Data Scientist

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About Us

The Role

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You won't just be handed a ticket to "build a model." You will partner with Product Managers and Engineers to identify problems, formulate hypotheses, and prototype solutions that scale.

Key Responsibilities

• Exploratory Analysis:

  Mine large datasets to uncover trends, patterns, and user behaviors that drive product innovation.

• Modeling:

  Build and validate predictive models (Regression, Classification, Clustering) using

  Python (Scikit-Learn/Pandas)

  .

• Experimentation:

  Design, execute, and analyze

  A/B tests

  to validate product changes.

• Data Wrangling:

  Write complex

  SQL

  queries to extract data and build lightweight ETL pipelines for your analysis.

• Storytelling:

  Visualize your findings (using Tableau, Looker, or Matplotlib) and present actionable recommendations to stakeholders.
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What You Bring (Requirements)

• Experience:

  3+ years of experience in a Data Science or Analytics role.

• Education:

  Degree in Math, Statistics, Computer Science, Economics, or related quantitative field.

• The Toolkit:

• Expert-level

  SQL

  (Joins, Window Functions, CTEs).
• Strong proficiency in

  Python

  (preferred) or

  R

  .
• Experience with libraries like Pandas, NumPy, Scikit-learn.

• The Math:

  Solid grasp of statistics (Hypothesis testing, distributions, bias/variance).

• The Soft Skills:

  Ability to translate complex technical results into plain English for non-technical partners.

Bonus Points

• Experience with Cloud Data Warehouses (Snowflake, BigQuery).
• Experience deploying models as APIs (Flask/FastAPI).
• Familiarity with causal inference techniques.

How to Apply