Senior Data Scientist

About the job

Unlock Your Potential as a Senior Data Scientist Leader We are seeking an exceptional Senior Data Scientist to lead our data science and machine learning initiatives. As a key member of our team, you will be responsible for developing end-to-end solutions that drive business impact. About the Role This is an exciting opportunity for a seasoned data scientist to join our organization and make a meaningful contribution to our success. You will work closely with product, engineering, and business stakeholders to deliver measurable results using machine learning, experimentation, and advanced analytics. Key Responsibilities - Problem Definition & Stakeholder Collaboration - Collaborate with cross-functional teams to translate ambiguous problems into clear data science use cases and success metrics. - Define hypotheses, experimentation strategies, and measurable outcomes for ML and analytics initiatives. - Data & Feature Engineering (AWS-native) - Design and build robust data pipelines using AWS services such as S3, Glue, Athena, Redshift, EMR, Lambda, Step Functions. - Develop scalable feature stores and reusable data assets for multiple ML use cases. - Ensure data quality, observability, and governance in collaboration with data engineering teams. - Modeling & Analytics - Build, train, and optimize models for use cases such as prediction, recommendation, forecasting, personalization, segmentation, anomaly detection, etc. - Use Python and standard ML libraries (e.g., scikit-learn, XGBoost, PyTorch/TensorFlow) for experimentation and prototyping. - Design and run A/B tests, holdout experiments, and causal analyses to measure impact. - MLOps & Deployment (AWS SageMaker) - Productionize models using Amazon SageMaker (training, tuning, endpoints, pipelines, model registry). - Implement CI/CD for ML, monitoring and alerting for model drift, data drift, and performance degradation. - Optimize cost and performance of deployed models and pipelines. - Leadership & Mentoring - Provide technical leadership on projects, setting standards for experimentation, documentation, and code quality. - Mentor junior data scientists and analysts; contribute to best practices, templates, and internal tooling. - Advocate for data-driven decision-making across the organization.

Requirements

• Python
• AWS
• Machine Learning
• Data Pipelines
• Feature Engineering

Qualifications

• 7+ years of hands-on experience in data science or applied machine learning roles.
• Proficiency in Python and ML/data libraries.

Preferred Technologies

• Python
• AWS
• Machine Learning
• Data Pipelines
• Feature Engineering