findings to non-technical stakeholders. Ensures accuracy in dashboards and adheres to internal privacy and security standards.

Skills

Writes SQL queries with joins and aggregations to extract structured product data
Uses Google Analytics / AppMetrica for funnel and retention analysis
Builds dashboards in Tableau, Power BI, or Looker with standard visual elements
Applies basic Python or R for data exploration and test result validation
Interprets results from A/B tests and basic statistical analyses
Communicates clearly with product managers and marketing teams
Understands key product metrics and ensures consistency in reporting
Follows internal data access, compliance, and privacy rules when working with user data

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IC-4

Middle II – Product Analyst

Experience

2–3 years of experience in product or marketing analytics. Independently conducts end-to-end product analysis, evaluates experiments, builds scalable dashboards, and contributes to product strategy through data. Collaborates closely with cross-functional teams and ensures data quality and compliance.

Area of Responsibility

Leads analytical support for product features or funnels. Owns A/B test evaluation and post-launch impact analysis. Improves data collection logic, works with tracking implementation, and ensures accuracy in key product metrics. Promotes secure and consistent use of product data across teams.

Skills

Writes intermediate to advanced SQL queries with CTEs and aggregations for product metrics
Uses Google Analytics, AppMetrica, or similar platforms to analyze funnels and retention
Builds and iterates dashboards with filters and drilldowns in Tableau, Looker, or Power BI
Uses Python or R for test result validation, segmentation, or automation
Designs and interprets A/B tests using statistical best practices
Supports product teams with decision-ready insights, reports, and visualizations
Reviews and improves product tracking implementation (e.g., events, tags)
Ensures product analytics is compliant with internal security and privacy standards

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IC-5

Senior I – Product Analyst

Experience

3–5 years in product or growth analytics. Leads full-cycle product analysis, manages experiments at scale, and partners closely with product managers and marketing leads. Translates product goals into analytical models and insights. Sets standards for tracking, reporting, and data interpretation.

Area of Responsibility

Owns analytics for major product areas or growth loops. Designs tracking strategies and experiments. Interprets complex user behavior and translates findings into product hypotheses. Builds scalable dashboards, guides event design, and ensures analytical consistency and security across teams.

Skills

Complex SQL and reusable reporting logic
Deep segmentation in GA/AppMetrica + BI tooling
Full-featured dashboards with stakeholder-specific views
Python/R for test validation, automation, and modeling
Designs statistically sound A/B tests and monitors validity
Owns and documents KPIs, supports metric consistency
Maintains data security standards and drives scalable analytics practices

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IC-6

Senior II – Product Analyst

Experience

5+ years in product analytics. Drives large-scale analytical projects, leads data strategy for product domains, and helps scale analytical practices across teams.

Area of Responsibility

Owns analytical vision for a product vertical or business domain. Coordinates with data engineers, defines tracking strategy, and ensures consistent and secure product metrics across teams. Advises leadership and manages complex cross-team analyses.

Skills

Leads SQL modeling and metric architecture
Drives product analytics stack improvements (BI, tracking, attribution)
Advanced use of Python/R for behavioral analysis, automation, modeling
Owns KPI frameworks and reporting templates company-wide
Leads experiment program design, test hierarchies, and statistical evaluations
Collaborates across departments on data consistency and quality
Coaches analysts, reviews deliverables, and drives standards
Enforces access control, documentation, and governance policies

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IC-7

Principal Product Analyst

Experience

Recognized expert and thought leader. Influences company-wide decisions, builds analytical culture, and defines strategy for scalable, privacy-compliant analytics.

Area of Responsibility

Leads strategic initiatives that shape how analytics is done across the company. Designs shared metric platforms, consults C-level leaders, and oversees governance of data access and usage. Acts as a speaker, and standard-setter for analytical excellence.

Skills

Designs cross-functional data models and metric frameworks
Scales analytics infrastructure and promotes best practices company-wide
Uses Python/R for custom models, advanced automation, or experimentation platforms
Oversees data contracts and interfaces between analytics and engineering
Advises leadership based on holistic product data ecosystems
Shapes internal policies for privacy, security, and access to sensitive product data
Builds a culture of mentorship, collaboration, and business-focused analytics
Represents analytics at internal and external events (meetups, conferences)

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No items found.

IC-1

Trainee

Experience

Entry-level, little to no prior professional experience in frontend development.

Area of Responsibility

Learning and applying basic frontend concepts, writing simple components under supervision.

