Job description

Lead Data Scientist The Role The Lead II – Data Science leads data science and machine learning workstreams at the client site, translating business problems into analytical and predictive solutions. 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: Atlanta, Georgia Compensation Range: $98,000-$147,000 Who We Are Since 1999, UST has worked side by side with the world’s best companies to make a powerful impact through transformation. Headquartered in the United States, UST is powered by technology, driven by AI, inspired by people, and led by our purpose, we partner with our clients from design to operation. Our AI-driven digital solutions, proprietary platforms, engineering, R&D, products, and innovation ecosystem turn core challenges into impactful, disruptive business outcomes. With deep industry knowledge and a future-ready mindset, we infuse expertise, innovation, and agility into our clients’ organizations—delivering measurable value and positive lasting change for them, their customers, and communities around the world. Together, with 30,000+ employees in 30+ countries, we build for boundless impact—touching billions of lives in the process. Visit us at . 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. Equal Employment Opportunity Statement UST is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and “fair chance” ordinances. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. #UST #CB #LI-VK5

Requirements

Must-haves

Lead Data Scientist
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.
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

Nice-to-haves

Preferred / Value-Add

Application prep

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Keywords to mirror

machine learningpythonsqlmlawsazuregcpairestapici/cd

Platform: ust
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)