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Master Degree In Computer Science Jobs in Kentucky

Cognizant

Senior Data Scientist

Louisville, KY · On-site

$120 - $150/hr

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related field. * 5+ years of experience in Data Science, Advanced Analytics, Machine ...

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Master Degree In Computer Science information

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How much do master degree in computer science jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for master degree in computer science in Kentucky is $50.39, according to ZipRecruiter salary data. Most workers in this role earn between $43.03 and $57.40 per hour, depending on experience, location, and employer.

What jobs can a master degree in computer science get you?

A master's degree in computer science qualifies individuals for roles such as software engineer, data scientist, systems analyst, cybersecurity analyst, and research scientist. These positions often require strong programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or cloud platforms.

Is a master degree in computer science worth doing?

A master's degree in computer science can enhance job prospects, increase earning potential, and provide advanced skills in areas like algorithms, programming, and data analysis. It is often valued for roles in research, development, and specialized technical positions, but practical experience and certifications also play a significant role in career advancement.
What cities in Kentucky are hiring for Master Degree In Computer Science jobs? Cities in Kentucky with the most Master Degree In Computer Science job openings:
Master Degree In Computer Science jobs near you

Senior Data Scientist

Cognizant

Louisville, KY • On-site

$120 - $150/hr

Other

This job post has expired today. Applications are no longer accepted.

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants

Job description

Data ScientistAbout the role

As a Data Scientist, you will make an impact by transforming complex healthcare and business data into actionable insights that drive strategic decision-making and operational improvements. You will be a valued member of the Data & Analytics team and work collaboratively with business stakeholders, data engineers, analysts, and technology teams to develop advanced analytics, predictive models, and forecasting solutions that deliver measurable business value.

In this role, you will:
  • Analyze large and complex datasets to identify trends, patterns, risks, and opportunities that support business objectives.
  • Develop predictive, forecasting, and statistical models to drive data-informed decision-making and business outcomes.
  • Perform exploratory data analysis, hypothesis testing, correlation analysis, and advanced statistical evaluations to solve business challenges.
  • Build and optimize analytical solutions and data pipelines using Python, SQL, and Databricks.
  • Partner with business and technical stakeholders to translate business requirements into scalable analytics solutions and effectively communicate findings.
Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring time in a Cognizant or client office in Dallas, TX. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered
  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related field.
  • 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or related analytical roles.
  • Strong hands-on experience with SQL and Python, including libraries such as Pandas, NumPy, and Scikit-learn.
  • Experience developing predictive models, forecasting solutions, and statistical analysis frameworks.
  • Hands-on experience with Databricks and modern analytics platforms.
  • Strong understanding of data visualization, data storytelling, and communicating analytical insights to stakeholders.
  • Experience working with large-scale datasets and delivering business-focused analytical solutions.
  • Excellent analytical, problem-solving, communication, and stakeholder management skills.
  • Healthcare industry experience is required.
These will help you stand out
  • Experience with cloud platforms such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
  • Experience deploying machine learning models into production environments.
  • Knowledge of healthcare analytics, population health, clinical data, claims data, or healthcare operations.
  • Familiarity with data engineering concepts, data governance, and data quality frameworks.
  • Experience working within Agile delivery environments.
  • Advanced degree in Data Science, Statistics, Machine Learning, or a related discipline.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

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