Remote Data Jobs

638 results

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Data Scientist, Risk (Machine Learning and Algorithms)

Binance πŸͺ™πŸ”—πŸš€

As a Data Scientist, you’ll work with petabyte-scale datasets and cutting-edge machine learning infrastructure to build impactful data products that touch millions of users globally, collaborating with talented engineers, analysts, product managers, marketers, and business teams to develop features, models, algorithms, and end-to-end solutions that push the boundaries of what’s possible with data and AI in crypto.

As an Independent Contractor for Project Montello, you'll ensure street names are accurately represented in a leading navigation platform. This project requires native Bosnian speakers currently residing in Bosnia and Herzegovina, with strong language skills and local expertise to verify and enhance data accuracy. You'll have flexible working hours and the opportunity to improve local mapping accuracy.

Junior Delivery Engineer

MasterBorn πŸ’»πŸš€πŸŒŸ
$1,490–$2,483
USD/year

As a Delivery Engineer, you'll play a pivotal role in ensuring the seamless delivery and optimization of our product for our esteemed retail clientele. Dive into a world of problem-solving and collaboration, where your technical prowess and excellent communication skills will be key in driving the success of our service and application features as well as its quality and performance.

Junior Analyst

TechSilo πŸ’»πŸ’‘πŸš€

Ready to contribute your expertise to mission-critical projects supporting public health and regulatory science? TechSilo is looking for a Junior Analyst to support and enhance the quality and integrity of drug regulatory data by reviewing, extracting, and standardizing information. This opportunity supports the Data Analysis Search Host (DASH) database developed by the Center for Drug Evaluation and Research at the Food and Drug Administration (FDA).

Senior Data Scientist

Okendo πŸ›οΈπŸ“£πŸ“ˆ
Australia 12w maternity 12w paternity

As a Senior Data Scientist, you’ll play a pivotal role in shaping how data is used to drive growth, improve product performance, and deliver intelligent features. You’ll collaborate with cross-functional teams to design models, uncover insights, and scale analytics across the business. This role suits someone who thrives in fast-paced environments and loves solving complex problems.

Data Platform Engineer

Keyloop πŸ”—πŸ”‘πŸš—

Seeking a skilled Data Engineer to develop and maintain the Data Lake and pipelines, improve processes, and ensure best practices. Responsibilities include supporting the BI team, maintaining data strategy, reporting issues, and driving technical development. The engineer will work independently and support colleagues with onboarding and security.

Senior Data Scientist, Advanced Analytics

TRM Labs πŸ›‘πŸ› πŸ›‹
$160,000–$175,000
USD/year

As a Senior Data Scientist, you will have end-to-end ownership of critical analytics products for TRM’s customers. Your goal will be to uncover valuable and defensible information that can be used to detect, prevent, and mitigate cryptocurrency fraud and financial crime. Lead the implementation of new advanced analytics products that allow our customers to explore and uncover hidden insights through complex blockchain data.

Data Scientist

DevSavant βœ¨πŸ“ŠπŸ’‘

We're looking for a talented Data Scientist who is great at both analyzing data and writing strong Python code. You'll play a key role in finding important insights in large datasets, creating engaging data charts, and also helping to build and improve the core Python tools and libraries. The data science team uses it every day. You'll work closely with experienced data scientists, helping them understand complex data, share findings clearly, and make the analytical codebase even better.

Data Engineer

JustMarkets πŸ“ŠπŸ“ˆπŸ’±
Europe 4w PTO

Responsible for building scalable data pipelines, ensuring data integrity, and integrating third-party data sources. Enable efficient data flow and support analytical capabilities across the organization. Contribute to the development of our data architecture, implement best engineering practices, and collaborate closely with cross-functional teams to turn raw data into actionable insights.