SAIC

Data Scientist Associate

SAIC • $80K — $95K *
Upper Marlboro, MD 20774In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in mathematics, statistics, data science, or a related quantitative field
  • 0-2 years of relevant professional experience
  • Must be able to obtain and maintain a public trust (US Citizenship required)
  • Proficient in programming for statistical analyses, machine learning, or data mining (R, Python, etc.)
  • Skilled in database technologies (SQL, NoSQL)
  • Familiar with source control (e.g., Git)
  • Knowledgeable in common data formats (JSON, Parquet, XML)

Responsibilities

  • Collaborate with senior data scientists on data management and analysis
  • Develop and implement ETL pipelines for analytic datasets
  • Conduct exploratory data analyses on datasets
  • Apply AI models for evaluation, data enrichment, prediction, or generation
  • Assist in designing and testing statistically sound experiments
  • Execute comprehensive statistical analyses to produce quantitative results
  • Ensure high attention to detail and quality standards in outcomes
  • Support ongoing data collection activities

Benefits

  • Flexible work-life balance
  • Opportunities for continuous learning and exploration
  • Collaborative environment with a focus on integrating AI technologies
  • Dynamic team setting at the Identity and Data Sciences Laboratory (IDSL)
Full Job Description
Job Description

SAIC is seeking a Data Scientist Associate with a strong background in statistical data analysis using modern analytic tools and frameworks. Experience with techniques and platforms to create, manage, manipulate, and draw insight from large datasets is desired. The candidate will join the dynamic team at the Identity and Data Sciences Laboratory (IDSL). The IDSL is tasked with evaluating how new AI technologies can be best integrated into operational use-cases across the US government. We are investigating how AI systems can improve process efficiency and effectiveness, be optimally teamed with human operators, and detect fraud. Our engineers enjoy a great work-life balance and work in an environment that promotes learning and exploration.

Responsibilities:
  • Work with senior data scientists to perform data management and analysis tasks.
  • Develop and apply extract, transform, load (ETL) data pipelines to create analytic datasets.
  • Perform exploratory data analyses (EDA) on analytic datasets.
  • Apply AI models to datasets for AI evaluation, data enrichment, prediction, or generation.
  • Work with senior scientists and engineers to develop statistically sound designs of experiment, defining and testing hypotheses.
  • Work with senior scientists and engineers to plan and execute comprehensive statistical analyses to generate quantitative results.
  • Maintain attention to detail and quality standards to ensure results are accurate and withstand technical scrutiny.
  • Contribute to ongoing data collection activities.


Qualifications

Required:
  • A bachelor's degree in mathematics, statistics, data science, or a comparable quantitative science,
  • 0-2 years applicable professional experience
  • Ability to obtain and maintain a public trust requiring US Citizenship.
  • Proficiency in programming statistical analyses, machine learning, and/or data mining (R, Python, or similar).
  • Proficiency in database technologies (SQL, NoSQL).
  • Familiarity with source control (e.g., Git).
  • Familiarity with common data formats (JSON, Parquet, XML, etc.).

Desired:
  • Experience with techniques and platforms to manage, manipulate, and draw insight from large datasets (Spark, Hadoop, Databricks, etc.).
  • Understanding of scaling and performance of distributed/cloud systems (AWS).
  • Understanding of machine vision, generative AI, machine learning, automation, and scripting.
  • Strong communication skills, with the ability to present findings and recommendations to both technical and non-technical audiences.


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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