Senior Data Scientist

Job Description

Senior Data Scientist

• 10+ years of experience in data science, applied ML, or quantitative analytics.
• Expert-level proficiency in Python, R, and ML libraries (Tensor Flow, PyTorch, Scikit learn, XGBoost, etc.).
• Strong SQL skills and experience with distributed computing platforms (Spark, Databricks, Snowflake).
• Proven success deploying ML models into production.
• Deep understanding of statistics, probability, experimental design, and algorithmic foundations.
• Experience with cloud ecosystems (Azure, AWS, GCP).

• Design, build, and deploy advanced machine learning models—including supervised, unsupervised, deep learning, NLP, and optimization techniques.
• Lead full model lifecycle development: problem framing, data discovery, feature engineering, model training, validation, deployment, and monitoring.
• Build scalable ML pipelines (batch and real time) using modern MLOps tools and best practices.
• Apply advanced statistical methods to address forecasting, experimentation, causal inference, segmentation, and predictive analytics needs.

• Partner with engineering teams to define data architecture, ingestion strategies, and model operationalization standards.
• Ensure data integrity through rigorous governance, quality checks, validation, and profiling.
• Evaluate and recommend tools, platforms, and frameworks that support AI/ML scalability and innovation.
• Design and launch new data models, datasets, and pipelines to support analytics, reporting, and product use cases.

• Translate complex analytical findings into clear, actionable insights and recommendations for senior leadership.
• Work closely with product, operations, economics, finance, marketing, and informatics teams to define use cases, quantify ROI, and influence strategy.
• Lead cross functional teams through experimentation, solution development, and iterative improvement.
• Produce impactful dashboards, visualizations, and storytelling that clarify trends, financial implications, and insights for executive audiences.
• Coordinate data perspectives across functional groups to ensure consistent interpretation of trends, measurements, and methodologies.

• Lead development and deployment of predictive models, NLP systems, and emerging LLM based solutions.
• Serve as a thought leader on advanced analytics, AI, data science frameworks, and proprietary data product development.
• Drive continuous innovation by monitoring emerging technologies, evaluating new methodologies, and integrating them into current and future business solutions.
• Collaborate with IT to design and operationalize MLOps and Dev Ops pipelines, positioning AI as a scalable product capability.

• Master’s or PhD in Computer Science, Statistics, Mathematics, Engineering, or related field.
• Hands on experience with MLOps tools (MLflow, Airflow, Kubeflow).
• Strong executive presence with experience presenting to VP and C level audiences and managing escalations.
• Experience with generative AI, LLM implementations, and advanced NLP pipelines.
• Track record of leading large AI/ML programs and mentoring data science teams.

Salary Range- $100,000-$115,000 a year

• BACHELOR OF COMPUTER SCIENCE