Skills

HTML/CSS: Understanding and using basic HTML elements and CSS styles.
JavaScript: Familiarity with basic JavaScript (ES6+) concepts.
Git: Basic version control operations, understanding of repositories.
Soft Skills: Effective communication, openness to feedback, willingness to learn and improve.

IC-2

Junior

Experience

More then 1 year of experience in frontend development.

Area of Responsibility

Developing small features, fixing bugs, and understanding project architecture.

Skills

HTML/CSS: Proficient in semantic HTML and CSS preprocessors (e.g., Sass).
JavaScript: Knowledge of ES6+, basic use of libraries like Vue.js or React.
Version Control: Confident use of Git, contributing to code reviews.
Soft Skills: Basic teamwork and communication, handling constructive criticism.

IC-3

Middle I

Experience

More then 2 years of solid frontend experience.

Area of Responsibility

Developing features independently, improving existing components, participating in code reviews.

Skills

JavaScript & Frameworks: Deep knowledge of ES6+, Vue.js ecosystem, understanding UI component libraries.
Coding Practices: Writing clean and maintainable code, understanding coding patterns and principles.
Infrastructure: Familiarity with build tools (Webpack, Babel) and CI/CD pipelines.
Soft Skills: Working well in a team, basic problem-solving and critical thinking.

IC-4

Middle II

Experience

More then 3 years of experience in frontend, capable of handling complex tasks.

Area of Responsibility

Leading feature implementation, optimizing performance, and mentoring juniors.

Skills

Advanced JavaScript: Mastery of core concepts, meta-frameworks, and server-side rendering (SSR).
Testing: Writing unit tests and understanding end-to-end testing frameworks.
Optimization: Improving load times, optimizing SEO, and handling responsive design challenges.
Soft Skills: Effective collaboration, taking initiative, and providing constructive feedback.

IC-5

Senior I

Experience

More then 4 years of frontend development experience.

Area of Responsibility

Designing and implementing complex systems, contributing to architectural decisions.

Skills

Architecture & Patterns: Understanding design patterns, OOP, and functional programming.
Security: Awareness of common vulnerabilities and how to mitigate them.
Performance Tuning: Deep understanding of browser performance and optimization.
Soft Skills: Strong communication, mentoring, and conflict resolution skills.

IC-6

Senior II

Experience

Recognized as an expert in frontend development.

Area of Responsibility

Driving project quality, ensuring best practices, leading codebase improvements.

Skills

Frontend Mastery: Proficient in multiple frameworks (Vue.js, React, Angular), full understanding of TypeScript.
Code Review & Testing: Leading code reviews, implementing automated testing strategies.
CI/CD & Infrastructure: Advanced setup and maintenance of continuous integration and delivery.
Soft Skills: Strategic thinking, decision-making, and adaptability to change.

IC-7

Principal

Experience

Strategic leader in frontend development.

Area of Responsibility

Shaping the technical direction, mentoring senior engineers, overseeing large projects.

Skills

Strategic Planning: Defining and implementing frontend strategies, architectural design.
Innovation: Proposing innovative solutions, optimizing frameworks and libraries.
Stakeholder Communication: Effectively interacting with product owners and management.
Soft Skills: High-level collaboration, influencing team direction, handling complex challenges.

IC-8

Tech Lead

Experience

Extensive experience in leading frontend projects and teams.

Area of Responsibility

Technical leadership, architecture design, and ensuring project alignment with company goals.

Skills

Technology Leadership: Guiding the team on technical implementations, making strategic tech decisions.
Code Quality: Establishing and maintaining coding standards, enforcing best practices.
CI/CD & DevOps: Expertise in infrastructure, server configuration, and deployment strategies.
Soft Skills: Effective delegation, inspiring and motivating the team, strategic decision-making.

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Individual Contributor

IC-3

Middle I – Data Engineer

Experience

1–2 years of experience in backend or data-related roles. Works under guidance to build and maintain stable pipelines. Understands data flow concepts and core engineering practices.

Area of Responsibility

Implements and supports data pipelines. Works on batch ingestion, transformation logic, and delivery to data marts. Ensures reliability and correctness of data, and follows internal data access and privacy rules.

Skills

Writes SQL for extraction and transformation
Python for basic data manipulation scripts
Familiar with ETL tools (e.g., Airflow, dbt, or similar)
Understands DWH structure (BigQuery, Snowflake, Redshift)
Works with data versioning, schema changes, and logging
Follows code review, CI/CD, and monitoring standards
Applies internal security policies to data access and storage

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IC-4

Middle II – Data Engineer

Experience

2–3 years of experience in data engineering. Independently builds and optimizes data pipelines. Supports integration with internal products and ensures system performance and compliance.

