As a Staff Data Scientist, you will be a core member of a team of data scientists advancing the discovery and development of new medicines. In this role, you will answer research questions using large real world healthcare databases to inform identification of biological molecules for effective drug development. You will work in partnership with colleagues to develop solutions to challenging computational problems in an innovative startup environment.
Mindoula is seeking a Healthcare Data Analyst to visualize and dig into trends in healthcare claims and operational datasets, improving member engagement and public health services. You will own problems from start to finish, working with business stakeholders to deliver timely insights and meeting external deadlines. This role requires a dependable source of insights.
Optimize our machine learning systems by evaluating existing ML processes and performing statistical analysis to resolve data set problems, enhancing the accuracy of our AI software's predictive automation capabilities. As a Machine Learning Engineer, your expertise translates into the enhanced performance of predictive models.
You’ll lead the development and maintenance of Marketing Mix Models (MMM), design and analyze incrementality tests, and optimize cross-channel advertising spend to maximize ROI and drive sustainable growth. Your work will play a critical role in ensuring that every marketing dollar is invested efficiently to attract and retain our most loyal customers.
Serve as the “data investigator” for the Centers for Medicare & Medicaid Services (CMS) Federally Facilitated Marketplace (FFM or Marketplace). Pull, query, and analyze Marketplace data — including Agent/Broker data — to answer operational, compliance, and fraud-related questions, transforming findings into actionable insights for both technical and non-technical audiences. Detect patterns and anomalies, and collaborate closely with the Marketplace Agent Broker Analyst to investigate potential fraud, waste, and abuse (FWA).
As a Data Scientist, you will play a crucial role in shaping our data-driven strategies and contributing to the success of our Big Data initiatives at ADC. You will be responsible for designing, developing and deploying advanced data science solutions to uncover customer, product and operational insights from complex datasets. Candidate should be able to work on a geographically distributed team.
Support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. Complete development efforts across data pipeline to store, manage, store, and provision to data consumers.
Responsible for identifying, collecting, analyzing and translating data into actionable insights to drive customer and market understanding across the organization. These efforts supports customer acquisition and retention efforts, identify market opportunities, and measure improvements.
This role will partner closely with multiple teams, including Product, Business, Machine Learning, and Data Engineering. The ideal candidate has previously led analytics teams in a high-growth, hands-on setting, using modern data tools to create valuable insights throughout the company.
Proactively explore data and identify opportunities to help accelerate product development or improve existing products in Trust and Safety domain. Translate analysis and trends into recommendations for business logic to improve identity and fraud conversion rates or fraud rates, owning end-to-end analytics workflow.