Remote Data Jobs • Git

The Data Platform Engineering team is building the infrastructure to support a best-in-class decision engine. The role requires excellent communication to collaborate with Machine Learning Engineers, Data Scientists, and Analytics Engineers. The Data Platform Engineering team serves internal clients by maintaining infrastructure and tooling. The team advises backend and frontend teams to adopt the Event-Driven Data Mesh paradigm.

Looking for a passionate Data Scientist who enjoys solving real business problems with data and machine learning. You’ll take part in designing and delivering ML solutions end-to-end — from exploration and experimentation to deployment. If you like working with diverse data, collaborating with others, and seeing your models used in production, we’d love to meet you!

Will drive Greenlight’s data reporting and analysis work, building visualizations and dashboards that track key metrics and inform decision-making across the organization. This person will also develop reporting on clean-tech industry trends, including data on large-scale projects and media coverage, to help identify opportunities and risks. A successful candidate will be someone who likes working collaboratively and iteratively and is willing to take risks.

We are seeking a talented Junior Data Engineer to join our expanding engineering team with strong Python and SQL programming skills with a passion for transforming raw data into valuable insights for business use cases. This role focuses on client-facing responsibilities, collaborating closely with customer success, operations, and data scientists to deliver actionable data solutions.

As a Senior Data Engineer, lead the design and development of robust data pipelines, integrating and transforming data from diverse data sources such as APIs, relational databases, and files. Collaborate closely with business and analytics teams, ensuring high-quality deliverables that meet the strategic needs of our organization. Expertise will be pivotal in maintaining the quality, reliability, security and governance of the ingested data.

Lead the data science team to develop, validate, and deploy advanced machine learning models, overseeing the full model development lifecycle. Collaborate with cross-functional teams to integrate models and proactively identify and solve problems. Build and mentor a high-performing team of data scientists and machine learning engineers, strategically looking at long-term staffing needs and raising the bar on talent.

Define and standardize core business metrics and KPIs across the organization, ensuring consistency and eliminating duplicate definitions. Establish analytics capabilities and frameworks across the organization. Translate complex health data into actionable insights that drive clinical decisions and operational excellence. You will build data models using our modern stack and implementing self-service analytics.

We're seeking a scientifically-minded Senior Data Scientist based in Mexico. You'll apply expertise in machine learning, statistical analysis, and physics-based modeling to solve complex challenges in agricultural water management, focusing on modeling processes to deliver insights for farms in a remote collaborative setting.

Looking for a Data Scientist to join the Advanced Analytics team, working closely with business units to develop data-driven and Machine Learning solutions that create measurable impact across the company. Responsibilities include identifying business challenges, developing ML models, designing experiments, and communicating insights.

Capital Technology Group (CTG) is on a mission to modernize and innovate the way the federal government delivers software. We’re looking for a Data Engineer who loves building scalable, high-impact data systems that power analytics, AI, and business decisions. You’ll design and maintain robust pipelines on Databricks, orchestrate transformations using dbt, and help shape a modern data lakehouse architecture that’s clean, reliable, and fast.