Data Scientist
Role details
Job location
Tech stack
Job description
EMI Advisors values candidates with a growth mindset: believing your talents can be developed through hard work, smart strategies, and input from others., 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:
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Developing and validating machine learning models and custom analytic algorithms that are applied to time series, image, video, text, geospatial, and structured data.
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Implementing AI-based software solutions for cloud and edge environments.
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Conducting mission-critical work in support of clients and partners.
Requirements
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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.
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Strong proficiency in machine learning and data science, with hands-on experience applying these skills to image and video data.
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Demonstrated ability to implement and analyze data structures and algorithms.
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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.
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Familiarity with software development lifecycle practices and tools, including version control (e.g., Git) and Agile methodologies.
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Eligibility and willingness to obtain and maintain a Secret (or above) U.S. security clearance.
Preferred Qualifications:
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Active Secret (or above) U.S. security clearance.
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Advanced degree (MA, PhD) in Data Science, Engineering, Statistics, Math, Economics, Computer Science, Cognitive Science, or a related discipline.
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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)
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Experience building AI agents and agentic workflows.
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Experience implementing ETL pipelines, data pipelines, and/or workflow automation
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Experience developing software in a compiled programming language (Go, Rust, C++,
Java, etc.).
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Experience building full-stack applications (back end, front end, REST).
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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.
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Experience working with or creating D3.js (d3) extensions for custom, interactive visualizations.
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Experience delivering technology solutions in secure government environments.
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Experience working with federal, state, and/or local government customers.
Benefits & conditions
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401(k)
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Health benefits
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Medical and dental insurance
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Tuition assistance
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Referral program
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Paid time off