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Data Scientist

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Remote

Data Scientist

DX Factor

Data Scientist

Skills

SQL QueriesPythonData ScienceNumPypandasData AnalysisMachine Learning

2 months ago

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Important information


Contract type:

Permanent

Location:

Gujarat, India

Work mode:

Remote

Published on:

27 August 2026

What they need


Profile: Data Scientist

Working Days: 5 Days (Monday to Friday)

Experience: 3 yrs and above

What You Will Do

  • Build predictive models for ad performance metrics such as click-through rate, conversion rate, cost per acquisition, and return on ad spend.
  • Develop simulation frameworks (Monte Carlo, scenario and what-if, budget allocation) to forecast campaign outcomes and support planning decisions before spend is committed.
  • Apply causal inference and incrementality methods to separate true ad impact from correlation.
  • Engineer features from large-scale impression, click, conversion, and spend data.
  • Own the full model lifecycle: problem framing, data preparation, training, evaluation, deployment, monitoring, and retraining.
  • Design and analyze experiments (A/B tests, holdouts) to validate model-driven decisions.
  • Partner with engineering to serve models in production and with stakeholders to turn business questions into measurable targets.

Required Technical Skills

  • Strong foundation in statistics and probability, and in traditional ML: regression, tree-based methods (XGBoost, LightGBM, CatBoost), clustering, and time-series forecasting.
  • Expert-level Python (pandas, NumPy, scikit-learn, statsmodels) and strong SQL.
  • Solid grounding in experimentation and causal inference: A/B testing, uplift and incrementality, confounding, and sample sizing.
  • Hands-on experience with simulation or optimization methods
  • Experience taking models from notebook to production, including evaluation, monitoring, and retraining.
  • Ability to quantify uncertainty and communicate assumptions clearly.

Nice to Have

  • Time-series forecasting at scale (ARIMA-family, Prophet, gradient-boosted forecasting).
  • Ad-tech or marketing analytics domain experience (attribution, bidding, campaign optimization).
  • MLOps experience (model registry, CI/CD for models, drift and performance monitoring).

Pay: ₹600,000.00 - ₹1,200,000.00 per year

Benefits:

  • Flexible schedule
  • Health insurance
  • Paid sick time
  • Paid time off
  • Provident Fund
  • Work from home

Ability to commute/relocate:

  • Ahmedabad, Gujarat (Ahmedabad): Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

  • What is your current CTC in LPA?
  • What is your expected CTC in LPA?
  • What is your notice period in days?

Education:

  • Bachelor's (Required)

Experience:

  • Data science: 3 years (Preferred)

Work Location: In person

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