Top Remote Data Management Jobs in Indianapolis, IN

Hims & Hers is seeking candidates for future Analytics and Data Science opportunities to drive data-driven decisions and innovations across the company. The roles involve analytics, machine learning engineering, and building data solutions to enhance user experience and support business growth.

The VP of Data and Analytics will build and lead data engineering teams, driving insights from a large dataset environment. Responsibilities include developing the data architecture, fostering a self-service data culture, and integrating AI capabilities to enhance business growth. This role requires collaboration across business units to ensure effective data usage and predictive insights for strategic decisions.

As a Human Data Manager, you will lead and mentor a team of AI tutors to ensure data integrity, conduct performance analyses, manage projects, analyze data quality, and collaborate with technical teams on innovative solutions in data curation.

The Manager of Analyst Relations & Public Relations at Actian will drive the analyst relations strategy, maintain relationships with industry analysts, coordinate AR and PR activities, manage scheduling, and ensure consistent messaging in external communications. This role also involves supporting PR campaigns and monitoring industry trends.

You will lead a team to innovate in natural language processing, big data, and artificial intelligence, creating technologies that change digital interaction. This role demands creativity, strong collaboration skills, and the ability to develop prototypes rapidly.

The Machine Learning Architect will design and execute machine learning projects from proof-of-concept to deployment, architecting solutions on cloud platforms such as AWS, GCP, and Azure. The role involves collaborating with business representatives, managing all project phases, and ensuring technical excellence in machine learning delivery while staying current with advancements in the field.

phData is looking for Sr Machine Learning Engineers to design and create environments for data scientists, work within customer systems, define deployment approaches, reveal the value of data, partner with data scientists, and create operational testing strategies. Apply for future opportunities at phData even if there's no current role available.