Top Candidate Search Group · 12 hours ago
Senior Applied Data Scientist
Chelmsford, MA
Full-time
Hybrid
Mid, Senior Level
$130K/yr - $170K/yr
3+ years expTop Candidate Search Group is a U.S. based manufacturer of life-saving medical devices, seeking a Senior Applied Data Scientist. The role involves applying machine learning techniques, preparing data for workflows, and supporting AI model evaluation, while also performing statistical analysis and driving continuous improvement through innovative analytics solutions.
Staffing & Recruiting
Hiring Manager
Georgia Miguel
Responsibilities
Apply machine learning techniques to derive insights
Prepare and structure data for LLM workflows
Experiment with emerging AI tools, prototyping new techniques that enhance automation, documentation, and storytelling for decision support
Support AI model evaluation, accuracy assessment, and guardrail development for use in regulated environments
Frame ambiguous problems, define analytical approaches, and iterate toward transformational solutions
Partner with software developers to integrate ML/AI components into internal tools, assistants, and automation solutions
Ensure analytic methods and models follow traceability, reproducibility, and documentation expectations suitable for regulated environments
Perform statistical analysis, predictive modeling, and anomaly detection to support engineering and product support decisions
Translate complex data into actionable recommendations
Develop definitions of KPIs, metrics, and analytical logic
Couple analytical models with data visualizations
Monitor product failures, service efficiency, operational trends, and customer feedback
Partner with IT and data platform teams to access and prepare datasets and data transformations to support dashboards, analytics and AI models
Adhere to data privacy, cybersecurity, and internal governance standards when handling service, customer, or field data
Identify and recommend opportunities for automation, advanced analytics, and AI-driven enhancements to business processes
Research and vet 3rd party technology vendors to assess potential partnerships
Stay current with emerging AI, ML, and analytics technologies, and evaluate their applicability to current operational
Qualification
Required
Minimum education of Bachelor's Degree in Data Science, Engineering, Computer Science, Applied Mathematics, Statistics, or a related discipline
3+ years of experience in analytics engineering, data analysis, machine learning application development, or similar roles
Medical device or regulated industry experience is a MUST
Experience working with engineering, product support, or industrial data environments
Ability to clean, transform, and prepare datasets for analytics and AI workflows
Comfort with complex and ambiguous datasets
Strong communication and data storytelling abilities
Preferred
Proficiency developing dashboards, predictive analytics, or AI-driven tools in an engineering, industrial, or operations environment
Experience working with: datasets (Oracle Cloud, Camstar, Salesforce, ServiceMax, etc.); Cloud data platforms (AWS, Azure, etc.); Python for analytics and ML (pandas, numpy, scikit-learn); dashboarding and visualization tools (Power BI, Tableau, or equivalent)
Experience building predictive models and applying ML techniques to real-world operational data
Experience with GenAI tools or modern AI workflows is strongly preferred
Familiarity with LLM concepts (embeddings, RAG, prompting, semantic search) and demonstrated interest in GenAI experimentation
Company
Top Candidate Search Group
Established in 1987, we offer streamlined recruitment services to Medical, Pharmaceutical & Biotech companies, and have grown into supporting Cannabis, Industrial, E-Commerce, Technology, and Financial Service companies big and small.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase