Remote Data Jobs

595 results

Job listings

Virtual Data Analyst

Google Chrome πŸ–₯️🌐🍎

The ideal candidate will leverage their enthusiasm for big data and analytics to deliver insights to the business. They will perform recurring and ad hoc analysis for business users. Responsibilities include collecting, processing, and analyzing data, preparing reports and visualizations, and collaborating with cross-functional teams to understand data needs.

Quantitative Researcher

YipitData πŸ“ŠπŸ“ˆπŸ”
$250,000–$350,000
USD/year
US Unlimited PTO

We are hiring a Quantitative Researcher to join our growing systematic product team. This is a unique opportunity to build and scale quantitative products powered by our library of 70+ proprietary alternative datasets. As a Quantitative Researcher, you will develop and enhance systematic strategies, explore and evaluate datasets, design and backtest models, collaborate cross-functionally, and shape the future of the quant business line.

Senior Statistical Programmer

Parexel πŸ§ͺπŸ’ŠπŸ”¬

The Senior Statistical Programmer provides technical expertise for the conduct of clinical trials, acts as an internal subject matter expert providing technical support and expert advice, and works independently to support various programing activities related to the analysis and reporting of clinical study data.

Data Engineer, Consumer Data

DreamWorks Animation 🎬🌟🎨
$118,102–$150,000
USD/year

Design, build, and scale data pipelines across a variety of source systems and streams, distributed/elastic environments, and downstream applications and/or self-service solutions. Collaborate with business leaders, engineers, and product managers to understand data needs, extract, transform, and load data from a wide variety of data sources. Implement internal process improvements, automate manual processes, optimize data delivery, and re-design infrastructure.

AI/ML Data Pipeline Engineer

Two Six Technologies βš™οΈπŸš€πŸ›‘οΈ
$130,000–$175,000
USD/year

Use your data engineering skills to help policymakers, corporate leaders, and operators make sense of increasingly complex information spaces. As a data engineer you will work with product engineering teams, data scientists, DevOps, and architects, to apply best practices for data storage and retrieval in the design and implementation of new products, features, and capabilities. Most importantly you share our passion for applying technology to solve hard problems and finding innovative ways to derive insights from high-volume data.

Senior Data Analyst

Hagerty πŸš—πŸ’‘πŸ€

As a Senior Data Analyst, you’ll play a critical role in helping Hagerty leverage data to drive decisions that will shape the future of their online marketplace. You will work cross-functionally to identify insights, optimize performance, and deliver actionable data-driven recommendations to drive marketplace performance and building scalable data solutions supporting Hagerty’s long-term goals and growth.

Informatica MDM Developer

Apexon βœ¨πŸ’‘πŸ€

Seeking a Senior MDM Developer/Architect with 10+ years of experience to configure Informatica MDM SaaS, data models, match and merge rules, trust framework, and complex relationships. The role involves configuring Informatica MDM SaaS Business 360 supplier interface and API for Java team coding. Co-location in Austin is required during user acceptance and go-live.

Senior Machine Learning Scientist (Applied AI, 100% remote role)

Testlio πŸ§ͺπŸ¦πŸ“Š

The Senior Machine Learning Scientist will help design, build, and scale Testlio’s next generation of AI-powered data products. As part of the product team, you will apply advanced machine learning, data science, and statistical methods to transform the rich data from our software testing platform into actionable insights for our customers. Your work will directly influence how global engineering and product teams understand product quality, user experience, and business impact.

Swedish LLM Evaluator

CrowdGen πŸ‘¨β€πŸ’»πŸ€–πŸ’‘
$23–$23
USD/year

Contribute to Project Spearmint, a multilingual AI response evaluation project, by reviewing large language model (LLM) outputs in Swedish, focusing on Tone or Fluency. Native-level fluency in Swedish and strong English comprehension are required to assess model-generated replies based on specific quality dimensions and validate evaluation frameworks. Help establish baseline quality metrics for future model development.