SAIC

Data Scientist

SAIC

Albuquerque, NM, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

At SAIC, we are looking for a Data Scientist who can help us make sense of complex data, uncover valuable insights, and create innovative solutions to complex problems. As a Data Scientist, you will join a team of talented engineers, analysts, and problem-solvers to carry out research, analyze and interpret data, and develop predictive models to uncover trends in our data. We are seeking an individual who is highly analytical, experienced in data analysis and communication, and has a passion for problem-solving. The ideal candidate should have a degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related field and strong experience in data analysis, visualization, and building predictive models. You should also have experience with various data science tools such as Python, R, SQL, and Tableau. The ability to think critically and creatively and a strong understanding of statistical principles are essential. Excellent communication and writing skills are also a must. If you have the skills and experience outlined above, we would love to hear from you!

Responsibilities:

  1. Collect, clean, and organize large datasets
  2. Analyze data to identify trends and patterns
  3. Generate insights from data using statistical analysis, predictive modeling, and machine learning
  4. Design and develop data visualization tools such as Tableau
  5. Develop reports and presentations to communicate findings and insights
  6. Collaborate with other departments to understand their data needs and identify new opportunities for data-driven insights
  7. Stay up-to-date with the latest developments in the field of data science
  8. Maintain and improve existing data analysis systems and pipelines
  9. Troubleshoot data-related issues and provide technical support to other team members
Where is this job?
This job is located at Albuquerque, NM, USA
Job Qualifications
  • R

  • Strong Analytical And Problem-Solving Skills

  • Proficiency In Programming Languages Such As Python

  • And Sql

  • Extensive Experience With Statistical Software Packages

  • Experience In Big Data Technologies Such As Hadoop

  • Spark And Nosql Databases

  • Expertise In Data Visualization And Presentation Techniques

  • Knowledge Of Machine Learning And Predictive Modeling Algorithms

  • Ability To Communicate Complex Data-Driven Insights To Non-Technical Stakeholders

  • Ability To Work Independently And Collaboratively With Cross-Functional Teams

Required Skills
  • Python

  • Business Intelligence

  • Data Analysis

  • Database Management

  • Big Data

  • Machine Learning

  • Data Visualization

  • Cloud Computing

  • Artificial Intelligence

  • Data Mining

  • Algorithm development

  • Data engineering

  • Modeling

  • Predictive analytics

  • Statistics

Soft Skills
  • Communication

  • Leadership

  • Negotiation

  • Problem Solving

  • Time management

  • Interpersonal Skills

  • creativity

  • Organizational skills

  • Teamwork

  • Adaptability

Compensation

According to JobzMall, the average salary range for a Data Scientist in Albuquerque, NM, USA is between $90,000 and $140,000. The median salary for a Data Scientist in Albuquerque is between $102,000 and $128,000.

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 BeforeMay 22nd, 2025
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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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