SAIC

Data Scientist

SAIC • $120K — $150K *
Mclean, VA 22101In-Person
Technical Services
8 - 10 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Bachelor's degree plus 14 years of experience; Master's degree plus 12 years; or PhD/JD plus 9 years of experience.
  • 5+ years of experience in ECL and HPCC.
  • Experience in technical targeting analytic support across various mission spaces.
  • Proficient in manipulating high-volume structured and unstructured data for analysis and reporting.
  • Skilled in Python, C, and SQL for large-scale data processing in conjunction with ECL.
  • Experienced in developing and validating methodologies for analytic requirements in Clustered Computing.
  • Solid background in data modeling.

Responsibilities

  • Lead data analysis projects and ensure quality of outputs.
  • Apply analytic judgement to inform decision-making processes.
  • Design and validate methodologies suited for clustered environments.
  • Handle high-volume data processing tasks efficiently.
  • Collaborate with cross-functional teams to meet analytic objectives.
  • Generate mission-relevant analytic reports and products.
  • Mentor junior data scientists on best practices and tools.

Benefits

  • Opportunities for career advancement within the organization.
  • Access to ongoing professional development and training.
  • Comprehensive healthcare plans offered to employees.
  • Generous paid time off and flexible work schedules available.
Full Job Description
Job Description

SAIC is seeking a Lead Data Scientist to join our Data Modeling Team. This position is located in Mclean, VA and requires a TS/SCI with polygraph.

Qualifications

  • Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience.
  • Demonstrated experience with ECL and HPCC (5 years minimum in ECL).
  • Demonstrated experience using analytic techniques and tools performing technical targeting analytic support for this Sponsor across a spectrum of mission spaces to include applying analytic judgement to data presented.
  • Demonstrated experience manipulating high-volume structured and unstructured data to perform analysis and generate sound mission relevant analytic reporting/products.
  • Demonstrated experience using computer languages (e.g., Python, C, SQL) to perform large scale parallel processing of the sponsors data. These languages complement ECL.
  • Demonstrated experience performing large scale parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments.
  • Demonstrated experience with data modeling.
  • TS/SCI with polygraph.


About SAIC

Science Applications International Corporation (SAIC) is a technology integrator in the technical, engineering, intelligence, and enterprise information technology markets. SAIC has approximately 26,000 employees and operates in more than 70 countries. The company was founded in 1969 and is headquartered in Reston, Virginia. SAIC provides services to the U.S. government, including the Department of Defense, the intelligence community, and civilian agencies. The company also serves commercial customers in the healthcare, energy, and financial services sectors.
Learn more about SAIC
Size
26,000 employees
Market Cap
$6 billion
Industry
Information Technology
Net Income
$206 million
Founded
1969
5 Year Trend
+10.7%
Revenue
$6.8 billion
NASDAQ
SAIC
* Ladders Estimates

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