Data Science and Modeling Manager

Are you passionate about leveraging data to drive insights and improve program outcomes? Do you have strong management skills that motivate and lead teams?

Ripple Effect is seeking a full-time Data Science and Modeling Manager to take a leading role in our data-driven projects. This role involves overseeing the execution of data science techniques and evaluation methodologies to support our clients' missions at NIH and other science- and health-based agencies. The ideal candidate will have a solid foundation in data science and modeling experience in social science or related fields. You will thrive in a collaborative environment, where innovative thinking and problem-solving are encouraged.

If you are looking for a place where your skills can truly make an impact, Ripple Effect is the right fit for you! We are a diverse and inclusive workplace that values creativity and offers flexible work arrangements to support your work-life balance.

General Information

• Job Code: SHR-DM-04M
• Location: Ripple Effect Headquarters – Rockville, MD
• Employee Type: Exempt, Full-Time Regular
  (Ask our recruiters about flexible work arrangements)
• Telework: Fully Remote
• Clearance: Public Trust
• Manager: Yes
• Number of Openings: 1
• Salary Range: $96,534 to 116,000 per year (how we pay and promote)

Responsibilities

• Data Science Leadership: Lead and manage data science projects, ensuring technical soundness and relevance in support of government contracts. Provide technical advice on methodology approaches. Develop detailed project plans to track progress and manage changes in project scope, schedule, and costs. Supervise and mentor cross-disciplinary teams of data scientist specialists. Enhance team operations through the development and implementation of streamlined processes.
• Data Management: Extract and transform raw data from multiple sources into meaningful and actionable insights. Aggregate coded comment data to surface themes and insights. Ensure data quality and integrity by implementing robust data validation, cleaning processes, and best practices for data management.
• Data Analysis & Modeling: Design and implement advanced statistical models and machine learning algorithms to solve business problems and generate insights from large and complex data sets. Develop coding frameworks using NVivo, R, or other coding platforms.
• Training & Documentation: Develop training materials and co-lead training events. Develop and revise SoPs and other related process documentation.
• Reporting: Develop client reports using aggregated data. Track and process progress reports using an electronic database. Review documents for accuracy and collaborating with team members to resolve any discrepancies. Present findings and recommendations to key decision-makers in a clear and concise manner.
• Stay informed of industry trends and best practices in data science, deploying AI tools such as machine learning, natural language processing, and large language models to develop new solutions.
• Collaborate with stakeholders and clients to define data science needs and project objectives.
• Contribute to proposal writing and technical solutioning for new projects.
• Perform other job-related duties as assigned.

Requirements

Minimum Education and Experience

• Bachelor's degree in data science, statistics, or other relevant field
• 10 years relevant work experience, including at least 4 years of those years in a social or biomedical science related field

Basic Requirements

• Experience developing data-driven insights and visualizations that clearly convey complex concepts and conclusions.
• Strong understanding and proven experience with AI, statistical and machine learning techniques, and other emerging technologies to enhance analytical conclusions.
• Proven experience as a Senior Data Scientist, with a focus on data analysis, modeling, and visualization.
• Proficient in coding languages such as Python or R, data manipulation tools like SQL, and cloud platforms like Azure.
• Advanced skills with Microsoft Excel, PowerPoint, Word and Outlook.
• Excellent organizational skills, attention to detail, and effective communication skills.
• Ability and willingness to report to our Headquarters office (located in Rockville, MD) on an as-needed basis.

To be successful at Ripple Effect, you must be able to pay attention to details, clearly communicate, work independently, and have an eagerness to learn. Learn more about what it takes to become a Rippler here.

Skills That Set You Apart

• Masters or Doctoral degree in relevant field
• Supervisory experience
• Experience leading NIH projects
• Established networks in government contracting that can be leveraged
• Certifications and demonstrated coursework in data science techniques
• Project Management Professional (PMP) or other certifications

If you don’t have all of the skills above, don’t be discouraged—no resume paints a complete picture of a person. There’s a good chance you’re more wonderful than you think, so please apply!

About Ripple Effect

Ripple Effect is an award-winning women-owned small business providing professional consulting and exceptional talent for federal, private, and non-profit clients. We deliver multi-disciplinary solutions across communications & outreach, research & evaluation, policy & program management, digital transformation, and strategic staffing solutions with a focus on science, research, and healthcare domains.

Hiring Process | Life at Ripple |COVID Response | 

Benefits

Ripple Effect rewards our employees for their contributions to our mission in many ways, from competitive pay and exceptional benefits to a range of work/life programs based on your employment classification and personalized preferences.

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Ripple Effect is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, political affiliation, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation during the hiring process, please let us know by contacting our HR department at [email protected] or your recruiter. Eligibility for employment will be verified using E-verify.