Job Description

Our Audience Activation team develops data science solutions that help the business identify the right individuals, households, and geographic areas for campaign activation. We design robust predictive models to identify and prioritize relevant audiences, estimate audience potential, and support the measurement and prediction of campaign outcomes.

As a Senior Data Scientist, you will operate at the intersection of Data Science, Product, Engineering, and Commercial teams. You will work closely with Product teams to translate business requests into clearly defined and solvable analytical problems, design scalable modeling solutions, and communicate findings in a lucid and actionable manner. You will also collaborate closely with Data Engineers and Machine Learning Engineers to ensure that Data Science solutions can be productionized, monitored, and operated reliably at scale.

As a Senior Data Scientist, you will have the following primary responsibilities:

- Own Data Science solutions across their full lifecycle, including problem definition, exploratory analysis, solution design, model development, validation, productionization, monitoring, and continuous improvement.
- Partner with Product teams to understand business objectives, challenge assumptions, clarify requirements, and translate ambiguous requests into well-defined analytical problems, hypotheses, modeling approaches, and success criteria.




- Assess whether a business problem requires predictive modeling, statistical analysis, experimentation, rules-based logic, or a combination of approaches along with designing robust model validation strategies and define appropriate technical and business performance metrics.
- Evaluate the suitability, representativeness, strengths, and limitations of available datasets. Identify and appropriately address issues such as missing data, sampling bias, weighting, class imbalance, data leakage, and population drift.
- Translate model outputs and analytical findings into transparent business recommendations, explaining complex methodologies, assumptions, limitations, and trade-offs to both technical and non-technical audiences.
- Work closely with Data Engineers and Machine Learning Engineers to convert analytical prototypes into scalable, maintainable, and production-ready ML solutions.
- Mentor junior team members and support knowledge sharing across the wider Data Science community.
- Identify opportunities to improve existing methodologies, processes, frameworks, and tools.
- Stay informed about developments in audience analytics, machine learning, campaign optimization, experimentation, causal inference, and scalable ML engineering.
- Foster knowledge exchange within the company. Present GfK's Data Science expertise at conferences and workshops

📌 Senior Data Scientist (Pune)
🏢 Nielseniq
📍 Pune