Data Scientist
About 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. 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.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
