Build out our foundational processes for generating and surfacing model performance metrics, including crafting + calculating the metrics and building python rails. Act as point of contact for Strategic Financial Partners and manage their model governance needs. Regularly conduct performance and exploratory analyses to establish the quality of model outcomes.
As a Senior Data Scientist on Lime’s Rider DSA team, you will play a critical role in helping us understand our riders and uncover the drivers of retention. You’ll focus on experimentation, product analytics, and data deep-dives that surface actionable insights for product and business teams. Partnering with Product, Engineering, and Operations, you’ll help shape strategy on initiatives like early-funnel adoption, second-month retention, and loyalty programs.
You will work with Engineers, Data Scientists, Managers, and others to understand their needs, and actively work to build datasets to tackle these challenges. Collaboratively refine and evangelize a comprehensive framework for integrating data-thinking into the software development lifecycle for product teams. Design, architect, and maintain core marketing datasets, data marts, and feature stores that support a blend of mature products and features. Drive data quality and best practices across different business areas.
The Senior Data Analyst will help shape the future of employer services, with a focus on HR compliance and outsourcing. You will help develop and implement data-driven solutions that ensure strategic decision-making and drive business growth. We are looking for an experienced and motivated Senior Data Analyst with technical expertise, business insight, and a proactive mindset to solving problems. The Senior Data Analyst will manage various projects, work cross-functionally, and drive results in a dynamic environment.
Experian is looking for an experienced Senior AI Data Scientist to join our Analytic Innovations group to focus on developing agentic AI solutions and advanced marketing analytics models that move strategic decision-making across the consumer credit lifecycle. This individual will have deep technical expertise in coding intelligent agents, experience in marketing analytics for consumer lending products with modeling knowledge plus experience applying AI to real-world challenges in financial services.
Lead the Data Science and Analytics - Supply team in enhancing vehicle positioning, demand forecasting, and fleet health. This role will drive data science initiatives that optimize vehicle supply, rider experience, and operational efficiency through machine learning, optimization, and experimentation. You will work cross-functionally with Product, Engineering, and Operations, ensuring Lime's fleet is positioned where and when riders need it most.
Spearhead the development of an advanced analytics program, collaborating closely with key stakeholders to drive the organization's continuous growth. As a crucial member of our dynamic data department, you will tackle the challenges presented by our unique data pipeline streaming from thousands of MySQL databases to our data warehouse, focusing on scalability, reliability, and performance optimization.
We are seeking a Senior Big Data Engineer with deep expertise in distributed systems, batch data processing, and large-scale data pipelines who has hands-on experience with Oozie, Pig, the Apache Hadoop ecosystem, and programming proficiency in Java (preferred) or Python. This role requires a deep understanding of data structures and algorithms, along with a proven track record of writing production-grade code and building robust data workflows.
Your data-driven mindset and ability to use large data sets enables NinjaTrader to serve customers better, identify new opportunities, and improve processes. As an accomplished data engineer reporting to the Data & Analytics Director, this is a terrific opportunity to join a fast-growing, revolutionary company and be part of our growing Data & Analytics team.
We're looking for a Senior Data Scientist to be the strategic anchor for a functional team. You won't just be building models; you'll be a key influencer who translates ambiguous business challenges into powerful, end-to-end ML solutions. Your mission is to take ownership of the data science lifecycle, delivering automated and augmented decisions that create a quantifiable impact on the business.