Area of Responsibility

Designs and maintains batch and incremental pipelines. Works with multiple data sources and teams. Improves performance and cost-efficiency. Supports platform scalability, monitoring, and secure access practices.

Skills

Advanced SQL for analytics-ready data modeling
Python (pandas, pyarrow, logging) for processing and automation
Experience with Airflow, dbt, or equivalent orchestration tools
Integrates APIs, message queues (Kafka, Pub/Sub), and external connectors
Applies best practices for DAG monitoring and recovery
Works with IAM, audit logs, and security roles for data infrastructure
Builds data validation and test coverage into pipelines

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IC-5

Senior I – Data Engineer

Experience

4–6 years in data infrastructure or engineering. Designs scalable systems, mentors engineers, and owns production pipelines. Collaborates cross-functionally with analysts, ML engineers, and backend teams.

Area of Responsibility

Owns core pipeline architecture. Improves performance, resilience, and observability of data systems. Defines technical standards and drives adoption of secure, scalable data practices. Consults product teams on data integration.

Skills

Designs modular and testable pipelines
Expert in SQL performance tuning and incremental logic
Python for reusable components and workflow automation
Strong Airflow/dbt knowledge; builds complex DAGs
Works with cloud platforms (GCP, AWS) and manages cost
Implements role-based access, encryption, and secure data movement
Reviews and mentors junior and mid-level engineers

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IC-6

Senior II – Data Engineer

Experience

6+ years in data infrastructure or platform teams. Leads architecture of ingestion, transformation, and data distribution. Ensures horizontal scalability and governance.

Area of Responsibility

Owns cross-team pipelines and platform strategy. Builds reusable components, manages critical workflows, and enforces documentation and access policies. Collaborates across domains.

Skills

Owns modular data platform logic and reusable pipelines
Designs schema evolution strategy and version control
Leads observability and telemetry integrations
Sets security, retention, and classification policies
Collaborates with DevOps, InfoSec, and data consumers
Mentors other engineers and leads technical design reviews

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IC-7

Principal Data Engineer

Experience

Strategic thinker and system architect. Owns long-term platform vision, partners with executives, and mentors across departments.

Area of Responsibility

Defines company-wide data engineering standards. Leads cross-functional architectural decisions. Ensures compliance, observability, and scalability across the data stack. Represents data function at leadership level.

Skills

Defines data platform strategy (batch + real-time)
Oversees tool evaluation, vendor integration, and infra scaling
Leads security audits, compliance efforts, and access frameworks
Establishes data governance, lineage tracking, and documentation standards
Acts as technical advisor to engineering leadership
Advocates for data reliability and ML readiness
Shares expertise externally (talks, publications)

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No items found.

IC-1

Trainee

Experience

Entry-level, little to no prior professional experience in frontend development.

Area of Responsibility

Learning and applying basic frontend concepts, writing simple components under supervision.

Skills

HTML/CSS: Understanding and using basic HTML elements and CSS styles.
JavaScript: Familiarity with basic JavaScript (ES6+) concepts.
Git: Basic version control operations, understanding of repositories.
Soft Skills: Effective communication, openness to feedback, willingness to learn and improve.

IC-2

Junior

Experience

More then 1 year of experience in frontend development.

Area of Responsibility

Developing small features, fixing bugs, and understanding project architecture.

Skills

HTML/CSS: Proficient in semantic HTML and CSS preprocessors (e.g., Sass).
JavaScript: Knowledge of ES6+, basic use of libraries like Vue.js or React.
Version Control: Confident use of Git, contributing to code reviews.
Soft Skills: Basic teamwork and communication, handling constructive criticism.

IC-3

Middle I

Experience

More then 2 years of solid frontend experience.

Area of Responsibility

Developing features independently, improving existing components, participating in code reviews.

Skills

JavaScript & Frameworks: Deep knowledge of ES6+, Vue.js ecosystem, understanding UI component libraries.
Coding Practices: Writing clean and maintainable code, understanding coding patterns and principles.
Infrastructure: Familiarity with build tools (Webpack, Babel) and CI/CD pipelines.
Soft Skills: Working well in a team, basic problem-solving and critical thinking.

IC-4

Middle II

Experience

More then 3 years of experience in frontend, capable of handling complex tasks.

