Jobs / Hum***

Senior Data Scientist

Hum*** · New York, NY, United States
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New York, NY, United States117,600-161,700 USD/yearlyOnsite
Remuneration
117,600-161,700 USD/yearly
Location
New York, NY, United States
Visa sponsorship
Sponsors visa

Job description

Become a part of our caring community The Enterprise AI organization at Hum*** is a pioneering force, advancing AI innovation enterprise-wide across Hum***’s Insurance, CenterWell, Growth, and Corporate business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting-edge AI technologies to improve care quality and experience of millions of consumers. We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI. Join us in shaping the future of healthcare through AI excellence. We are seeking a Senior Data Scientist who will contribute to Generative AI initiatives at Hum***, leveraging state-of-the-art LLMs to build applications. Our goal is to create safe AI solutions that will revolutionize and improve healthcare experience and outcomes for our customers. Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and business leaders as we work together to build impactful and beneficial AI systems. Key Responsibilities AI Innovation & Responsible Generative AI Design and develop AI solutions using Python, AI/ML and generative models like LLMs. Ensure responsible development aligned with Hum***’s ethical standards, focusing on transparency, safety, and real-world impact. Agentic AI System Design Build autonomous AI agents using frameworks (i.e. LangChain, LangGraph, AutoGen, CrewAI) to support reasoning and decision-making in healthcare. Enterprise Integration & Business Collaboration Embed AI into Hum***’s systems and workflows. Partner with business teams to understand challenges, co-create solutions, and communicate AI capabilities clearly—especially around generative AI. Design for scalability, reliability, and compliance. MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production. Execution of data science initiatives, including design, development, and implementation. Collaborate with data scientists, date engineers, software engineers, and stakeholders to deliver high impact AI use case solutions. Develop and maintain advanced AI/machine learning models and algorithms. Design and implement robust monitoring capabilities to maintain optimal performance and reliability. Experience in creating reports, projections, models, and presentations to business stakeholders. Use your skills to make an impact Required Qualifications Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience preferably with a focus on developing production-ready AI solutions Experience with Agentic AI System Design Experience collaborating with MLOps and DevOps teams Proficiency in SQL, Python, PySpark, and data analysis/data mining tools Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch Experience with high performance, large-scale ML systems Experience with language modeling with transformers Experience with large-scale ETL Preferred Qualifications Ph.D. in Computer Science, Data Science, Machine Learning, or a related field. Prior consulting experience Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location Options: Louisville, KY Boston, MA New York, NY Dallas, TX Tampa, FL Washington, DC (Arlington, VA) Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $117,600 - $161,700 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description of Benefits Hum***, Inc. and its affiliated subsidiaries (collectively, “Hum***”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Hum*** provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. About Us About Hum***: Hum*** Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Hum*** insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Hum***.com and at CenterWell.com. Equal Opportunity Employer It is the policy of Hum*** not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Hum*** to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.