LMI
Senior Data Modeling & Lead Data Scientist - Clearance Required
LMI, Mc Lean, Virginia, us, 22107
Senior Data Modeling & Lead Data Scientist - Clearance Required
Join to apply for the
Senior Data Modeling & Lead Data Scientist - Clearance Required
role at
LMI Senior Data Modeling & Lead Data Scientist - Clearance Required
8 months ago Be among the first 25 applicants Join to apply for the
Senior Data Modeling & Lead Data Scientist - Clearance Required
role at
LMI Overview
LMI is seeking a seasoned Lead Data Scientist to spearhead 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. Overview
LMI is seeking a seasoned Lead Data Scientist to spearhead 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.
At LMI, were reimagining the path from insight to outcome at The New Speed of Possible. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.
Responsibilities
Direct a dynamic team of data scientists to swiftly develop and implement ML meta models that encapsulate numerous simulated scenarios across a vast inventory of weapon system components Apply Design of Experiments (DOE) and meta modeling techniques to accurately represent simulation outputs Adapt and enhance established, 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 Mentor and lead the team towards enhancing automation, efficiency, and accuracy of meta modeling and optimization solutions Collaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystem Collaborate closely with peer technical leads to identify priorities, risks and solutions 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
Masters degree in Data Science, Operations Research, or a related field, supplemented by relevant work experience Minimum of 10 years experience in a data science capacity Extensive experience applying Agile methodologies Demonstrates expert-level skills in Python and Spark, with a strong command of cloud-based platforms such as Databricks, enhancing collaborative development and large-scale data processing Deep knowledge and practical experience with delivering sophisticated data analysis and machine learning solutions using Python Well-versed in using MLflow and comparable tools Familiarity with Qlik, React or other data visualization platforms Robust analytical, conceptual, and problem-solving skills Active DoD Secret clearance required; Top Secret clearance preferred
Target salary range: $104,040 - $183,600
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.
Seniority level
Seniority level
Director Employment type
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Join to apply for the
Senior Data Modeling & Lead Data Scientist - Clearance Required
role at
LMI Senior Data Modeling & Lead Data Scientist - Clearance Required
8 months ago Be among the first 25 applicants Join to apply for the
Senior Data Modeling & Lead Data Scientist - Clearance Required
role at
LMI Overview
LMI is seeking a seasoned Lead Data Scientist to spearhead 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. Overview
LMI is seeking a seasoned Lead Data Scientist to spearhead 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.
At LMI, were reimagining the path from insight to outcome at The New Speed of Possible. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.
Responsibilities
Direct a dynamic team of data scientists to swiftly develop and implement ML meta models that encapsulate numerous simulated scenarios across a vast inventory of weapon system components Apply Design of Experiments (DOE) and meta modeling techniques to accurately represent simulation outputs Adapt and enhance established, 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 Mentor and lead the team towards enhancing automation, efficiency, and accuracy of meta modeling and optimization solutions Collaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystem Collaborate closely with peer technical leads to identify priorities, risks and solutions 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
Masters degree in Data Science, Operations Research, or a related field, supplemented by relevant work experience Minimum of 10 years experience in a data science capacity Extensive experience applying Agile methodologies Demonstrates expert-level skills in Python and Spark, with a strong command of cloud-based platforms such as Databricks, enhancing collaborative development and large-scale data processing Deep knowledge and practical experience with delivering sophisticated data analysis and machine learning solutions using Python Well-versed in using MLflow and comparable tools Familiarity with Qlik, React or other data visualization platforms Robust analytical, conceptual, and problem-solving skills Active DoD Secret clearance required; Top Secret clearance preferred
Target salary range: $104,040 - $183,600
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.
Seniority level
Seniority level
Director Employment type
Employment type
Full-time Job function
Job function
Research, Analyst, and Information Technology Industries
Business Consulting and Services Referrals increase your chances of interviewing at LMI by 2x Get notified about new Lead Scientist jobs in
Tysons Corner, VA . Washington DC-Baltimore Area $159,091.00-$175,000.00 6 days ago Senior Scientist Dosage Form Design and Development
Gaithersburg, MD $112,164.00-$168,246.00 2 weeks ago Washington, DC $150,000.00-$210,000.00 1 month ago Senior Environmental Engineer or Scientist (Site Remediation)
Chantilly, VA $125,000.00-$160,000.00 1 week ago Senior Environmental Engineer or Scientist (Site Remediation)
Arlington, VA $125,000.00-$160,000.00 1 week ago Falls Church, VA $90,000.00-$120,000.00 1 week ago Senior Environmental Engineer or Scientist (Site Remediation)
Washington, DC $125,000.00-$160,000.00 1 week ago Senior Environmental Engineer or Scientist (Site Remediation)
Director, Principal Patient Safety Scientist
Gaithersburg, MD $177,270.00-$265,905.00 2 weeks ago Senior Managing/Principal Food Scientist (Ph.D. or M.S.)
Washington, DC $174,000.00-$265,000.00 1 day ago Quantum Algorithms Scientist - Optimization
Senior Scientist I, Reference Standard Evaluation
Chevy Chase, MD $105,000.00-$215,000.00 2 weeks ago Senior Quantum Computational Materials Scientist, US
Washington, DC $105,000.00-$129,000.00 1 week ago Leesburg, VA $90,000.00-$120,000.00 3 weeks ago Food Safety Scientist, Senior Managing Scientist
Washington, DC $174,000.00-$213,000.00 4 days ago Germantown, MD $175,000.00-$190,000.00 3 weeks ago Scientist III, Reference Standard Evaluation
Quantum Algorithms Scientist - Classical Simulation Techniques
Washington, DC $120,000.00-$175,000.00 1 month ago Washington, DC $120,000.00-$175,000.00 1 month ago Falls Church, VA $95,000.00-$150,000.00 2 weeks ago College Park, MD $162,920.00-$213,304.00 1 month ago Senior Scientist I, Reference Standard Evaluation
Washington, DC $112,119.00-$129,205.00 3 weeks ago Sustainability Scientist, AWS Sustainability Science and Innovation
Arlington, VA $136,000.00-$212,800.00 6 days ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr