Data Scientist Job by Datamatics | Mumbai

📌 Data Scientist – Campaign Effectiveness | Datamatics | Mumbai, India

📍 Location: Mumbai, India
🏢 Company: Datamatics Global Services Ltd.
🧠 Role: Data Scientist – Campaign Effectiveness
🕒 Experience Required: 7+ Years
🎓 Education: Bachelor’s / Master’s in Data Science, Statistics, Computer Science, or related field
💼 Employment Type: Full-Time
📊 Domain: Campaign Effectiveness, Causal Modeling, Machine Learning

✨ Why This Job is a Game-Changer for Data Scientists

Datamatics is hiring a high-impact Data Scientist to lead Campaign Effectiveness Analytics—a role that puts you at the heart of advanced modeling, causal inference, machine learning, R programming, SQL engineering, and large-scale marketing analytics.

If you love solving complex problems, optimizing data pipelines, designing causal frameworks, and building predictive models—this role empowers you to drive powerful insights, influence business decisions, and become the analytical backbone of global marketing campaigns.

🚀 Role Summary

As a Data Scientist (Campaign Effectiveness), you will:

• Build statistical models that measure the true impact of marketing campaigns

• Execute causal inference, hierarchical modeling, and longitudinal analysis

• Work extensively with R, SQL, SPSS, and multi-year campaign databases

• Develop data-driven insights that shape high-stakes digital marketing strategies

• Contribute to normative standards, analytics frameworks, and methodology improvement

🔥 Key Responsibilities (High Impact Tasks)

📊 Advanced Statistical Modeling & Causal Inference

• 🧩 Conduct causal inference, including:

  • Hierarchical modeling

  • Difference-in-Differences

  • Longitudinal design analysis

  • Control-based causal estimation

• 📈 Perform twinning, imputation & driver analysis using ML methods

• 📐 Build predictive and statistical models in R

🗄️ Database Management & SQL Engineering

• 🛢️ Query, retrieve, transform, and manage campaign databases using SQL

• 📁 Create and maintain multi-study database structures

• 📉 Pull curves, generate norms, and manage thousands of historical model curves

💡 Analytics & Insights

• 🔍 Conduct ad-hoc exploratory data analysis in SPSS

• 🔥 Evaluate campaign performance trends using statistical techniques

• 📊 Perform annual norms calculation and post-curve processing

• 📘 Maintain institutional knowledge around norms, data cleaning, QC processes

🧠 Modeling Operations & Workflow Management

• 🚀 Execute all modeling processes end-to-end in R

• 🧼 Implement thorough data cleaning, alignment, and consistency checks

• 🧾 Document insights, analytics decisions, and methodology updates

🎓 Qualifications (Must-Haves)

📘 Education

• Bachelor’s or Advanced Degree in:

  • Data Science

  • Statistics

  • Computer Science

  • OR any quantitative field

💼 Experience

• 7+ years in Data Science / Analytics

• Proven experience with:

  • Campaign Effectiveness

  • Market Research Analytics

  • Longitudinal data models

  • Advanced R programming

💡 Skills & Competencies (Strongly Preferred)

🛠️ Technical Skills

• 🧮 Expert in R (advanced modeling & analytics)

• 🗄️ SQL Mastery (complex queries, multi-study DBs)

• 📊 SPSS proficiency (exploratory analytics)

• 📈 Deep understanding of Campaign Effectiveness frameworks

• 🧠 Knowledge of imputation, twinning & panel data methods

🤝 Behavioral Skills

• 🔥 Strong analytical thinking

• 💬 Excellent communication & presentation

• 🧩 Problem-solving & critical reasoning

• 📌 Ability to handle large, multi-year datasets efficiently

• 🤖 Familiarity with ML workflows

🌟 Why Join Datamatics? (Value Proposition)

Work on High-Impact Analytics Projects

• 🧠 Solve complex campaign data challenges

• 📈 Build impactful models used by global clients

• 🎯 Influence marketing ROI strategies worldwide

Be Part of a Cutting-Edge Data Team

• 💼 Work with modern stacks: R, SQL, SPSS, ML frameworks

• 🤝 Collaborate with top analysts & data engineers

• 🧬 Upgrade your skills with continuous learning

Career Advancement

• 🚀 Fast-track growth in Analytics & Data Science

• 🧩 Work with global datasets & methodologies

• 💡 Build thought leadership in causal modeling & marketing analytics

"At Datamatics, Data Scientists don’t just analyze — they influence business at scale."