Data Scientist
Job Status: Full time exempt
Location: Hybrid (60% Bethesda, MD; 40% remote)
About the Company:
EMI Advisors LLC (EMI Advisors) is a boutique technology and innovation advisory firm that harnesses disruptive solutions for the greater good. Our team works side-by-side with our client-partners to provide strategic, operational, and technical guidance across the health, human services, defense, and information technology sectors. We are mission-driven and energized by the opportunity to collaborate with smart, diverse, and passionate people every day. It is our privilege to design and build solutions that improve the health and well-being of individuals, communities, and societies.
EMI Advisors values candidates with a growth mindset: believing your talents can be developed through hard work, smart strategies, and input from others.
About the Role:
As a Data Scientist at EMI Advisors, you will be challenged and trusted from day one to make meaningful contributions to our projects, products, and company direction. You will collaborate with a multidisciplinary team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into impactful, real-world products.
This opportunity is the right fit if you bring deep technical expertise and a drive to continuously push the boundaries of what's possible. You are outcomes-oriented and passionate about applying data science and software engineering to solve complex, real-world problems. You understand that client focus, rigor, clarity of communication, and the ability to identify repeatable sources of value are the hallmarks of lasting success. You have a talent for sensing client needs, anticipating evolving demands, and translating that insight into actionable recommendations for EMI Advisors' product teams.
Your day-to-day will include:
Developing and validating machine learning models and custom analytic algorithms that are applied to time series, image, video, text, geospatial, and structured data.
Implementing AI-based software solutions for cloud and edge environments.
Conducting mission-critical work in support of clients and partners.
Required Qualifications:
BS or BA degree in Data Science, Engineering, Statistics, Math, Economics, Computer Science, Cognitive Science, or a related discipline and 2+ years of relevant experience.
Strong proficiency in machine learning and data science, with hands-on experience applying these skills to image and video data.
Demonstrated ability to implement and analyze data structures and algorithms.
Fluency in programming languages and libraries central to machine learning, with Python expertise being essential; working knowledge of frameworks such as TensorFlow, PyTorch, and/or scikit-learn is expected.
Familiarity with software development lifecycle practices and tools, including version control (e.g., Git) and Agile methodologies.
Eligibility and willingness to obtain and maintain a Secret (or above) U.S. security clearance.
Preferred Qualifications:
Active Secret (or above) U.S. security clearance.
Advanced degree (MA, PhD) in Data Science, Engineering, Statistics, Math, Economics, Computer Science, Cognitive Science, or a related discipline.
Experience deploying machine learning, data science, and their application to
production environments.
Exposure to DevOps and cloud infrastructure (Docker, Kubernetes, CI/CD, major cloud
providers).
Experience processing a variety of unstructured data types (e.g., imagery, full motion
video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals)
Experience building AI agents and agentic workflows.
Experience implementing ETL pipelines, data pipelines, and/or workflow automation
Experience developing software in a compiled programming language (Go, Rust, C++,
Java, etc.).
Experience building full-stack applications (back end, front end, REST).
Experience designing and deploying advanced data analytics and data visualization
decision-support solutions to improve enterprise performance.
Experience visualizing complex relationships using concepts from graph theory, graph
analytics, and driver relationship analysis.
Working knowledge of descriptive, predictive, and prescriptive analytics applied to
executive-level dashboards and reporting.
Experience with business intelligence and visualization platforms such as Qlik (including
Qlik Sense), Tableau, and Power BI.
Experience working with or creating D3.js (d3) extensions for custom, interactive visualizations.
Experience delivering technology solutions in secure government environments.
Experience working with federal, state, and/or local government customers.
Benefits and Perks:
Flexible work schedule
401(k)
Health benefits
Medical and dental insurance
Tuition assistance
Referral program
Paid time off
EMI Advisors is an equal opportunity employer. We prohibit discrimination and harassment of any kind. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. EMI Advisors makes hiring decisions based solely on qualifications, merit, and business needs at the time. For more information, please email hello@emiadvisors.net.
Please let us know if you require accommodations or have questions during the application or interview process by emailing us at hello@emiadvisors.net.
