Note: The job is a remote job and is open to candidates in USA. UST is hiring a Data Science Lead to own end-to-end delivery of data science models and deliverables. The role guides a team, develops and deploys machine learning and analytical solutions, and serves as the primary data science contact for client stakeholders.
Responsibilities
- 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)
Skills
- 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
- 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
- Data Modeling, Databricks, Snowflake
Benefits
- Full-time, regular employees accrue a minimum of 10 days of paid vacation per year.
- Full-time, regular employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).
- Full-time, regular employees receive 10 paid holidays.
- Full-time, regular employees are eligible for paid bereavement leave and jury duty.
- Full-time, regular employees are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching.
- Full-time, regular employees and their dependents residing in the US are eligible for medical, dental, and vision insurance.
- Full-time, regular employees receive Company-paid Employee Only basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits.
- Full-time, regular employees may purchase additional voluntary short-term disability benefits.
- Full-time, regular employees may participate in a Health Savings Account (HSA) and 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).
- Part-time employees 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).
- Full-time temporary employees are eligible to participate in the Company’s 401(k) program with employer matching.
- Full-time temporary employees 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.
Company Overview