Remote Data Jobs

This person will ultimately be responsible for leading efforts that transform the way phenotypic data is collected and utilized within the genetic improvement program. The successful candidate has the ability to work in a culturally diverse, fast-paced environment and can work collaboratively across functional teams. The candidate is a strong communicator and possesses strong analytical skills.

The Manager, Data Solutions will design and optimize scalable data warehouse and data lake architectures, integrating AI/ML capabilities and cloud-native technologies to support analytics and business intelligence. You will manage a dedicated Data Solutions team, mentor talent, and ensure alignment of data systems with business goals. The position requires strong technical expertise, leadership skills, and experience implementing data governance and security policies.

YipitData’s Corporate team collaborates directly with organizations like Summer Fridays, FanDuel, Uber, and Harbor Freight to help them make sense of the vast amounts of external data available by sourcing, cleaning, organizing, and contextualizing data to support clients in answering their key business questions. This is a remote-friendly opportunity where Insights Analysts will collaborate closely with Marketing, Sales, and Data Product teams to create and communicate data-driven insights.

In this role, you will partner with the Platform and Product Business Unit Product Management and Engineering organizations to deliver a transformational AI‑first implementation and adoption experience for ServiceNow’s customers. As an AI-Native AI Architect, Delivery Acceleration, you will work with the product, implementation experts, both internal and external, to design, productize, and pilot agentic & generative AI-first setup and implementation experiences.

Take a leading role in programming and delivering complex clinical study datasets and statistical outputs for global pharmaceutical trials. Oversee SDTM, ADaM, and TLF development, ensuring high-quality results while mentoring junior team members. Work closely with cross-functional teams, coordinating programming activities, managing resources, and contributing to submissions. Attention to detail and strong technical expertise are key.

As a Software Engineer on the BI Engineering team, you’ll help build and shape the backbone for analytics needs across the organization. You’ll work with Analysts, Data & ML Engineers, as well as other internal teams to define and shape self-service analytics and a data-driven organization. You’ll support the relationship between the BI/Analytics, External Reporting, Product, Data Platform and domain engineering teams as we build out robust data solutions for our AI and Core Products.

This role is ideal for a technically skilled leader passionate about building scalable, high-performance data platforms, leading a team to design and maintain pipelines for millions of daily events, ensuring data reliability and accessibility, owning the architecture and optimization of a cloud-based data warehouse, and influencing the development of a Customer Data Platform.

Focus on financial modelling and finance-based questions, teaching the Cohere model how to perform across a variety of different functions and logic. By labelling, ranking, auditing, and correcting text output, you will improve Large Language Model’s performance for iterations to come, thus having a lasting impact on Cohere’s tech.

This role requires prior, proven experience building highly scalable ETL pipelines using Databricks and AWS. Looking for someone who has successfully designed, implemented, and maintained large-scale data infrastructure in a production environment, you will report to the Data Science Manager and work closely with both our Data Science and Product teams.

Seeking a Data Solutions Architect with expertise in Master Data Management (MDM) and Service oriented Architecture to design and implement scalable, high-performance data solutions. Focus on enterprise data integration, governance, and architecture modernization, ensuring seamless data flow across multiple systems while adhering to industry best practices. Will work closely with data engineers, architect, and product/business stakeholders.