Senior Data Scientist

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.

• 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. Don't hesitate to apply, even if you only meet the minimum requirements listed. 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.