Senior Data Scientist

7 days ago

Arlington, Virginia, United States Pinnacle Government Solutions Full time $120,000 - $180,000 per year

Pinnacle Government Solutions is a minority-owned small business that provides Software and Cloud Engineering Solutions for our Department of Defense and Federal Civilian agencies. We bring SME-level expertise and over two decades of industry knowledge and experience. We believe in getting it right for our customers and our country.

We are looking for a Data Scientist within our Intel sector advancing the national security mission through cutting edge technology. You must have a passion for keeping pace with rapidly evolving technology advancements and leveraging your knowledge on a highly collaborative team to deliver state-of-the-art capabilities.

The Data Scientist analyzes data to extract insights and develop solutions for business challenges, often involving machine learning and statistical modeling. They work with large datasets, build predictive models, and communicate findings to stakeholders. Their work bridges the gap between technical analysis and business strategy.

Key Responsibilities

  • Data Collection and Preparation:
    Gathering data from various sources, cleaning and transforming it for analysis.
  • Exploratory Data Analysis:
    Identifying trends, patterns, and insights within datasets.
  • Model Building and Evaluation:
    Developing and implementing machine learning models, algorithms, and statistical models to address specific business needs.
  • Communication and Visualization:
    Presenting findings and recommendations to stakeholders through clear and compelling visualizations and reports.
  • Collaboration:
    Working with cross-functional teams, including product managers, engineers, and business analysts.

Skills & Qualifications

  • Education and/or Experience:
    Bachelor's degree and/or 10+ years of experience
  • Security Clearance:
    Active TS/SCI with Polygraph
  • Technical Skills:
    Proficiency in programming languages like Python and R, experience with data manipulation and analysis tools, machine learning frameworks, and statistical modeling techniques.
  • Analytical Skills:
    Strong ability to interpret data, identify trends, and draw meaningful conclusions.
  • Problem-Solving Skills:
    Ability to translate business problems into analytical tasks and develop data-driven solutions.
  • Communication Skills:
    Ability to effectively communicate technical findings to both technical and non-technical audiences.
  • Business Acumen:
    Understanding of business objectives and the ability to align data analysis with strategic goals.

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