Remote Data Jobs • Statistics

We are looking for a data-driven problem solver with strong statistical expertise to join our growing data science team. In this role, you’ll play a pivotal part in driving product innovation through rigorous experimentation, measurement, and insight generation. You'll collaborate with engineers, designers, and product managers to guide strategic decisions that impact millions of users.

The data scientist will lead a cross-functional team to develop an AI-powered solution that breaks down barriers to healthcare. By leveraging cutting-edge technologies, including LLMs from Google and Anthropic, the data scientist will analyze patient information and automatically generate accurate responses to complex forms. The ideal candidate will combine strong technical expertise with excellent communication skills and a passion for continuous learning.

Initiate and drive applied science initiatives to completion with a focus on improving the acquisition, retention, and expansion of large professionals on the Thumbtack platform. Develop, deploy, and optimize machine learning models and algorithms for various supply shaping problems. Collaborate closely with engineering, product management, business development, and marketing teams to define problems, develop end-to-end solutions, and ensure successful implementation and monitoring of machine learning systems in production.

Be at the forefront of ensuring that Vosyn’s AI algorithms and datasets are free from bias and uphold principles of fairness and inclusivity. Collaborate closely with data scientists and engineers to identify, analyze, and mitigate potential biases, driving the development of ethical and equitable AI systems. This immersive internship offers hands-on experience, collaboration with senior management, and the opportunity to work in a fast-paced, high-growth environment.

Enable the scaling and advancement of Spotify Advertising by working with our self-service advertising platform, Spotify Ads Manager. Operate at the crossroads of R&D and the Ads business, providing key data and insights to a wide range of partners to help them understand the performance of Spotify Ads Manager and the advertiser experience with Spotify.

The Data Analyst Intern will be responsible for collecting and acquiring data for marketing needs. You'll help analyze and research data sets for our marketing initiatives, collaborate with our Technical Growth Analyst to ensure data is accurate, relevant, and up to date, and attend meetings to provide regular progress updates to the Fizz team.

Leads technical solutioning that includes research, design, and execution with a diverse team of data scientists, data engineers and other business partners to research, design, build and refine data sciences solutions. Presents insights, results, and recommendations. Participates in project management, model peer reviews, and training sessions on statistical modeling and AI/ML techniques.

Seeking a highly motivated and detail-oriented temporary Research Associate to support our work on Women in the Workplace, the largest study of its kind on women in corporate America. You’ll contribute to analyzing quantitative data, translating insights into compelling narratives, and supporting the development of research products that advance equity in the workplace and beyond.

Work on embedding latent representations of entities across our platform, specifically embedding entities to understand user behavior across multi-touch fragmented journeys in a continuous cold start setting. Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency.

As a Data Scientist, you will develop insights and new product features utilizing the vast amounts of data streaming from our extensive deployment of telematics and IoT devices in the field. Collaborating with engineering, product management, data analysts, and customer support teams, you will develop new algorithms, reports, dashboards, and product enhancements to improve the functionality, reliability, and user experience of Aperia’s products.