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

Advantages:

- 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

📌 Data Scientist (Ahmedabad)
🏢 DX Factor
📍 Ahmedabad