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.
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
