SAIC

Data Scientist

SAIC

Oklahoma City, OK, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

SAIC is looking for an experienced, motivated, and creative Data Scientist who can drive insights and develop innovative solutions to challenging problems. In this role, you will be a key contributor to SAIC’s mission to transform the way organizations make decisions. The ideal candidate has a deep understanding of data, a passion for analytics, and strong problem-solving skills.You should have a Bachelor's degree in a related field, such as Computer Science, Statistics, Mathematics, Economics, or a related field, along with significant experience in data analysis, data visualization, and data mining. Additionally, you should have experience in machine learning models and algorithms, including supervised and unsupervised learning, as well as a strong understanding of fundamental statistics. Furthermore, you should have a working knowledge of programming languages like R, Python, and SQL, and a demonstrated ability to communicate complex data-driven insights to stakeholders.If you have a passion for data and a drive to develop innovative solutions, then this position could be the perfect fit for you.

Responsibilities:

  1. Design, develop, implement, and maintain data-driven solutions to challenging problems.
  2. Analyze large amounts of data and transform it into insights and information that can be used to make decisions.
  3. Develop and maintain machine learning models and algorithms.
  4. Utilize programming languages such as R, Python, and SQL to create data visualizations.
  5. Collaborate with stakeholders to ensure successful communication of data-driven insights.
  6. Maintain an understanding of the latest data science trends and technologies.
  7. Stay up to date on relevant industry developments and best practices.
  8. Monitor data accuracy and ensure data integrity.
  9. Identify potential areas of improvement and suggest solutions.
Where is this job?
This job is located at Oklahoma City, OK, USA
Job Qualifications
  • R

  • Ability To Work Independently And Collaboratively

  • Java

  • Strong Problem-Solving Skills

  • Etc)

  • Knowledge Of Statistical Methods And Algorithms (Eg. Linear Regression

  • K-Means Clustering

  • Familiarity With Data Visualization Techniques

  • Proficiency In At Least One Programming Language (Eg. Python

  • Strong Communication And Presentation Skills

  • Experience With Machine Learning Frameworks (Eg. Tensorflow

  • Scikit-Learn

  • Ability To Interpret And

Required Skills
  • Business Analysis

  • Sql

  • Python

  • Data Analysis

  • Big Data

  • Data Modeling

  • Machine Learning

  • Data Visualization

  • Cloud Computing

  • Data Mining

  • Data engineering

  • Data science

  • Predictive modeling

  • Statistics

  • AI

Soft Skills
  • Communication

  • Conflict Resolution

  • Leadership

  • Problem Solving

  • Time management

  • Interpersonal Skills

  • creativity

  • Organization

  • Teamwork

  • Adaptability

Compensation

According to JobzMall, the average salary range for a Data Scientist in Oklahoma City, OK, USA is $75,000 - $135,000. This range is based on the salaries of current job postings for the position in the Oklahoma City area.

Additional Information
SAIC is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedJune 15th, 2023
Apply BeforeAugust 19th, 2025
This job posting is from a verified source. 
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About SAIC

SAIC is a premier Fortune 500® technology integrator driving our nation's digital transformation. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in engineering, IT modernization, and mission solutions. Using our expertise and understanding of existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective, and efficient solutions that are critical to achieving our customers' missions.

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