Job Description

Job Title: Lead Data Scientist (Healthcare / ML)
Location: Columbia, Maryland
Type: Contract To Hire
Compensation: $81 per hour
Contractor Work Model: Hybrid – onsite and remote

Responsibilities

• Lead proliferation of machine learning and artificial intelligence solutions throughout the enterprise to improve business outcomes.
• Identify and solve complex business problems using advanced numerical techniques, algorithms, and models in statistical modeling, machine learning, operations research, and data mining.
• Communicate analytical findings effectively to product teams, leadership, and customers, while educating about artificial intelligence, machine learning, and statistical models.
• Support data science initiatives by applying advanced analytical capabilities and leading data mining and extraction activities.
• Synthesize analytical insights for consumption by senior management and various teams.
• Mentor and develop junior data scientists to enhance their analytical skills and knowledge.
• Translate business priorities into data science deliverables, ensuring alignment with organizational goals.
• Implement best practices for ML/AI/DS, and develop scalable and robust data products and software solutions.
• Lead interactions between analytics teams, business units, and other departments to facilitate collaboration and project success.

• Bachelor's Degree in Statistics, Mathematics, Computer Science, or a related field; 8 years of relevant work experience. In lieu of a degree, an additional 4 years of relevant experience is required.
• Minimum of 8 years of experience working with provider data, including working with leadership on data issues, accuracy, and interactions with claims and claims platforms.
• Experience with Salesforce and FACETS is required.
• Healthcare industry experience for 2-4 years at an intermediate level.
• Expertise in operating systems and APIs embedded in applications, with 4-6 years of experience.
• Ability to communicate effectively, document objectives and procedures, and support data exploration and analysis tasks.
• Proficiency in model evaluation, tuning, performance, operationalization, and scalability of scientific techniques.
• Proficiency in statistical modeling applications and advanced SQL in multiple syntaxes.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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System One, and its subsidiaries including Joulé, ALTA IT Services, TeamPeople, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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