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Senior Data Modeling & Lead Data Scientist - Clearance Required
Senior Data Modeling & Lead Data Scientist - Clearance RequiredLMI Consulting, LLC • Tysons, VA, United States
Senior Data Modeling & Lead Data Scientist - Clearance Required

Senior Data Modeling & Lead Data Scientist - Clearance Required

LMI Consulting, LLC • Tysons, VA, United States
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Senior Data Modeling & Lead Data Scientist - Clearance Required

Job Locations

US-VA-Tysons

Job ID

2024-12133

# of Openings

Category

Data / Analytics

Benefit Type

Salaried High Fringe / Full-Time

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.

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 energy 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

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.

    LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.org

    Colorado Residents : In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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