Sr. Data Scientist

Job Description

We are seeking an experienced and highly motivated Senior Data Scientist / Senior Data Science Engineer. This individual will play a key role in designing, implementing, and delivering cutting‑edge data science solutions that address complex business challenges.

It is a 100% Onsite position at Cary, NC

• Lead and deliver data science projects aligned with business strategy and performance targets.
• Implement end‑to‑end data science workflows including data collection, preprocessing, feature engineering, model development, deployment, monitoring, and optimization.
• Ensure model quality, reproducibility, and robustness.
• Apply advanced statistical modeling, machine learning, and data mining techniques to solve complex business problems.
• Build and deploy predictive models, optimization engines, recommender systems, NLP models, and other AI/ML solutions.
• Work with big data technologies and cloud‑native tools—preferably GCP, including Big Query, Dataflow, Dataproc, AI Platform, Vertex AI, Airflow, or equivalent.
• Write high‑quality, production‑ready code primarily in Python, following MLOps and software engineering best practices.
• Present model insights, performance metrics, and recommendations to senior managers and stakeholders.
• Contribute to roadmap planning, project scoping, and solution architecture discussions.
• Stay current with the latest trends in machine learning, AI frameworks, and cloud technologies.
• Evaluate emerging methodologies, tools, and algorithms to enhance data science capabilities.
• Propose innovative solutions that improve model performance, scalability, and business impact.

• Python, GCP (Big Query, Dataflow, Dataproc, AI Platform)

• Master’s degree or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related field.
• 10+ years of experience in data science, machine learning, applied analytics, or related disciplines.
• Experience in financial services, banking, insurance, or fintech.
• Proven experience developing, deploying, and operationalizing AI/ML solutions with measurable business impact.
• Strong programming skills in Python, including experience with machine learning frameworks (e.g., Tensor Flow, PyTorch, Scikit‑learn).
• Expertise working with cloud platforms, with strong preference for Google Cloud Platform (GCP) - Big Query, Dataflow, Dataproc, AI Platform, Vertex AI, etc.

• Familiarity with data visualization tools such as Tableau or Looker.
• Experience with MLOps practices and tools, including CI/CD pipelines for ML, model monitoring, and automated retraining.
• Experience with feature stores, model registries, and large‑scale ML deployment.