Senior Data Scientist

Gravity IT Resources; United States; Remote; USD 124,000 - 220,000; Full time

Job summary

Gravity IT Resources seeks a Senior Data Scientist for a remote contract-to-hire engagement with a federal healthcare client. You will apply machine learning, cloud-based analytics, and healthcare data modeling to improve performance measurement and decision-making.

Role requires the ability to obtain a federal background investigation and completion of onboarding privacy/security training. This remote position necessitates meeting remote access requirements and strong collaboration with the

Qualifications

• Master's degree in statistics, mathematics, computer science, or related field.
• 8+ years of relevant professional experience.
• Experience applying machine learning techniques and in cloud-based analytic environments.
• Experience with synthetic data models and healthcare cohorts.
• Ability to obtain and maintain a federal background investigation (Low Risk, Tier 1).
• No visa sponsorship available.

Responsibilities

• Apply machine learning techniques, including supervised, unsupervised, and reinforcement learning.
• Develop and analyze data models and cohorts specific to healthcare.
• Build and work with synthetic data models and cohorts.
• Perform analytic work in cloud-based environments following security, privacy, and data governance standards.
• Document methods, data lineage, parameters, and keep code under version control for reproducibility.
• Support projects related to artificial intelligence and machine learning and adapt to changing client priorities.
• Represent the company with the client.

Skills

ML techniques

Cloud analytics

Synthetic data

Healthcare data

Education

Master's degree in Statistics/Math/CS

Job description

Job Title: Senior Data Scientist

Location Requirements: Remote

Job Type: Contract to Hire

Role Overview:
You will support a federal healthcare client’s data analytics program by applying machine learning, cloud-based analytics, and healthcare data modeling to improve performance measurement, evaluation, and decision-making. You may also work on projects related to artificial intelligence and machine learning. The position requires the ability to obtain and maintain a federal background investigation and completion of client onboarding, including privacy and security training. This is a remote role that necessitates a computer meeting remote access requirements.

Responsibilities

• Apply machine learning techniques, including supervised, unsupervised, and reinforcement learning, for performance measurement, evaluation, and decision-making.
• Develop and analyze data models and cohorts specific to healthcare.
• Build and work with synthetic data models and cohorts.
• Perform analytic work in cloud-based environments following security, privacy, and data governance standards.
• Document methods, data lineage, parameters, and keep code under version control for reproducibility.
• Support projects related to artificial intelligence and machine learning and adapt to changing client priorities.
• Represent the company with the client.

Required Qualifications

• Master’s degree in statistics, mathematics, computer science, or a related field
• 8+ years of relevant professional experience
• Experience applying machine learning techniques, including supervised, unsupervised, and reinforcement learning
• Experience working in cloud-based analytic environments
• Experience working with synthetic data models and cohorts
• Experience developing and analyzing data models and cohorts specific to the healthcare field
• Able to obtain and maintain a federal background investigation (Low Risk, Tier 1)
• No visa sponsorship available

Equal Employment Opportunity Statement
Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.