Be the go-to expert, partnering with customers to understand their data and reporting requirements, and effectively translating them to our engineering team. Work hand in hand with the Product Team, Data Scientists, and Software Engineers, ensuring customer feedback drives product development. Tackle critical business and infrastructure issues through ad hoc analysis, insightful requests, and data extraction.
Evolve our foundational data infrastructure to primarily support our finance department. You will own the analytics infrastructure for these products end-to-end -- from data ingestion, to reporting, to activation -- ensuring high data quality and availability for our data sets. Work with the business, engineering, and analytics teams to lay the foundation for effective reporting and analysis needed to scale up these ventures.
We are seeking a skilled Senior Business Intelligence (BI) Engineer to join our team to design, develop, and optimize SSRS reports, Power BI dashboards, and SQL Server queries to support data-driven decision-making. The successful candidate must be flexible, self-motivated, well-organized, and detail-oriented, with experience in a fast-paced third-party logistics environment.
An iSpot Senior Research Data Scientist is a key contributor to the future growth of the company, pushing boundaries on what is measurable in the TV viewing and advertising space. The Research Data Science team builds prototypes for innovations in iSpot’s audience measures, lift analytics, and creative testing. After developing new methodologies and building prototypes, we work with product and engineering teams to scale our models.
We detect fraud by how people type – how cool is that! We have a large and unique data set with a unique set of challenges. It has tremendous potential. We are looking for an experienced data scientist to join our team and take our modeling and ML to the next level. In this remote role, you will report into the Chief Data Science Officer.
This role will turn data—from web, sales, subscriptions, customer behavior, and more—into insights that shape strategy across growth, operations, product, and beyond. The role involves data analysis and transformation, working hands-on with large, diverse datasets across e-commerce, web/behavioral tracking, subscription, marketing, and AI/ML systems. Deliver insights with confidence and clarity, bridging the gap between raw numbers and business strategy.
Looking for a Customer Analytics Data Scientist to prevent the creation of fraudulent accounts. You will report to the Sr. Director, Analytics and Innovation. This role is crucial in overseeing the trial process, analyzing data, and presenting results to clients to optimize performance and support expansion opportunities.
This Software Engineer III will be part of the team designing and developing the digital identity infrastructure and deliver well-thought-out software solutions as part of a fault-tolerant, scalable platform utilizing a variety of cutting-edge technologies. This is a hands-on role where you will demonstrate the skills, experience, and confidence to work with other senior engineers and product management team members to deliver solutions that will delight our customers.
Help build the foundation for accurate and trustworthy machine learning models. You’ll join a small, focused team responsible for producing the high-quality data that powers AI-based tools. Your primary project to start with is our transcript-reading system, a tool used to interpret high school transcripts automatically.
The Data Analyst will drive business decisions by providing quantitative and qualitative data analysis and reporting patterns, insights, and trends to decision-makers. This role will collect, aggregate, and analyze data from multiple internal and external sources to drive insights into business performance. The role will produce actionable reports that show key performance indicators, identify areas of improvement in current operations, and display root cause analysis of problems.