Data Scientist (Senior)
At a glance
Senior Data Science role at SOSi. Chantilly · full-time · no salary stated · we estimate $148,247–$205,000 across the United States.
SOSi has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Advise on advanced statistical techniques, machine-learning algorithm choices and organization-wide data strategy
- Prepare and tune large data sets by cleaning, processing and managing them for performance
- Develop AI and machine-learning models and weights for object detection, data triage, search, inference and automated decisions
- Apply time-series forecasting, statistical modeling or geospatial analysis to customer problems
What you bring
- At least seven years of relevant professional experience
- An active TS/SCI clearance with Polygraph
- Working knowledge of PostgreSQL/SQL, Python or R, plus the other listed tools and languages
- Experience with large-scale data processing, machine learning and distributed computing such as Hadoop or Spark
Who this fits
This senior onsite role is based in Chantilly and supports a government customer. The position depends on the contract being awarded.
From the employer
Founded in 1989 and headquartered in Reston, Virginia, SOSi is a private defense and government solutions business specializing in advanced technology systems and mission support. Its capabilities include data science, software development, network engineering, intelligence, surveillance, and reconnaissance (ISR), and logistics.
*Position is contingent upon contract award*
SOSi is seeking a Data Scientist to support our government customer in Chantilly, VA.
Essential Job Duties
- serves as a key technical resource for advanced statistical methods, ML algorithm selection, and enterprise data strategy.
- Active in scope TS/SCI w/ Poly.
- Minimum 7+ years of relevant experience.
- Proficiency with major data science tools and languages such as PostgreSQL/SQL, Python, R, NiFi, and Git.
- Experience with cleaning, managing, optimizing performance with, and processing large volumes of data.
- Familiarity with industry best practices for software/hardware optimization when processing large data sets.
- Experience with machine learning, statistical modeling, time-series forecasting, and/or geospatial analytics.
- Experience with Hadoop, Spark, or other parallel storage/computing processes.
- Experience providing services to develop AI/ML models and weights to facilitate object detection, data triage, search/optimization, inference, and automated discovery and decision making.
Work Environment
- Normal office conditions.
Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.
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