LMI
Overview
LMI is seeking a Data Scientist to support the development, testing, and deployment of machine learning (ML) models. These models are crucial for encapsulating extensive discrete event simulation data, aiding a critical supply chain risk program for the Department of Defense.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and civilian sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
Collaborate actively within a team of data scientists to rapidly design and deploy machine learning meta models, capturing complex scenarios across an extensive array of weapon system components
Apply Design of Experiments (DOE) and meta modeling techniques to accurately represent simulation outputs
Craft and deploy sophisticated supervised ML models employing tools such as Python, PySpark, and MLflow
Utilize meta models to facilitate optimization modeling, employing methods such as linear programming and heuristic approaches
Advance the automation, efficiency, and precision of meta modeling and optimization solutions by contributing innovative approaches and enhancements
Collaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystem
Operate proficiently within a Databricks environment, managing code development, testing, and deployment through notebooks
Manage data science initiatives, ensuring effective coordination and prioritization across multiple team engagements
Engage with cutting-edge data science techniques to address complex, large-scale data challenges
Qualifications
Bachelorsdegree in Data Science, Operations Research, or a related field, supplemented by relevant work experience
1-3 years’ experience in a data science capacity
Experience with supervised/unsupervised ML methodologies
SQL experience preferred, not required
Python experience required
Databricks experience preferred, not required
GitHub, CI/CD workflow experience desired
Proficiency in Agile development methodologies
Strong background in Python, Spark notebooks, and cloud-based environments like Databricks
Experience with Python libraries such as Scikit-learn
Demonstrated ability to use MLflow and similar tools
Robust analytical, conceptual, and problem-solving skills
Active DoD Secret clearance required; Top Secret clearance preferred
Target salary range:$82,040 - $141,600
Disclaimer The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
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LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and civilian sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
Collaborate actively within a team of data scientists to rapidly design and deploy machine learning meta models, capturing complex scenarios across an extensive array of weapon system components
Apply Design of Experiments (DOE) and meta modeling techniques to accurately represent simulation outputs
Craft and deploy sophisticated supervised ML models employing tools such as Python, PySpark, and MLflow
Utilize meta models to facilitate optimization modeling, employing methods such as linear programming and heuristic approaches
Advance the automation, efficiency, and precision of meta modeling and optimization solutions by contributing innovative approaches and enhancements
Collaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystem
Operate proficiently within a Databricks environment, managing code development, testing, and deployment through notebooks
Manage data science initiatives, ensuring effective coordination and prioritization across multiple team engagements
Engage with cutting-edge data science techniques to address complex, large-scale data challenges
Qualifications
Bachelorsdegree in Data Science, Operations Research, or a related field, supplemented by relevant work experience
1-3 years’ experience in a data science capacity
Experience with supervised/unsupervised ML methodologies
SQL experience preferred, not required
Python experience required
Databricks experience preferred, not required
GitHub, CI/CD workflow experience desired
Proficiency in Agile development methodologies
Strong background in Python, Spark notebooks, and cloud-based environments like Databricks
Experience with Python libraries such as Scikit-learn
Demonstrated ability to use MLflow and similar tools
Robust analytical, conceptual, and problem-solving skills
Active DoD Secret clearance required; Top Secret clearance preferred
Target salary range:$82,040 - $141,600
Disclaimer The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
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