Job highlights

- Job Summary . About the Role We are seeking a Data Scientist with strong hands-on experience in Python,statistical modeling,and machine learning to build,deploy,and scale data science solutions
- The ideal candidate has experience across the ML lifecycle-from data preprocessing and model development to deployment,MLOps,and observability on AWS
- Required Skills Experience

Job Summary About the Role We are seeking a Data Scientist with strong hands-on experience in Python, statistical modeling, and machine learning to build, deploy, and scale data science solutions. The ideal candidate has experience across the ML lifecycle-from data preprocessing and model development to deployment, MLOps, and observability on AWS.

Experience in Marketing Mix Modeling (MMM) is preferred; candidates from MarTech, adtech, eCommerce, forecasting, optimization, or other modeling-intensive domains are also encouraged to apply.

Responsibilities

- Design, develop, deploy, and improve MMM models to measure marketing-channel effectiveness, ROI, and incrementality.
- Build forecasting, simulation, and budget-optimization models to support scenario planning and marketing strategy.
- Create Python-based pipelines for data ingestion, transformation, deduplication, validation, preprocessing, and feature engineering across large media and sales datasets.
- Perform advanced exploratory data analysis (EDA), assess data quality, and surface actionable insights.
- Build APIs and dashboards that present ROI, marginal ROI (MROI), contribution curves, and optimization recommendations within business workflows.
- Deploy and monitor ML solutions on AWS; maintain reproducible code, clear documentation, testing, and version control.
- Collaborate with engineering, marketing, product, and leadership teams to translate modeling results into business recommendations.

Required Skills Experience

- Strong Python programming for backend and data applications; advanced hands-on experience with Pandas, NumPy, and Scikit-learn.
- Solid data visualization skills using Matplotlib, Seaborn,



and Plotly.
- Proven experience developing Bayesian and machine learning models; knowledge of regression, hierarchical modeling, and forecasting.
- 4+ years designing, deploying, and optimizing data modeling and machine learning solutions; 5+ years of hands-on Python/SQL experience is preferred as stated in the technical requirements.
- Strong SQL skills, including DDL/DML, complex queries, and query optimization; experience with PostgreSQL.
- Experience designing and maintaining ETL pipelines and integrating data from multiple sources.
- Hands-on AWS experience with SageMaker, EC2, S3, Lambda, and related services; familiarity with Azure Functions and cloud-hosted PostgreSQL is beneficial.
- Experience with Git/GitHub workflows, branching, pull requests, code reviews, CI/CD, and deployment from source control.
- Ability to write robust unit and integration tests and work comfortably with Jupyter Notebooks.
- Strong analytical, communication, collaboration, and delivery skills in a deadline-driven environment.

Nice-to-Have

- Hands-on Marketing Mix Modeling (MMM) experience, including adstock, carryover, nonlinear effects, channel contribution, and budget optimization.
- Deep learning exposure with TensorFlow, PyTorch, or Hugging Face.
- Exposure to agentic AI frameworks and advanced AI platforms for data science and modeling.
- Experience with enterprise data pipelines and MLOps best practices.
- Full-stack exposure, including APIs, UI, and integration with data science platforms.

Education B.Tech / B.E. in Computer Science preferred. BCA or MCA candidates with strong relevant hands-on experience may also be considered. Ideal candidate: A hands-on modeler who can turn complex data into reliable ML solutions and clear business recommendations. MMM experience is a strong advantage, but relevant modeling experience in adjacent domains is welcome.

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Scientist - Marketing Mix Modeling (MMM) (Faridabad)
🏢 Ekloud
📍 Faridabad