Remote Data Jobs • Python

Work across all aspects of data from engineering to building sophisticated visualizations, machine learning models and experiments. Analyze and interpret large volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits. Translate complex findings into simple visualizations and recommendations for execution by operational teams and executives. Processing confidential data and information according to guidelines, managing and designing the reporting environment.

We are seeking a highly skilled and experienced Lead Data Engineer to design, implement, and manage our organization’s data architecture. The ideal candidate will possess deep expertise in data modeling, database design, cloud data platforms, and data governance practices. This role requires a hands-on technical leader who can both architect solutions and actively contribute to their development.

A passionate and skilled AI/ML Engineer to develop, implement, and optimize machine learning models and AI-driven solutions. A key player in the team, contributing to designing state-of-the-art systems that drive automation and decision-making.

Serves as a technical expert and strategic partner responsible for designing, developing, and maintaining advanced data architectures and processing systems that support the National Park Service’s mission. This role oversees the full data lifecycle from requirements capture and database design to the creation and optimization of complex data pipelines. The position involves working with large and diverse datasets.

Play a critical part in Tyndale's mission to harness data for advanced AI and Machine Learning applications. Collaborate with data scientists, and business stakeholders to build and maintain robust data pipelines, ensuring data architecture supports the full lifecycle of AI initiatives. This is an exciting opportunity to shape the data foundation of AI and Machine Learning efforts, driving impactful insights and innovations.

Design and execute advanced pricing models, lead experimentation efforts, and uncover insights that power monetization and growth. Work cross-functionally with Product, Analytics, Revenue, and Engineering to ensure our pricing strategies are data-driven, rigorously tested, and aligned with customer value. This is a high-impact opportunity for someone who thrives at the intersection of data science, economics, and strategy.

Expanding the data modeling layer, building trustworthy foundations for analytics, and enabling teams across the company—from Product to GTM to Finance—with scalable, reliable data. This role will report directly to the Head of Data and you’ll partner with them and our Staff Data Engineer to build a reliable data foundation upon which Honeycomb can scale our business.

Apply data science to human capital, building models and research that decode organizational behavior and shape talent strategy. This role includes predicting and enhancing talent acquisition, development, and retention, quantifying and elevating employee experience, optimizing team performance, maximizing productivity and rethinking how talent is measured. Leverage structured problem solving approaches and data science skills to deliver high impact solutions.

As a Mid-level Data QA, you will play a crucial role in ensuring the integrity and quality of data within our emerging projects. Your expertise will enhance our data pipelines, enabling us to drive innovation and transformation through data excellence. Collaborating with diverse teams, you will validate and normalize structured data to meet high quality standards, thus supporting our commitment to delivering cutting-edge solutions powered by AI.

Adswerve is looking for a Senior Data Engineer to join our Adobe Services team to lead the design and delivery of end-to-end data, analytics, and personalization solutions to our clients within the Adobe Experience Platform (AEP). As a senior contributor, you’ll architect and implement complex data workflows, mentor junior engineers, and drive technical strategy for Adobe Experience Cloud implementations.