Area of Responsibility

Leading feature implementation, optimizing performance, and mentoring juniors.

Skills

Advanced JavaScript: Mastery of core concepts, meta-frameworks, and server-side rendering (SSR).
Testing: Writing unit tests and understanding end-to-end testing frameworks.
Optimization: Improving load times, optimizing SEO, and handling responsive design challenges.
Soft Skills: Effective collaboration, taking initiative, and providing constructive feedback.

IC-5

Senior I

Experience

More then 4 years of frontend development experience.

Area of Responsibility

Designing and implementing complex systems, contributing to architectural decisions.

Skills

Architecture & Patterns: Understanding design patterns, OOP, and functional programming.
Security: Awareness of common vulnerabilities and how to mitigate them.
Performance Tuning: Deep understanding of browser performance and optimization.
Soft Skills: Strong communication, mentoring, and conflict resolution skills.

IC-6

Senior II

Experience

Recognized as an expert in frontend development.

Area of Responsibility

Driving project quality, ensuring best practices, leading codebase improvements.

Skills

Frontend Mastery: Proficient in multiple frameworks (Vue.js, React, Angular), full understanding of TypeScript.
Code Review & Testing: Leading code reviews, implementing automated testing strategies.
CI/CD & Infrastructure: Advanced setup and maintenance of continuous integration and delivery.
Soft Skills: Strategic thinking, decision-making, and adaptability to change.

IC-7

Principal

Experience

Strategic leader in frontend development.

Area of Responsibility

Shaping the technical direction, mentoring senior engineers, overseeing large projects.

Skills

Strategic Planning: Defining and implementing frontend strategies, architectural design.
Innovation: Proposing innovative solutions, optimizing frameworks and libraries.
Stakeholder Communication: Effectively interacting with product owners and management.
Soft Skills: High-level collaboration, influencing team direction, handling complex challenges.

IC-8

Tech Lead

Experience

Extensive experience in leading frontend projects and teams.

Area of Responsibility

Technical leadership, architecture design, and ensuring project alignment with company goals.

Skills

Technology Leadership: Guiding the team on technical implementations, making strategic tech decisions.
Code Quality: Establishing and maintaining coding standards, enforcing best practices.
CI/CD & DevOps: Expertise in infrastructure, server configuration, and deployment strategies.
Soft Skills: Effective delegation, inspiring and motivating the team, strategic decision-making.

└──

Individual Contributor

IC-3

Middle I – AI Engineer

Experience
1–2 years. First independent steps in ML engineering.

Area of Responsibility
Implements inference pipelines and APIs for ML models under supervision. Supports batch and real-time predictions, ensuring correctness of integration and basic monitoring.

Skills

Packages models into reproducible Docker images for deployment.
Applies Python and SQL for data preprocessing, model input validation, and basic monitoring queries.
Writes REST APIs (Flask, FastAPI) to serve predictions.
Sets up logging and error handling as part of ML service best practices.
Uses CI/CD basics to deploy services consistently.
Documents pipelines and follows internal coding standards.

IC-4

Middle II – AI Engineer

Experience
2–4 years. Works independently on production ML systems.

Area of Responsibility
Builds and maintains end-to-end ML pipelines, ensuring scalability, automation, and monitoring. Collaborates with data scientists to deploy models into production and takes responsibility for system reliability.

Skills

Designs ML pipelines with modular, reusable components for fast iteration.
Uses Python and SQL to automate data flows and monitor ML pipeline performance.
Implements CI/CD workflows with automated tests and rollback strategies.
Uses orchestration tools (Airflow, Kubeflow) for scheduling and automation.
Applies monitoring dashboards (Prometheus, Grafana) for drift and latency tracking.
Embeds security and compliance controls into deployment pipelines.

IC-5

Senior I – AI Engineer

Experience
4–6 years. Subject-matter expert in ML engineering.

Area of Responsibility
Leads deployment and optimization of ML models in production. Ensures scalability, reliability, and efficiency of AI systems, while mentoring junior colleagues.

Skills

Builds robust ML pipelines with automated validation and fallback mechanisms.
Applies advanced Python and SQL scripting for production-grade model deployment and system optimization.
Applies container orchestration best practices with Kubernetes for scaling.
Implements drift detection and automated alerting frameworks.
Optimizes infrastructure for performance vs. cost trade-offs.
Coaches juniors on clean, maintainable ML service code.

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IC-6

Senior II – AI Engineer

Experience
6–8 years. Recognized authority in AI systems engineering.

