Senior Data Scientist

Job Title: Senior Data Scientist
Location: Columbus OH/ Pittsburg PA/ Richmond VA/ Louisville KY/ Charleston WV.
Long term Contract
Can do Only W2 No C2C

Job Summary:

We are seeking a highly skilled Senior Data Scientist Recommender Systems to support a large-scale retail/e-commerce personalization initiative.

The ideal candidate will have strong expertise in deep learning-based recommendation systems large-scale machine learning model development and production-grade ML solutions.

This role requires hands-on experience building recommendation engines conducting experimentation and collaborating with cross-functional teams to deliver personalized customer experiences.

Key Responsibilities:

• Design and develop advanced recommender systems for retail and e-commerce personalization.
• Build machine learning and deep learning models for product coupon and content recommendations.
• Define KPIs evaluation metrics and model performance tracking frameworks.
• Conduct A/B testing and offline model evaluations to measure recommendation effectiveness.
• Improve personalization strategies using customer behavior and preference data.
• Develop scalable pipelines for recommendation systems and large-scale model processing.
• Collaborate with ML Engineers Data Engineers Product Managers and business stakeholders.
• Support deployment monitoring versioning and lifecycle management of ML models.
• Build dashboards and analytical reports for model performance tracking.
• Document model architecture technical best practices and key learnings.
• Communicate complex machine learning concepts to technical and non-technical stakeholders.

Required Skills:

• Strong proficiency in Python and SQL.
• Minimum 2 years of experience with Deep Learning-based Recommender Systems.
• Experience building production-grade recommendation systems.
• Hands-on experience with large-scale machine learning model development.
• Experience with Spark for large-scale data processing.
• Strong expertise in TensorFlow or PyTorch.
• Experience with cloud platforms such as Azure or Google Cloud Platform (GCP).
• Strong understanding of Statistics A/B Testing and Experimentation Design.
• Excellent communication and stakeholder collaboration skills.
• Preferred Qualifications
• Experience with Databricks.
• Exposure to Data Engineering and MLOps practices.
• Experience in Retail or E-commerce domains.
• Experience with scalable ML pipelines and model deployment frameworks.
• Knowledge of model monitoring and versioning methodologies.

Best Regards: