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Data Scientist

Salary undisclosed

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Job Summary/Company: We are seeking a highly skilled and experienced Data Scientist to join our team. The ideal candidate will possess a strong background in developing and implementing data science models using Python, R, and machine learning techniques. There are multiple openings at multiple clearance levels, up to and including TS SCI with a Poly
Responsibilities:
  • Fuse data from diverse sources to generate comprehensive insights and support decision-making.
  • Develop and implement data science models and algorithms using Python, R, SQL, and machine learning techniques.
  • Visualize data effectively using tools like Tableau or Power BI.
    Work with big data technologies (Hadoop, Spark) to process and analyze large datasets.

Qualifications/Background Profile:
  • Minimum of 5 years of experience in data science, analytics, or a related field.
  • Proven experience in data fusion and integration.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Strong skills in data visualization tools like Tableau, Power BI, or similar.
  • Expertise in machine learning algorithms and statistical modeling techniques.
  • Ability to work collaboratively in a multidisciplinary team.
  • Active Top Secret/SCI clearance or the ability to obtain one.

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This job is Hybrid Remote.

We offer several comprehensive benefits package including health and life insurance, paid and unpaid time off, and retirement and savings plans to qualifying employees.

Download the Sparks Group mobile app from or .

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Sparks Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, pregnancy, citizenship, family status, genetic information, disability, or protect veteran status.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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