SAIC

Data Scientist

SAIC

Orlando, FL, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

SAIC is looking for a Data Scientist to join our team and make an immediate impact. The ideal candidate is an analytical problem-solver who is passionate about using data to drive business insights. You will work closely with stakeholders to identify, develop, and implement data-driven solutions to our most pressing business challenges.Our ideal candidate is a data enthusiast who is highly-skilled in data analysis and problem-solving. You will need to have a combination of technical knowledge, analytical skills, and business acumen. Relevant qualifications include: a Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related field; experience with a wide range of data analysis techniques; and a working knowledge of SQL and other data manipulation languages. Demonstrated experience in data mining and predictive analytics, as well as familiarity with machine learning paradigms, is a plus. You should also have excellent communication and interpersonal skills, as you will be working with stakeholders from all areas of the business.

Responsibilities:

  1. Analyze data to identify patterns and trends that can be used to gain business insights.
  2. Develop and implement data-driven solutions to business challenges.
  3. Work closely with stakeholders to understand their business needs and provide data-driven solutions.
  4. Use a wide range of data analysis techniques to interpret data and draw meaningful conclusions.
  5. Utilize SQL and other data manipulation languages to manipulate and analyze data.
  6. Create data models and predictive analytics to inform decision-making.
  7. Keep up-to-date with the latest trends and technologies in the data science field.
  8. Communicate and collaborate effectively with stakeholders from all areas of the business.
Where is this job?
This job is located at Orlando, FL, USA
Job Qualifications
  • Excellent Problem-Solving Skills

  • Proficiency In Using Statistical Analysis And Software Packages

  • Knowledge Of Data Mining Techniques

  • Strong Sql Skills

  • Experienced In Creating And Interpreting Data Visualizations

  • Understanding Of Machine Learning Algorithms

  • Background In Data Warehousing

  • Ability To Communicate Complex Data Analysis In An Understandable Manner

Required Skills
  • Business Intelligence

  • Data Analysis

  • Database Management

  • Machine Learning

  • Deep Learning

  • Data Visualization

  • Coding

  • Cloud Computing

  • Artificial Intelligence

  • Natural language processing

  • Algorithm development

  • Data engineering

  • Statistics

  • Predictive modelling

  • Experiment Design

Soft Skills
  • Communication

  • Conflict Resolution

  • Leadership

  • Time management

  • Interpersonal Skills

  • Critical thinking

  • Teamwork

  • Adaptability

  • Problem-Solving

  • Emotional Intelligence.

Compensation

According to JobzMall, the average salary range for a Data Scientist in Orlando, FL, USA is $64,821 - $106,622. This range depends on experience, education, certifications, and other factors.

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 BeforeJune 9th, 2026
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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