Role description
Data Science Lead
The Role
UST is searching for a Data Science Lead. The role owns end-to-end delivery of models and data science deliverables, provides technical guidance to a team of data scientists and analysts, and acts as the primary data science point of contact for client stakeholders
What You'll Do
• Lead problem-framing and requirement-gathering sessions with product owners and business stakeholders, and translate needs into data science solutions.
• Own the design, development, validation and deployment of machine learning models and advanced analytical solutions with minimal supervision.
• Drive feature engineering, statistical analysis and experimentation (A/B testing, hypothesis testing) across large, multi-source datasets.
• Guide and review the work of junior data scientists; ensure adherence to coding, model documentation and delivery standards.
• Define model evaluation metrics, monitoring frameworks and retraining strategies in partnership with business and engineering teams.
• Present model outcomes, insights and recommendations to senior client stakeholders, driving data-informed decisions.
• Manage delivery timelines, effort estimation and status reporting for the data science workstream.
• Ensure compliance with client data security, privacy, model governance and regulatory standards (including HIPAA/PHI handling where applicable).
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.
What You Need
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering or a related discipline.
• 6-9 years of experience in data science, machine learning or advanced analytics, including team/workstream leadership.
• Strong hands-on expertise in Python (and/or R) and SQL for model development and data manipulation.
• Proven experience with ML libraries and frameworks (scikit-learn, pandas, NumPy, TensorFlow/PyTorch) and end-to-end model deployment.
• Solid understanding of statistical modelling, supervised/unsupervised learning, model evaluation and data modelling concepts.
• Excellent written and verbal communication skills with the ability to explain complex models to senior client stakeholders directly.
• Must be authorized to work in the USA and available to work from the client location.
• Preferred / Value-Add Experience with cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI) and modern data stacks (Snowflake, Databricks).
• Exposure to MLOps practices - model deployment via Flask/REST API, CI/CD, model monitoring.
• Exposure to US healthcare / payer domain data and analytics.
• Relevant certification in data science, machine learning or cloud AI/ML.
Location & Compensation
Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.
Role Location: Remote - US
Compensation Range: $65,000-$98,000
Benefits
Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company's 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.
Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company's 401(k) Retirement Plan with employer matching.
Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company's 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.
Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).
All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.