Area of Responsibility
Designs scalable and resilient AI infrastructure. Aligns AI systems with enterprise standards, balancing model performance with operational efficiency and compliance.

Skills

Implements distributed training and inference pipelines for large datasets.
Leverages Python and SQL for large-scale data orchestration, distributed model monitoring, and performance analytics.
Designs multi-model serving solutions (AB testing, canary deployments).
Establishes standards for experiment reproducibility, logging, and lineage.
Applies responsible AI practices in engineering workflows (auditability, explainability).
Acts as technical consultant for cross-functional product and infra teams.

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IC-7

Principal AI Architect

Experience
8–10 years. Defines company-wide AI engineering architecture.

Area of Responsibility
Owns the technical vision for AI infrastructure across the company. Establishes standards for platform reliability, lifecycle management, and integration of AI at scale.

Skills

Designs enterprise-level AI architecture and sets engineering standards.
Defines enterprise standards for Python and SQL usage in AI systems, ensuring efficiency, security, and scalability.
Evaluates emerging technologies (LLM ops, vector databases, multi-modal AI) for adoption.
Embeds compliance and governance frameworks (GDPR, ISO/IEC) into ML platforms.
Defines best practices for secure, scalable, and cost-efficient AI systems.
Acts as cross-team technical authority, influencing both product and executive strategy.

No items found.

IC-1

Trainee

Experience

Entry-level, little to no prior professional experience in frontend development.

Area of Responsibility

Learning and applying basic frontend concepts, writing simple components under supervision.

Skills

HTML/CSS: Understanding and using basic HTML elements and CSS styles.
JavaScript: Familiarity with basic JavaScript (ES6+) concepts.
Git: Basic version control operations, understanding of repositories.
Soft Skills: Effective communication, openness to feedback, willingness to learn and improve.

IC-2

Junior

Experience

More then 1 year of experience in frontend development.

Area of Responsibility

Developing small features, fixing bugs, and understanding project architecture.

Skills

HTML/CSS: Proficient in semantic HTML and CSS preprocessors (e.g., Sass).
JavaScript: Knowledge of ES6+, basic use of libraries like Vue.js or React.
Version Control: Confident use of Git, contributing to code reviews.
Soft Skills: Basic teamwork and communication, handling constructive criticism.

IC-3

Middle I

Experience

More then 2 years of solid frontend experience.

Area of Responsibility

Developing features independently, improving existing components, participating in code reviews.

Skills

JavaScript & Frameworks: Deep knowledge of ES6+, Vue.js ecosystem, understanding UI component libraries.
Coding Practices: Writing clean and maintainable code, understanding coding patterns and principles.
Infrastructure: Familiarity with build tools (Webpack, Babel) and CI/CD pipelines.
Soft Skills: Working well in a team, basic problem-solving and critical thinking.

IC-4

Middle II

Experience

More then 3 years of experience in frontend, capable of handling complex tasks.

Area of Responsibility

Leading feature implementation, optimizing performance, and mentoring juniors.

Skills

Advanced JavaScript: Mastery of core concepts, meta-frameworks, and server-side rendering (SSR).
Testing: Writing unit tests and understanding end-to-end testing frameworks.
Optimization: Improving load times, optimizing SEO, and handling responsive design challenges.
Soft Skills: Effective collaboration, taking initiative, and providing constructive feedback.

IC-5

Senior I

Experience

More then 4 years of frontend development experience.

Area of Responsibility

Designing and implementing complex systems, contributing to architectural decisions.

Skills

Architecture & Patterns: Understanding design patterns, OOP, and functional programming.
Security: Awareness of common vulnerabilities and how to mitigate them.
Performance Tuning: Deep understanding of browser performance and optimization.
Soft Skills: Strong communication, mentoring, and conflict resolution skills.

IC-6

Senior II

Experience

Recognized as an expert in frontend development.

Area of Responsibility

Driving project quality, ensuring best practices, leading codebase improvements.

Skills

Frontend Mastery: Proficient in multiple frameworks (Vue.js, React, Angular), full understanding of TypeScript.
Code Review & Testing: Leading code reviews, implementing automated testing strategies.
CI/CD & Infrastructure: Advanced setup and maintenance of continuous integration and delivery.
Soft Skills: Strategic thinking, decision-making, and adaptability to change.

IC-7

Principal

Experience

Strategic leader in frontend development.

Area of Responsibility

Shaping the technical direction, mentoring senior engineers, overseeing large projects.

Skills

Strategic Planning: Defining and implementing frontend strategies, architectural design.
Innovation: Proposing innovative solutions, optimizing frameworks and libraries.
Stakeholder Communication: Effectively interacting with product owners and management.
Soft Skills: High-level collaboration, influencing team direction, handling complex challenges.

IC-8

Tech Lead

Experience

Extensive experience in leading frontend projects and teams.

Area of Responsibility

Technical leadership, architecture design, and ensuring project alignment with company goals.

Skills

Technology Leadership: Guiding the team on technical implementations, making strategic tech decisions.
Code Quality: Establishing and maintaining coding standards, enforcing best practices.
CI/CD & DevOps: Expertise in infrastructure, server configuration, and deployment strategies.
Soft Skills: Effective delegation, inspiring and motivating the team, strategic decision-making.

└──

Individual Contributor

IC-1

Intern – Data Scientist

Experience

Student or fresh graduate, up to 6 months of practice.

Area of Responsibility

Supports data collection, annotation, and exploratory data analysis. Works on cleaning and preparing datasets under close supervision and assists more experienced colleagues in simple tasks.

Skills

Applies Python for small analytical tasks, focusing on data cleaning with pandas and NumPy.
Uses SQL to extract small datasets and validate queries.
Documents simple exploratory analysis in Jupyter notebooks.
Understands and applies descriptive statistics (mean, variance, distributions) to basic datasets.

IC-2

Junior – Data Scientist

Experience

6–18 months of experience in DS/ML.

Area of Responsibility

Builds simple models under guidance and assists in experiments by preparing data, running analyses, and documenting results. Provides reports on findings and supports the reproducibility of work.

Skills

Uses Python (SciPy, SkLearn) and writes SQL queries to extract and preprocess data from relational databases.
Trains simple ML models (logistic regression, decision trees) in scikit-learn and interprets evaluation metrics.
Applies visualization libraries (matplotlib, seaborn) to communicate data insights.
Practices version control with Git to track progress and ensure reproducibility.

IC-3

Middle – Data Scientist

Experience
1–2 years. Works independently on small tasks.

Area of Responsibility
Prepares features and datasets for ML models, runs experiments with supervision, and documents results in a structured and reproducible way. Ensures accuracy and clarity in presenting outcomes.

Skills

Designs features using domain knowledge and validates them with cross-validation.
Applies Python and SQL to build and optimize feature sets and analytical pipelines.
Applies best practices in experiment documentation to ensure reproducibility.
Uses Git and code review processes for collaborative model development.
Visualizes results using dashboards or structured plots to inform stakeholders.

IC-4

Middle II – Data Scientist

Experience
2–4 years. Works independently on full ML tasks.

Area of Responsibility
Develops and validates ML models for business cases such as NLP, CV, or recommendation systems. Designs and runs experiments, evaluates model performance, and communicates results to stakeholders.

Skills

Builds end-to-end ML workflows, from data ingestion to model validation.
Utilizes Python and SQL for scalable data preparation, feature engineering, and experiment automation.
Applies statistical testing (t-tests, chi-square) to validate hypotheses and experiments.
Uses cloud ML platforms (AWS Sagemaker, GCP Vertex AI) to scale training and deployment.
Implements experiment tracking with MLflow or similar tools to ensure visibility and comparison of results.
Communicates outcomes clearly to both technical and non-technical audiences.

IC-5

Senior I – Data Scientist

Experience
4–6 years. Recognized expert in one ML area.

Area of Responsibility
Leads ML projects end-to-end, ensures the quality and reproducibility of models, and mentors junior and middle colleagues. Balances technical delivery with business requirements.

Skills

Designs robust ML pipelines with automated data validation and monitoring.
Applies advanced Python and SQL techniques for large-scale data processing, feature optimization, and model integration.
Applies explainability techniques (SHAP, LIME) to ensure transparency in models.
Tunes hyperparameters systematically with frameworks (Optuna, Hyperopt).
Ensures production readiness by applying coding standards, testing, and CI/CD pipelines for ML.
Coaches juniors in writing reproducible, maintainable code and building reliable experiments.

IC-6

Senior II – Data Scientist

Experience
6–8 years. Acts as domain expert.

Area of Responsibility
Defines methodologies for DS experiments and specializes in areas such as NLP, CV, forecasting, or recommendation systems. Provides consulting and guidance for product teams and ensures the impact of DS projects.

