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
Solid 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

Advantages:
Adaptable 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

📌 Data Scientist Ahmedabad
🏢 DX Factor
📍 Ahmedabad