Data Manager managing data analytics consulting projects at PwC. Collaborating on data - driven solutions and overseeing implementation while maintaining client relationships.
About the role
- Data Scientist at Elevance Health developing predictive models for healthcare analytics and optimization. Collaborating to enhance member experiences with innovative solutions and AI techniques.
Responsibilities
- Design predictive modeling projects to address specific business problems determined by consultation with business partners
- Work with data-sets of varying degrees of size and complexity including both structured and unstructured data
- Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis
- Implements batch and real-time model scoring to drive actions
- Develops proprietary algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions
- Develop sophisticated visualization of analysis output for business users
- Provides high-level controllership/evaluation of all output produced to ensure established targets are met
- Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables
Requirements
- Requires a Bachelor’s degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines
- 3 or more years experience in predictive analytics
- Advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner or equivalent
- PhD and experience in the healthcare sector preferred
- Experience in Jupyter notebook server and notebooks and MLFlow is highly preferred
- General working knowledge of the following tech/platform stack is preferred (Spark , EzPresto , KubeFlow, Airflow , Feast , Ray and Superset)
- Experience with version control systems (Git/Bitbucket/Github, etc.) is preferred
- SQL experience preferred
Benefits
- comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Principal Data Science Engineer at Qodea leading development of AI - driven reasoning tools and recommendation systems. Collaborating to bridge advanced analytics with practical implementation in Buenos Aires.
Lead Data Scientist at Target developing predictive and prescriptive algorithms for supply chain optimization. Collaborating across teams to foster data - driven decision - making while ensuring continuous innovation.
Data Scientist working with data analytics to drive efficiency improvements in the energy sector. Collaborate with teams to build and deploy models for actionable insights.
Senior Data Scientist at Betclic developing data products and user experiences in an innovative gaming environment. Collaborating across teams to drive data - driven decisions and product improvements.
Senior Data Science Engineer developing and maintaining machine learning models for fintech company. Collaborating with cross - functional teams to drive product improvements and user insights.
Senior Data Scientist in a Legal AI company focusing on ML operations analytics, collaborating with teams for effective legal outcomes.
Senior Manager of Data Analytics leading high - impact analytics projects for business strategy at Conduent. Overseeing teams to develop data models and present insights to leadership.
Team Lead for Data Science at PAIR Finance focusing on machine learning product development. Leading a team to innovate in debt collection with AI - driven insights.
High - impact Data Scientist driving complex data projects leveraging AI tools at dLocal, influencing strategic decisions in payments sector.