Maxar Technologies

Data Scientist - Mid

Maxar Technologies$90K — $132K *
Aerospace & Defense
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Active U.S. Government Security Clearance at TS/SCI level with an in-scope CI poly.
  • 8 years of experience and an advanced degree in a relevant field.
  • Proficiency in Python, R, and SQL for data management and visualization.
  • Experience with statistical analysis and data mining algorithms.
  • Knowledge of artificial intelligence, advanced analytics, cloud architecture, and data storage.

Responsibilities

  • Collaborate with analysts to develop solutions for complex data challenges.
  • Research and implement innovative analytic methodologies using statistical techniques.
  • Assist in creating structured predictive intelligence approaches to enhance assessment accuracy.
  • Expand Natural Language Processing capabilities for better data visualization.
  • Develop strategies to improve analytical tradecraft and mitigate biases.
  • Support the automation of analytic methods to improve production scalability.
  • Create visualizations and dashboards to communicate data insights effectively.

Benefits

  • Robust 401(k) with company match.
  • Mental health resources provided.
  • Student loan repayment assistance.
  • Adoption reimbursement support.
  • Pet insurance available to employees.
Full Job Description


Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI level with an in-scope CI poly.

We're hiring multiple Data Scientists to join our team. In this position you will use your expertise to support the research, development, and implementation of advanced analytical methodologies and techniques that leverage artificial intelligence, machine learning, and data science approaches. Data Scientists will support a forward-leaning defense intelligence program focused on enhancing analytic rigor, efficiency, and predictive capability across a broad mission set. This includes support to Object-Based Intelligence (OBI) production, structured analytic method augmentation, and automation of analytic workflows. Data Scientists will collaborate with analysts, methodologists, and technologists to research, develop, and implement advanced methodologies that leverage artificial intelligence, machine learning, and statistical modeling to solve complex intelligence problems.

Responsibilities:
  • Work in tandem with analysts to figure out methods to solve their challenges with complex data sets, pattern identification, and visualizations.
  • Perform research and implement forward-looking analytic methodologies that leverage statistical techniques and pattern recognition.
  • Assist analysts in developing structured approaches to predictive intelligence that increase timeliness and accuracy of assessments.
  • Expand existing Natural Language Processing (NLP) to include new entities and improved visualization.
  • Research and implement approaches that enhance analytical tradecraft (support critical thinking, mitigate biases, increase analytic rigor).
  • Research and implement advanced analytic methodologies that enhance tradecraft, mitigate bias, and improve analytic efficiency.
  • Support the automation of structured analytic methods and workflows to increase repeatability and scalability of intelligence production.
  • Contribute to the development and integration of semantic technologies, including ontologies and knowledge graphs, to support OBI standards.
  • Design and build visualizations and dashboards that communicate complex data insights to technical and non-technical audiences.
  • Evaluate and optimize analytic performance using qualitative and quantitative metrics.

Minimum Qualifications:
  • Must be a US citizen and have an active TS/SCI with CI poly.
  • 8 years of experience and an advanced degree. Experience with Git and software development workflows.
  • Demonstrated experience with Python, R, and SQL, including programmatic access to web services, data management, and visualization.
  • Demonstrated experience with statistical analysis and data mining algorithms.
  • Possesses knowledge and experience with artificial intelligence (AI), advanced analytics, cloud architecture, and data storage.

Preferred Qualifications:
  • Polished oral and written communication skills sufficient to compose, tailor, and deliver original presentations and papers on abstract concepts.
  • Familiarity with graph databases or graph data structures.
  • Ability to lead multi-disciplinary teams to complete complex data science projects.
  • Experience with AWS or similar cloud provider.
  • Demonstrated experience in solving problems with structured and unstructured data.
  • Experienced in applying statistical and data visualization skills.
  • Strong problem-solving skills to manipulate data and draw insights from large data sets.
  • Proven ability to learn and master new software, technologies and techniques.
  • Familiarity with generative AI and large language models (LLMs) and their strengths and weaknesses when applied to intelligence requirements.
  • Experience in two or more of the following: Machine Learning, Natural Language Processing, Apache Spark, Hadoop, R, C++, SQL Database/Coding, or visualization tools such as Tableau.


Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role.
• The base pay for this position within the Washington, DC metropolitan area is: $90,000.00 - $120,000.00 - $132,000.00 annually.

For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

About Maxar Technologies

Maxar Technologies is a space technology company that provides solutions for Earth observation, space infrastructure, and geospatial intelligence. The company was formed in 2017 through the merger of DigitalGlobe and MDA. Maxar is headquartered in Westminster, Colorado and has operations in Canada, Europe, and Asia. The company has a diverse customer base that includes government agencies, commercial companies, and non-profit organizations.
Learn more about Maxar Technologies
Size
4,400 employees
Market Cap
$3.8 billion
Industry
Net Income
$303 million
Founded
1969
5 Year Trend
+2.6%
Revenue
$1.7 billion
NASDAQ

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