Job Title: Senior Applied Data Scientist

Experience: 5–7 Years (5+ years relevant experience)

Location: Hyderabad / Pune (Hybrid)

Industry: Product-Based (AI & Decision Intelligence)

About the Role

We are seeking a Senior Applied Data Scientist with 5+ years of experience in Applied Data Science, Decision Science, or Business Analytics to drive high-impact decision-intelligence initiatives. In this role, you will lead end-to-end analytical projects, translating complex business challenges into structured hypotheses, predictive frameworks, and actionable growth recommendations. You will work closely with cross-functional leadership, mentor junior analysts, and build reusable data assets that directly power our enterprise AI decision intelligence platform.

Key Responsibilities

- Analytical Leadership & Delivery: Lead end-to-end applied data science initiatives from problem framing and methodology selection to stakeholder alignment and final execution.
- Exploratory & Diagnostic Analysis: Perform root-cause, cohort, trend, variance, scenario, and sensitivity analysis on large-scale enterprise datasets.
- Decision-Support & Modeling: Develop statistical models, forecasting workflows, market segmentation, pricing/revenue optimization frameworks, and A/B testing methodologies.
- Data Engineering Collaboration: Build reliable SQL queries, Python automation scripts, and reusable data assets;
partner with data engineers to establish robust data quality checks and metrics consistency.
- Dashboards & Narrative Reporting: Translate analytical outputs into transparent, stakeholder-ready stories and visualizations using tools like Tableau, Power BI, or Looker.
- Mentorship & Standards:



Review analytical work for rigor and business value;
mentor junior data scientists on SQL, Python, and structured problem-solving.

Required Technical Skills & Qualifications

- Experience: 5–7 years of total experience with 5+ years dedicated to Applied Data Science, Decision Science, Business Analytics, or Quantitative Analytics.
- Education: B.E., B.Tech, M.E., M.Tech, B.Sc., or M.Sc. in Statistics, Mathematics, Economics, Data Science, Computer Science, Engineering, Operations Research, or equivalent.
- Core Technical Stack:
- Advanced SQL for dataset creation, complex joins, and validation.
- Proficiency in Python for data analysis, automation, and statistical computing.
- Experience with visualization platforms (Tableau, Power BI, Looker).
- Statistical Mastery: Deep understanding of descriptive/inferential statistics, probability, sampling, hypothesis testing, regression, time-series forecasting, and optimization frameworks.
- Domain Applications: Hands-on experience designing approaches for pricing, demand forecasting, revenue management, customer segmentation, or operational risk.

Personal Competencies

- High business curiosity with a proven ability to map analytical outputs to practical financial outcomes.
- Strong written and verbal communication skills for presenting complex data to non-technical stakeholders.
- Structured problem-solving mindset with an ownership mentality and high attention to detail.
- Excellent cross-functional leadership, stakeholder management, and team-mentoring abilities.

How to Apply

Interested candidates can send their updated resumes directly to [email protected].

📌 Senior Data Scientist (India)
🏢 Talentmatics
📍 India