Remote Data Jobs • Python

Understand business requirements and identify opportunities for AI integration in generative chatbot solutions. Analyze large datasets to extract meaningful insights, patterns, and trends relevant to the development and improvement of generative AI chatbots. Continuously monitor and evaluate the performance of generative AI chatbots, making data-driven decisions to optimize and enhance their capabilities.

The Data Scientist II - FI Solutions plays a crucial role in delivering our solutions today and will play a more prominent role in our future. At Vericast, our data science projects have strong foundations on machine learning, data engineering, and modeling. The Data Scientist II - FI Solutions is passionate about using cutting edge technology and data science methods to solve unique and complex problems within the Financial Services industry.

This role is ideal for someone who enjoys working across high-volume telemetry sources, optimizing data workflows, and solving schema drift challenges in real-world distributed environments. You’ll be part of the Security Data Platform and ML Engineering team, helping to onboard and normalize security data that powers analytics, detection, and ML workflows across Adobe.

CapTech Data Architects match our clients’ business goals with available technologies when developing a strategy for a successful data delivery implementation. They improve our clients’ business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. They apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions.

Drive personalization, recommendation, and product marketplace improvement efforts. Should think like a Grailed user as well as a business owner, understanding how data impacts a fashion-forward user experience. This key role will operate at the intersection of Data, Product, Engineering, and Marketing, working cross functionally to develop compelling data products.

As a Data Engineer, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective industries. You will design, develop, and maintain data pipelines using dbt to transform and load data into a data warehouse.

Inform the future of Webflow with data by building a deep understanding of how our customers create for the web with our product. Partner directly with key product stakeholders to identify interesting business questions and provide the data and quantitative analysis to answer them, leading the development of KPIs and helping teams understand how to improve our user experience.

Lead and scale the data science function, building a high-impact team that drives data-driven decision-making, AI-powered optimization, and business intelligence across the company. Work cross-functionally with Product, Engineering, and Business teams to develop models that enhance pricing, personalization, fraud detection, and operational efficiency. Define and execute the vision and roadmap for Data Science at Engine.

You will supervise analytic employee-owners, act as an analytic program manager, working with the Project Management Office, and partner with other Telligen analytic and programmatic leadership. You will support quality improvement efforts at the local, state, and national levels. You retrieve, validate, analyze, report, and visualize data.

The Bioinformatics Engineer will join a team focused on delivering custom analyses to support Biopharma customers, responsible for the retrieval, processing, and formatting of genomic data based on provided specifications, and rigorous quality control of generated reports, ensuring timely delivery across multiple concurrent projects.