Remote Data Jobs · Python

In this role, you’ll design and implement data-intensive solutions that power a truly data-driven organization. As a Data Engineer, you’ll build data products aligned with Data Mesh vision and target architecture. Turning data into impact is key. You will design, build, and maintain efficient and reliable data pipelines and develop and optimize data models for analytics and reporting.

As a Senior Developer, you will be experienced in working with big data ingestion and large data sets in general. You will be responsible for creating and maintaining high-quality ETLs. This is an exciting opportunity to build a new greenfield solution, working as part of a small team, to help the business improve their market-making capabilities within the fixed income space. The platform itself is housed within the AWS ecosystem.

Shape the future of AI in influencer marketing. You will build from scratch and improve existing code. Requires expertise in data modeling and warehousing, including dimensional modeling and performance tuning. Design and operate ETL and ELT pipelines with tools like Airflow or Dagster, plus dbt for transformations.

We’re seeking a seasoned Staff Data Engineer to lead the design, development, and scaling of our modern data platform. This role is ideal for someone who thrives in building and designing robust data systems. You’ll be instrumental in shaping our data infrastructure, driving governance, and building scalable APIs that power real-time and batch analytics.

Adswerve is seeking a Data Scientist to join the Technical Services team to solve complex data-related challenges for some of the biggest brands in the world. The work involves solving client problems with data engineering and data science solutions, applying marketing segmentation, and propensity modeling to surface insights out of marketing data warehouses.

Design and build a next-gen data platform for one of Blue Coding's clients, leading the end-to-end ingestion, transformation, and governance of document-centric datasets stored in S3. Set up a scalable data lake and warehouse that powers analytics, dashboards, and AI model training. Balance hands-on engineering with clear stakeholder communication, turning client feedback into actionable sprint plans.

Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights. Design and run robust experiments, both quickly in toy scenarios and at scale in large models. Create and analyze new interpretability features and circuits to better understand how models work. Build infrastructure for running experiments and visualizing results. Work with colleagues to communicate results internally and publicly.

Experian is looking for a Data Scientist to join our Global Analytics team within Experian Software Solutions. This is an exciting opportunity for someone to work on impactful AI and machine learning projects and contribute to solutions. You will help build and support machine learning models and AI systems that power Experian's products and services. You will work remotely and report to the Senior Director of Analytics and AI.

Collaborate with other data scientists to build and iterate on models for personalized recommendations, targeting, and user segmentation. Lead personalization initiatives that span modeling, experimentation, and implementation to improve user experience and retention. Build and deploy machine learning models such as recommendation systems, targeting algorithms, segmentation, and ranking models.

A Survey Scientist is expected to use a combination of statistics, programming, and domain knowledge to solve problems, focus on creating the methodological backbone for our general purpose products, but also lean in on client projects. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren’t afraid of messy data and are comfortable working in a fast paced, production-oriented environment.