Skills

Implements advanced ML architectures (transformers, deep embeddings) with PyTorch/TensorFlow.
Employs advanced Python and SQL for complex data pipelines, experiment reproducibility, and model explainability.
Designs responsible AI workflows: bias detection, fairness checks, and ethics reporting.
Leads statistical design of experiments and ensures results are scientifically valid.
Balances model performance with interpretability and business constraints.
Acts as a domain mentor and establishes technical standards for DS practices.

IC-7

Principal Data Scientist

Experience
8–10 years. Influences DS strategy in company.

Area of Responsibility
Defines the research and development agenda, sets standards for experimentation, and ensures scientific quality. Publishes results internally and externally and represents the company in research collaborations.

Skills

Evaluates and applies cutting-edge ML research to real-world problems.
Defines company-wide standards for Python and SQL usage across analytics, modeling, and experimentation workflows.
Sets organizational standards for reproducibility, experiment tracking, and peer review.
Builds partnerships with academic institutions for research collaboration.
Publishes or patents innovations, ensuring external recognition of company expertise.
Aligns DS research directions with long-term product strategy.

No items found.

IC-1

Trainee

Experience

Entry-level, little to no prior professional experience in frontend development.

Area of Responsibility

Learning and applying basic frontend concepts, writing simple components under supervision.

Skills

HTML/CSS: Understanding and using basic HTML elements and CSS styles.
JavaScript: Familiarity with basic JavaScript (ES6+) concepts.
Git: Basic version control operations, understanding of repositories.
Soft Skills: Effective communication, openness to feedback, willingness to learn and improve.

IC-2

Junior

Experience

More then 1 year of experience in frontend development.

Area of Responsibility

Developing small features, fixing bugs, and understanding project architecture.

Skills

HTML/CSS: Proficient in semantic HTML and CSS preprocessors (e.g., Sass).
JavaScript: Knowledge of ES6+, basic use of libraries like Vue.js or React.
Version Control: Confident use of Git, contributing to code reviews.
Soft Skills: Basic teamwork and communication, handling constructive criticism.

IC-3

Middle I

Experience

More then 2 years of solid frontend experience.

Area of Responsibility

Developing features independently, improving existing components, participating in code reviews.

Skills

JavaScript & Frameworks: Deep knowledge of ES6+, Vue.js ecosystem, understanding UI component libraries.
Coding Practices: Writing clean and maintainable code, understanding coding patterns and principles.
Infrastructure: Familiarity with build tools (Webpack, Babel) and CI/CD pipelines.
Soft Skills: Working well in a team, basic problem-solving and critical thinking.

IC-4

Middle II

Experience

More then 3 years of experience in frontend, capable of handling complex tasks.

Area of Responsibility

Leading feature implementation, optimizing performance, and mentoring juniors.

Skills

Advanced JavaScript: Mastery of core concepts, meta-frameworks, and server-side rendering (SSR).
Testing: Writing unit tests and understanding end-to-end testing frameworks.
Optimization: Improving load times, optimizing SEO, and handling responsive design challenges.
Soft Skills: Effective collaboration, taking initiative, and providing constructive feedback.

IC-5

Senior I

Experience

More then 4 years of frontend development experience.

Area of Responsibility

Designing and implementing complex systems, contributing to architectural decisions.

Skills

Architecture & Patterns: Understanding design patterns, OOP, and functional programming.
Security: Awareness of common vulnerabilities and how to mitigate them.
Performance Tuning: Deep understanding of browser performance and optimization.
Soft Skills: Strong communication, mentoring, and conflict resolution skills.

IC-6

Senior II

Experience

Recognized as an expert in frontend development.

Area of Responsibility

Driving project quality, ensuring best practices, leading codebase improvements.

Skills

Frontend Mastery: Proficient in multiple frameworks (Vue.js, React, Angular), full understanding of TypeScript.
Code Review & Testing: Leading code reviews, implementing automated testing strategies.
CI/CD & Infrastructure: Advanced setup and maintenance of continuous integration and delivery.
Soft Skills: Strategic thinking, decision-making, and adaptability to change.

IC-7

Principal

Experience

Strategic leader in frontend development.

Area of Responsibility

Shaping the technical direction, mentoring senior engineers, overseeing large projects.

Skills

Strategic Planning: Defining and implementing frontend strategies, architectural design.
Innovation: Proposing innovative solutions, optimizing frameworks and libraries.
Stakeholder Communication: Effectively interacting with product owners and management.
Soft Skills: High-level collaboration, influencing team direction, handling complex challenges.

