ti Steps is hiring a Product Data Scientist – Analytics, Insights & Measurement in Bengaluru. This role is ideal for professionals who want to apply advanced analytics, statistics, and data science techniques to influence product strategy, define KPIs, and drive measurable business impact.
The position involves close collaboration with Product Management, Engineering, and Research teams to analyze product performance, design measurement frameworks, and support data-driven product decisions.
| Category | Details |
|---|---|
| Company | ti Steps |
| Job Role | Product Data Scientist – Analytics, Insights & Measurement |
| Experience | 0–5 Years |
| Location | Bengaluru |
| Work Model | Work From Office |
| Employment Type | Full-Time, Permanent |
| Industry | IT Services & Consulting |
| Department | Data Science & Analytics |
| Role Category | Data Science & Machine Learning |
| Requirement | Details |
|---|---|
| Education (UG) | Bachelor’s in Statistics, Mathematics, Data Science, Engineering, Physics, Economics or Related Field |
| Education (PG – Preferred) | Master’s in Quantitative / Data Science Related Field |
| Core Technical Skills | Python / R / SQL, Statistical Analysis |
| Preferred Skills | Product Analytics, Marketing Analytics, KPI Measurement, Dashboards |
As a Product Data Scientist, you will play a critical role in shaping product performance and measurement strategies. You will define key success metrics, perform deep data analysis, and generate insights that influence product optimization and experimentation.
This role blends advanced analytics, statistical modeling, experimentation, and stakeholder communication to drive informed product decisions.
Candidates with a Bachelor’s degree in a quantitative field and relevant analytics experience can apply. A Master’s degree is preferred.
This role requires prior analytics experience. Candidates with 2+ years (with Master’s) or 5+ years (Bachelor’s) are preferred.
Proficiency in Python, R, SQL, and statistical analysis is essential.
You will define KPIs, analyze product performance, support experimentation, and create data-driven insights for product teams.
Yes, strong communication skills are required to present insights to both technical and business stakeholders.
Below are highly relevant roles for candidates interested in Product Analytics, Data Science, Business Intelligence, and Advanced Analytics careers.
| Company | Job Role | Location |
|---|---|---|
| American Express | Analyst – Data Science | Bengaluru |
| Cencora | Data Engineer I | Pune |
| Definitive Healthcare | Analyst – Data Analytics (Python) | Bengaluru |
| MarketStar | Data Analyst | Bengaluru / Hyderabad |
| PwC | Associate – Data Analytics | Bengaluru |
| KPMG | Associate 1 – Analyst (AI Hub GDC) | Hyderabad / Bengaluru |
| Moody’s | Data Operations Associate | Gurugram |
| CSG | Operational Engineer I | Bengaluru |
Other similar jobs that might interest you