Senior Data Scientist (Measurement) 5–7 Years

Job Title: Senior Data Scientist (Measurement) 5–7 Years Company: DiligentMinds Consulting Job Category: Data Science Roles & Responsibilities: The candidate will lead measurement initiatives involving A/B testing, statistical power analysis, experimental design, quasi-experimental methods, Difference-in-Differences (DiD), Propensity Score Matching (PSM), and causal modeling. KEY RESPONSIBILITIES 1. Design, implement, and analyze A/B tests and controlled experiments. 2. Design and implement Difference-in-Differences (DiD) analyses to estimate intervention effects over time. 1. Develop measurement frameworks to quantify the incremental impact of business initiatives. 5. Develop reusable analytical frameworks, standardized templates, and measurement documentation. D. COLLABORATION AND TECHNICAL LEADERSHIP 4. Support scalable measurement pipelines and automated reporting processes. 11. Strong communication and stakeholder management skills. 3. Develop robust causal analyses with clearly documented assumptions and limitations. 5. Deliver actionable business recommendations supported by statistical evidence. Work Location: In person Work Location: Delhi, India Availability: Full time

JOB TITLE: Senior Data Scientist – Measurement EXPERIENCE: 2-3 years 1. Partner with product, marketing, business, engineering, and analytics teams to define measurement requirements. REQUIRED QUALIFICATIONS 1. 2-3 years of experience in data science, experimentation, measurement science, econometrics, quantitative research, or causal inference. 2. Master's degree or equivalent quantitative background in Statistics, Economics, Econometrics, Mathematics, Data Science, or a related discipline. A PhD is an advantage. 4. Hands-on experience designing and analyzing A/B tests and controlled experiments. 5. Practical experience with statistical power analysis, confidence intervals, sample size estimation, and MDE calculations. 8. Proficiency in Python or R and strong SQL skills. 9. Experience with statistical libraries such as statsmodels, SciPy, scikit-learn, or equivalent R packages. PREFERRED QUALIFICATIONS 1. Experience with inverse probability weighting, doubly robust estimation, instrumental variables, regression discontinuity, or synthetic control methods. 2. Experience with longitudinal, panel, customer-level, marketing, product, or operational datasets. 4. Experience with marketing effectiveness, incrementality testing, attribution, or product experimentation. 7. Experience mentoring junior analysts or reviewing complex analytical projects. * Notice Period? * Current CTC? Key Skills: Data Science, Python, SQL, Statistics, Scikit-learn Salary: INR 1.04e+06 - 2.47e+06 per yearly