Lead Data Scientist - Must have Top Secret or Veterans Affair Clearance

OneGlobe LLC
Washington, DC, United States
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Microsoft Azure Big Data Collaborative Software Databases Data Cleansing Data Files Python (Programming Language) Machine Learning NumPy Tensorflow Standard Sql
+11 more
SciPy Systems Integration Technical Data Management Systems Reinforcement Learning Pytorch Deep Learning Pandas Scikit Learn Statistics Packages Machine Learning Operations Data Pipelines

Job description

Join our dynamic team as a Lead Data Scientist, where your expertise will drive innovative solutions in high-stakes environments. This role demands a top-secret or Veterans Affairs (VA) clearance, ensuring access to sensitive data and projects that impact national security and public service. As a leader in data science, you will spearhead advanced analytics initiatives, harness cutting-edge technologies, and guide a team of skilled data professionals to deliver impactful insights. Your work will empower strategic decision-making, optimize operational efficiency, and advance our capabilities in artificial intelligence (AI), machine learning (ML), and big data analytics., * Leads data science efforts, working closely with clients, data, developers to understand mission and data.

  • Creates data pipelines and flows to clean and transform data for use in data models and applications.
  • Develops algorithms leveraging modern data science technologies including reinforcement learning systems, machine learning and more.
  • Deep expertise in causal inference, high-dimensional regression, time-series analysis, and forecasting.
  • Strong proficiency in Python or R (PyData stack: Pandas, NumPy, SciPy, Statsmodels, Scikit-learn).
  • Demonstrated ability to communicate statistical findings clearly to non-technical executive audiences.
  • Lead development of advanced AI/ML systems using techniques such as deep learning, representation learning, time-series modeling, survival analysis, and probabilistic modeling to solve complex healthcare problems or analyze fraud.
  • Ability to analyze and profile varied related and unrelated data sets.
  • Manage technology projects or lead technology solutioning.
  • Provides highly technical and specialized guidance and solutions to complex IT problems; performs elaborate analyses and studies.
  • Evaluates, recommends, and executes new technologies and updates existing infrastructure to ensure optimal performance and efficiency.
  • Develops IT strategies to ensure the systems meet existing and future requirements based on needs and regulations.
  • Works in a variety of environments and has excellent verbal and non-verbal communication skills.

Requirements

  • Must have an active Top Secret or a current Veterans Affair clearance.
  • BS degree with 10+ years of experience in machine learning, artificial intelligence, or applied data science with 7+ years of designing and deploying production machine learning systems.
  • 8+ years of experience in Python-based machine learning development using frameworks such as PyTorch, TensorFlow, or equivalent along with solid SQL skills.
  • 5+ years of experience deploying production ML systems including model serving, monitoring, ML lifecycle management, and collaboration with engineering teams.
  • Experience configuring and working in Azure environments to execute data science activities including data preparation, analysis, and model development, training, and deployment.
  • Experience building and integrating the at the application and database level.
  • At least 2 years of theoretical and practical background in statistical analysis, machine learning, predictive modeling, and/or optimization.
  • Excellent verbal and written communications skills along with the ability to present technical data and approaches to both technical and non-technical audiences.
  • Ability to work efficiently with a geographically distributed team using virtual collaboration tools

Benefits & conditions

Pulled from the full job description

  • Tuition reimbursement
  • 401(k)
  • Retirement plan
  • Dental insurance
  • Employee assistance program
  • Flexible schedule, * 401(k)
  • Dental insurance
  • Employee assistance program
  • Flexible schedule
  • Retirement plan
  • Tuition reimbursement

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