IC-8

Tech Lead

Experience

Extensive experience in leading frontend projects and teams.

Area of Responsibility

Technical leadership, architecture design, and ensuring project alignment with company goals.

Skills

Technology Leadership: Guiding the team on technical implementations, making strategic tech decisions.
Code Quality: Establishing and maintaining coding standards, enforcing best practices.
CI/CD & DevOps: Expertise in infrastructure, server configuration, and deployment strategies.
Soft Skills: Effective delegation, inspiring and motivating the team, strategic decision-making.

M-8

Analyst Team Lead

Experience

6+ years in product, marketing, or business analytics. At least 1–2 years of experience in mentoring or leading analysts. Demonstrates strong business acumen, stakeholder management, and the ability to align data initiatives with strategic goals. Experienced in team management, hiring, and performance evaluation.

Area of Responsibility

Leads a team of analysts (typically 3–7) responsible for delivering insights across one or multiple business areas. Owns the team’s OKRs, hiring strategy, resource planning, and analytical roadmap. Ensures alignment between business objectives and analytical outputs.

Skills

Defines and tracks team-level OKRs in alignment with company and department goals
Hires, onboards, and mentors analysts; conducts performance reviews and skill assessments
Sets up workflows for discovery, prioritization, and delivery of analytical tasks
Collaborates closely with product, marketing, and leadership stakeholders
Ensures secure handling of sensitive data and compliance with privacy standards (GDPR, internal DLP, etc.)
Balances short-term delivery needs with long-term team development and tooling improvements
Creates documentation standards, metric definitions, and QA practices for team output
Acts as a bridge between business and analytics, translating strategic goals into measurable data initiatives
Builds a strong, transparent team culture with regular feedback, retrospectives, and professional growth planning

‍

M-9

Data & AI Manager

Experience

Extensive experience in analytics, data science, or AI engineering. Proven track record of managing cross-functional data teams and deploying AI-driven solutions. Skilled in strategic planning, team leadership, stakeholder engagement, and secure data governance.

Area of Responsibility

Leads a cross-functional team of analysts, data scientists, and ML engineers. Owns the company’s data and AI strategy. Aligns AI-driven initiatives with business goals. Oversees experimentation, model lifecycle, and data infrastructure. Responsible for hiring, team development, and execution of OKRs.

Skills

Leads team OKRs, performance reviews, hiring plans, and mentoring processes for analytics and AI teams
Builds and prioritizes AI/ML use cases (e.g., recommendation systems, customer segmentation, predictive modeling)
Oversees experimentation at scale: A/B tests, causal inference, uplift modeling
Ensures compliance with data security, privacy (GDPR), and internal governance standards
Partners with engineering to ensure scalability of ML models and observability of AI systems via MLOps and model monitoring
Owns cross-functional stakeholder alignment with product, marketing, legal, and executive teams
Drives adoption of self-serve analytics tools and empowers business units to leverage insights
Leads vendor selection and technology stack design: cloud, pipelines, ML frameworks, BI tools

‍

M-10

Head of Data & Analytics

Experience

10+ years in data leadership roles (e.g. Head of Data, Director of Analytics, VP Data). Proven track record in building and scaling cross-functional data teams. Deep expertise in analytics, data engineering, business intelligence, and AI/ML solutions. Experienced in setting data strategy, influencing C-level stakeholders, and ensuring enterprise-grade governance and compliance.

Area of Responsibility

Owns the company-wide data strategy and leads all data functions, including analytics, BI, data engineering, AI/ML, and marketing analytics. Oversees team structure, OKRs, and long-term vision for data infrastructure, insights, and innovation. Aligns data roadmap with business growth, product development, and regulatory compliance. Acts as a key partner to executive leadership in driving data-informed decision-making.

Skills

Defines and executes long-term data strategy aligned with company goals
Leads multidisciplinary teams: analytics, data engineering, BI, and AI/ML
Oversees development of data products, reports, dashboards, and experimentation frameworks
Manages scalable data infrastructure (pipelines, DWHs, integration layers)
Drives AI and machine learning adoption across business and product teams
Supports marketing, growth, and digital strategy through attribution and segmentation modeling
Ensures compliance with data privacy (e.g. GDPR) and governance frameworks
Collaborates with product, engineering, legal, and finance on cross-functional data initiatives
Owns team hiring, performance reviews, development plans, and succession strategy
Evangelizes data-driven culture and drives executive-level insight adoption

‍