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Role Roadmap

Data Scientist

Statistical thinking, experimentation, A/B testing, and product-facing analytics.

6 technologies in this stack — ordered Core → Edge → Hybrid bonus. Click any tile to start practicing.

Core

Core — lands the role. Baseline skills hiring managers screen for. Master these and you can land the role at market CTC.

Edge

Edge — lifts your CTC band. Rarer skills that strengthen negotiation — they can push the offer toward the top of the band (e.g. ₹30–40L+ for senior data roles).

Hybrid bonus

Hybrid bonus — broadens your profile. Cross-domain extras (e.g. Power BI for a Data Engineer) that open hybrid roles and raise your profile weightage with recruiters.

  1. Core
    1

    Statistics & A/B Testing

    Hypothesis testing, p-values, confidence intervals, A/B test design, and power analysis.

    Open practice tracks →
  2. Core
    2

    Pandas & NumPy

    DataFrames, vectorized operations, performance optimization, and common patterns.

    Open practice tracks →
  3. Core
    3

    SQL & Advanced SQL

    Query optimization, window functions, CTEs, and complex joins. Asked in every data role.

    Open practice tracks →
  4. Edge
    4

    Machine Learning

    Algorithms, evaluation metrics, bias/variance, feature engineering, and model selection.

    Open practice tracks →
  5. Edge
    5

    Product Analytics

    Metrics design, funnels, cohort analysis, and business problem-solving with data.

    Open practice tracks →
  6. Hybrid bonus
    6

    Python for Data Engineering

    Python scripting, data wrangling, OOP, and performance optimization for data pipelines.

    Open practice tracks →