Data Scientist II - Machine Learning

Battelle • Columbus, OH

5d • $86,400 - $123,100 • Hybrid

About The Position

Battelle is seeking a Data Scientist to support its Health Research and Analytics division, which serves government, academic, and private industry clients across public health, healthcare, national defense, environmental, transportation, and energy domains. This onsite/hybrid position is located in Columbus, Ohio. The role addresses data-analysis needs for complex and unusual problems, collaborating with junior staff on discrete tasks under the guidance of senior technical staff.

The position focuses on developing technical solutions, implementing and improving state-of-the-art data-analysis pipelines, communicating findings to project leaders and clients, and providing technical expertise for business development. The selected individual will design, develop, test, and implement machine-learning and data-analysis solutions for applied research projects, and may present findings to clients and at scientific forums. Occasional domestic travel to client sites and conferences may be required.

Battelle offers a flexible, compressed work schedule for most employees, with every other Friday off, and a hybrid work model that is generally 60% in-office and 40% remote, subject to team and position needs. The stated salary range is $86,400–$123,100 per year. The role requires U.S. citizenship and the ability to obtain and maintain a government security clearance and any client-required clearances.

Requirements

• Bachelor's degree and 2 years of relevant experience, or a Master's degree, or a PhD in Statistics, Machine Learning, Applied Mathematics, Data Science, Computer Science, Bioinformatics, or Physics; a data-analysis focus is preferred.
• Experience developing machine-learning, predictive-modeling, and AI workflows, including NLP and generative AI.
• Experience implementing, testing, and validating machine-learning or deep-learning models using modern analytical and programming tools.
• Demonstrated expertise manipulating and analyzing large datasets.
• Programming experience in Python and/or R.
• Strong algorithmic programming and data-visualization skills.
• Excellent oral and written communication skills.
• Experience with Git and collaborative software-development practices, including version control, code review, and documented development workflows.
• Strong analytical, multitasking, problem-solving, organizational, and planning skills.
• Attention to detail, adaptability, and ability to meet competing deadlines.
• Must be a U.S. citizen and able to obtain and maintain a government security clearance and any clearances required by the client.

Nice To Haves

• PhD or Master's degree.
• Experience with high-performance computing or cloud computing.
• Experience optimizing and debugging code to implement state-of-the-art machine-learning and deep-learning algorithms.
• Experience developing and integrating AI, machine-learning, and natural-language-processing components into software systems.
• Experience modeling complex biological systems and processes using statistical, machine-learning, or computational methods, including analysis of genomic, proteomic, clinical, public-health, or other scientific datasets.
• Experience working with or optimizing databases such as SQL, PostgreSQL, or NoSQL.
• Experience with Docker, Conda, Apptainer/Singularity, or comparable technologies for reproducible analytical and machine-learning environments.
• Experience evaluating and comparing analytical or machine-learning methods with curated reference, benchmark, or validation datasets, including documenting performance, limitations, runtime, and computational resource requirements.
• Experience with Battelle, a contract research organization, or internships, research assistantships, or applied consulting projects demonstrating proficiency in data analysis and applied analytical methods.

Responsibilities

• Design, implement, test, and improve methods for complex statistical, machine-learning, and deep-learning problems with minimal supervision and within time and budget constraints.
• Present research results to clients and participate in scientific conferences, peer-review panels, and publications.
• Review literature to identify methods for statistical or machine-learning/deep-learning problems, implement selected methods, and develop improved approaches.
• Communicate regularly with project leaders, client stakeholders, and interdisciplinary technical teams.
• Create technical reports and presentations using tables, graphs, and software tools to make results accessible to clients.
• Contribute technical material to proposals and assist with planning technical budgets and schedules.
• Build relationships with Battelle contacts and external clients across disciplines.
• Communicate and collaborate daily with co-located and geographically dispersed team members.
• Plan and carry out professional self-development activities.
• Travel occasionally within the United States to client sites and conferences.
• Perform other duties as assigned.

Benefits

• Flexible compressed work schedule, with every other Friday off for most employees.
• Hybrid work flexibility; the stated model is 60% in-office and 40% remote, subject to team and position needs.
• Paid time off.
• Medical, dental, and vision coverage, wellness incentives and benefits, and optional supplemental benefits.
• Partner coverage, gender-affirming care and health support, and family-formation support.
• 401(k) retirement savings plan; for most employees, Battelle contributes 5% whether or not the employee contributes and matches employee contributions on top of that.
• Tuition assistance for higher education.
• Opportunities for select funding to pursue scientific and technological discovery ideas.
• Collaborative work with world-class experts and opportunities to develop scientific leaders and contribute to communities.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level