Remote Data Jobs • Scala

We are looking for a Senior Data Science to join one of our USA Clients, a start-up working on an exciting climate change project. You will be part of a dynamic team building an AI-powered analytics and data platform to help reduce the carbon footprint of industrial manufacturing. Your work will focus on our back-end data pipeline and analytics stack, and you will be responsible for building a range of features and data services.

We’re seeking an exceptional Staff Data Engineer to help take our data platform to the next level where you’ll architect and build scalable data infrastructure, empower data-driven decision-making, and help shape the future of fraud prevention. You will collaborate with data scientists, engineers, and business stakeholders to ensure high-quality, actionable data insights to enable business outcomes.

Be a key part of our Analytics Engineering team within the Data Science organization, focused on the Safety domain. This role sits at the intersection of Data Science and Data Engineering, and the ideal candidate has skills, experience, and passion in both areas. Be the Analytics Engineering lead within the Safety organization and a key contributor to the success of Data Science data quality, performance, and automation initiatives. Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation.

As a Data Engineer, you will design and build scalable, high-performance data pipelines and infrastructure using modern Azure and big data technologies. You will collaborate with cross-functional teams to deliver clean, accessible, and trusted data that powers advanced analytics, AI/ML models, and key business decisions.

Serve as the “data investigator” for the Centers for Medicare & Medicaid Services (CMS) Federally Facilitated Marketplace (FFM or Marketplace). Pull, query, and analyze Marketplace data — including Agent/Broker data — to answer operational, compliance, and fraud-related questions, transforming findings into actionable insights for both technical and non-technical audiences. Detect patterns and anomalies, and collaborate closely with the Marketplace Agent Broker Analyst to investigate potential fraud, waste, and abuse (FWA).

We're seeking a Senior Data Engineer to create a high-impact data platform that drives decision-making and innovation across various departments, including engineering, legal, sales, and marketing, which involves designing real-time and batch data pipelines, maintaining data quality, ensuring privacy compliance, and enabling accessibility through user-friendly portals and dashboards.

As a Data Scientist, you will play a crucial role in shaping our data-driven strategies and contributing to the success of our Big Data initiatives at ADC. You will be responsible for designing, developing and deploying advanced data science solutions to uncover customer, product and operational insights from complex datasets. Candidate should be able to work on a geographically distributed team.

We are looking for a self-directed, analytical, and curious Senior Data Scientist with 5+ years of hands-on experience to join our team working on the core optimization and bidding logic of the Nexxen Demand-Side Platform (DSP). You will work on problems at the intersection of machine learning, large-scale data processing, and ad delivery performance. Your work will directly impact how we bid, win, and optimize impressions across real-time programmatic advertising exchanges.

We’re seeking a Staff Data Engineer to help lead our Data Engineering practice and take our data architecture into the future. You’ll be supporting our efforts to modernize our data stack and build our lakehouse to enable broad data access to BI, Machine Learning, and Engineering teams at Postscript. You’ll be creating an Apache Iceberg data lakehouse and prerequisite data pipelines to unlock global data access across Postscript.

As a Senior Data Engineer, you will play a pivotal role in architecting and scaling our data platforms, building robust and scalable data pipelines, and enabling data-driven decision-making across the company. You’ll work with massive, complex datasets from a variety of third-party and internal sources — driving data infrastructure and platform evolution to support both real-time and batch processing needs.