Top Data Science Jobs in Indianapolis, IN
The Staff Data Scientist at Dropbox is responsible for designing and building solutions to collect high-quality data, transform it into insights, and collaborate with various teams to ensure data quality and integrity. Key responsibilities include developing best practices for event tagging, integrating data pipelines, guiding teams on product instrumentation, and building automated solutions for data validation.
Senior Research Scientist role at Opendoor focusing on developing customer-facing data projects and research to optimize home rentals and sales. Responsibilities include developing data products, creating marketing materials, conducting analyses, and setting standards for analytical rigor. Requires 5+ years of industry experience and an advanced degree in a quantitative field.
Seeking a Data Scientist II to develop and maintain measurement and verification (M&V) and forecasting platform. Responsibilities include designing algorithms, performing ad-hoc analysis, improving scalability, and mentoring team members. Must have good programming skills, statistical intuition, and experience in energy industry.
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As a Decision Scientist at Cash App, you will apply data-driven techniques to identify new opportunities, participate in project definition and prioritization, and impact business strategy setting outcomes. Responsibilities include resolving problems with data, designing key metrics, and using statistical modeling and A/B experimentation to drive decision-making. You will implement, document, and monitor customer-facing decisions and risk controls. This role focuses on automation policies for cash card disputes and other transaction disputes.
As a Staff Data Scientist - Controls/Access, you will partner with the Cash App Health org to analyze large datasets, surface actionable insights, and drive meaningful change to expand access to Cash App products while protecting customers and their money. You will utilize SQL, scripting languages, statistical and mathematical modeling techniques, and A/B experiments to research and understand customer behavior. You will also collaborate with engineers to access new data sources and build visualizations and dashboards for your partners.
As a Lead Data Scientist, Business Analytics, you will be responsible for driving insights and action across the marketplace. You will define and monitor key metrics, conduct deep dive analysis, and support company revenue forecasting. You will collaborate with teams across the company and contribute to the data culture.
Plan and perform advanced analytics to identify care gaps and segment healthcare professionals and key opinion leaders using real-world data sources. Collaborate with team leaders for strategic planning and communication of insights. Develop and maintain datasets, conduct integrated care gap analyses, create HCP segments, and ensure data visualization for user accessibility.
Play a key role in gathering business requirements, analyzing healthcare data, designing, developing, and delivering analytic deliverables, and proposing solutions to business challenges using various analytical tools and data sources.
Join Jellyfish Research as a Data Scientist to facilitate data-informed decision-making, collaborate with teams, provide data products, build algorithms, and work on research data platforms. Enjoy working in a collaborative environment led by experienced entrepreneurs.
The Revenue Analyst at Wasabi will be responsible for managing quote creation, order processing, billing inquiries, and providing analytical support to the finance operations team. The role requires proficiency in Salesforce, NetSuite, Excel, and finance/accounting principles.
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