Job Title: Senior Applied Data ScientistExperience: 5–7 Years (5+ years relevant experience)Location: Hyderabad / Pune (Hybrid)Industry: Product-Based (AI & Decision Intelligence)About the RoleWe 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 ResponsibilitiesAnalytical 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 explicit, 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 & QualificationsExperience: 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 CompetenciesHigh 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 ApplyInterested candidates can send their updated resumes directly to [email protected].

📌 Senior Data Scientist (Maharashtra)
🏢 Talentmatics
📍 Maharashtra