Remote Data Jobs • US

You’ll be responsible for laying the foundation for a best-in-class business analytics function. You’ll partner closely with our business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future. Activities include writing DBT SQL pipelines, using Python/R with Hex.tech to conduct statistical analysis, and working in Sigma Computing to find insights in our customer journey.

As a BI Analyst, you will develop datasets, assist with dataset development, and develop data visualizations and analyses. You will work closely with many divisions of the company. You will build interactive dashboards, reports and powerpoints that effectively communicate insights and motivate action. You will be responsible for the design and implementation of data warehouse tables or views to support analysis and reporting.

We are seeking a data-driven Product Analyst to join our team and help shape the future of our products. You’ll partner with Product Managers, Designers, and Engineers to uncover insights, track performance, and inform key product decisions. The analyst will analyze user behavior and product performance to identify trends, opportunities, and pain points.

A Place for Mom is looking for a Sr. Machine Learning Engineer to build efficient, data-driven machine learning applications. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. The candidate should also be able to develop and optimize our machine learning models and algorithms.

As a Data Scientist on the Business Analytics team, you will work with the leadership team on a daily basis to unpack business performance and insights to influence decision making and long-term strategy. You will work across reporting and infra, monthly business performance. You will define, measure, and track the key metrics that measure Thumbtack’s success. You will conduct in-depth analyses to answer key questions that are critical to Thumbtack’s strategy.

The Engineer, Data Integration ensures efforts are in alignment with the Enterprise Architecture team to support customer-focused objectives. The Engineer, Data Integration will help define and grow our data centric architecture and is responsible for implementing data ingestion, validation, and transformation pipelines. The Engineer, Data Integration will design and maintain batch and streaming integrations across a variety of data domains and platforms.

As an Expert, you’ll act as a subject‑matter “teacher” for the model by writing & solving problems in the domain of Mathematics, designing rubrics that define what a perfect answer looks like, grading model outputs, pinpointing gaps in logic, ethics, or clarity and coaching the model to self‑evaluate, reason step‑by‑step, and unlock creativity. You’ll collaborate with fellow expert trainers, quality analysts, and AI researchers—directly shaping how cutting‑edge AI understands and reasons in the field of Mathematics.

Join a product start-up and expand the Big Data Engineering team. As a Big Data Engineer, you will be responsible for designing, developing, and optimizing large-scale data processing pipelines, collaborating with data scientists and software engineers to ensure the seamless integration of data solutions. Work with the latest Big Data tools and cloud solutions, collaborating with clients across the UK, US, and Europe.

Take a lead role in a cross-functional team that is responsible for understanding and empowering the future of Mozilla. Serve as a data expert who can represent the function of data science broadly across Mozilla, while helping the team advance its practice. Drive the vision and execution of work, often to address ambiguous issues, that creates impact across organizations.

Looking for a Sr Manager of Data Analytics and Engineering to join the Data team. This person will manage a team of analytics engineers/data analysts, while working closely with product managers, and software engineers to support data product launches and data roadmaps. The ideal candidate will have data infrastructure and data architecture skills, a proven track record of leading and scaling data teams.