Collaborate with Data Engineers to implement strategic engineering proof of concepts and contribute to technology roadmaps.
Audit datasets for accuracy and reliability, and advise on data models and algorithms for client problems.
Develop and test applications for analytics pipelines and support digital analytics implementations.
Adswerve is an award-winning data, media and tech consultancy and a leading Google and Adobe partner that helps brands and agencies unlock new opportunities for growth. Our team of 250+ employees is spread across 26 states and six countries, with a remote, team-oriented culture where everyone contributes and feels valued.
Understand customer's AI strategy and business critical challenges, finding the best problem-solution fit.
Support customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations.
Execute business-critical Proof-of-Value projects, including architecture and deliver secure, scalable systems.
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, they are changemakers pushing the boundaries of what’s possible and invest heavily in advanced AI capabilities.
Query and analyze large HR datasets using SQL, Python, Databricks, PowerBI, and Excel to spot inconsistencies and patterns.
Support group-wide People & Culture data consistency, reporting, and systems like SAP SuccessFactors.
Collaborate with Group HR Controller, country HR Heads, and stakeholders to align data types, structures, and governance.
InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe’s leading OOH e-commerce enablement platforms. Founded in 1999, the company operates nearly 47,000 Automated Parcel Machines and 35,000 pick-up points across nine countries, with a strong engineering culture focused on quality and collaboration.
Lead the end-to-end development of an internal-facing GenAI capability.
Conduct competitive scans of the emerging Databricks ecosystem and adjacent tooling.
Help define schemas, APIs, and contracts.
G-P's Global Employment Platform enables clients to expand into over 180 countries. Our diverse, remote-first teams are essential to our success and we empower our Dream Team members with flexibility and resources.
Develop AI systems that automate dispute and chargeback handling using structured evidence and business logic, creating a better experience for our customers.
Build models that automate refunds, getting money back to our customers faster.
Build and maintain evidence extraction pipelines that process unstructured data using LLM-powered workflows to produce structured, actionable outputs.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They are a remote-first company with competitive benefits and focus on an inclusive interview experience.
Data-driven Culture: you will be an ambassador for our data-driven culture, taking data and using it to answer business questions and drive strategy & decision making
Data Management: you will access, clean and organize raw data in a way that makes sense for you, your team and your stakeholders
Visualizations: you will help us to see and understand our data in a way that makes sense, creating automated dashboards and funnels for various internal teams
Super.com helps people save more, earn more, and get more out of life. They invest in learning, celebrate bold ideas, and create pathways for career growth.
Building pipelines that augment documents with metadata.
Building systems to ensure the reliability and accuracy of hundreds of web scrapers.
Optimizing and evaluating our core utils, which do things like extracting and resolving citations.
We are hiring a senior software/data engineer to help build the largest case law dataset. Our data coverage includes US laws and court decisions and powers our lawyer-facing AI platform and B2B data services.
Execute end-to-end data science projects, from problem definition to deployment, building machine learning and NLP solutions for client decision-making.
Design scalable data pipelines and workflows, apply LLM APIs, and integrate cloud services into analytical deliverables.
Partner with senior data scientists, engineers, and client teams to create reusable tools that scale insights across projects.
Inizio Medical is part of Inizio, a global leader in healthcare communications. They help pharmaceutical and healthcare organizations turn complex science into meaningful impact through data, insights, and innovation.
Design and implement data-driven solutions on GCP including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Looker/BI.
Build and optimize ETL pipelines using SQL and Python to extract, clean, and transform structured and unstructured data from ERP, procurement, logistics, and facility management systems.
Ensure data governance, lineage, and compliance across supply chain datasets while continuously optimizing query performance and pipeline reliability.
Innodata is a global data engineering company that enables the responsible advancement of artificial intelligence by providing data, evaluation frameworks, and human expertise. With over 36 years of legacy, Innodata delivers high-quality data and outstanding outcomes for generative AI builders and adopters.
Design, configure, and maintain AI agent workflows using Cursor and Claude Code for automated data system architecture.
Build and maintain a RAW → Base → Data Marts pipeline using dbt Core and implement business logic at the transformation layer.
Build comprehensive test suites using Great Expectations and ensure data quality through manual inspection and automation.
BiOptimizers helps people go from baseline health to peak biological performance with science-backed supplements and wellness tools. As a remote-first company, their globally distributed team focuses on clarity, autonomy, and operational excellence.
Partner with Product and Engineering to identify high-impact opportunities and define success metrics.
Lead rigorous experimentation across teams with hypothesis design, A/B testing, and clear readouts.
Build and iterate on ML/AI capabilities that ship to production, optimizing for value, latency, and cost.
Traackr is a global SaaS company providing a data-driven influencer marketing platform for marketers to optimize investments and scale programs. They are a remote-first company with offices in San Francisco, New York, Boston, Paris, and London, operating on a culture of mutual respect with core values including trust, diversity, value, ownership, and mutual success.
Build and improve AI-native products and data-driven systems.
Rapidly prototype and iterate on AI-powered features.
Analyze, evaluate, and improve model outputs and system reliability.
FutureProofing is a talent platform focused on embedding high-caliber technical talent into startups building real AI-driven products. They work at the intersection of startup execution and real AI product development, helping companies build and improve production AI systems.
Collaborate with Product, Engineering, and Commercial teams as the analytical backbone of your pillar, blending statistical rigor with commercial judgment.
Lead experimentation across your pillar, designing tests, sizing opportunities, and fostering evidence-based iteration.
Create self-serve dashboards and standardize metrics using AI-assisted workflows to accelerate output and focus on high-value problems.
Software Mind develops impactful solutions for global companies, working with tech giants and unicorns on transformative projects. The culture embraces openness, respect, grit, and combines employment with enjoyment among cross-functional engineering teams.
Own data products end-to-end, delivering best-in-class outputs with a focus on accuracy, client value, and efficiency.
Tackle complex data problems using strong analytical judgment to refine methodologies and solve challenges with creative thinking.
Use AI and tooling to drive leverage, automating workflows while maintaining a high bar for correctness and quality.
YipitData is the leading market research and analytics firm for the disruptive economy, analyzing billions of alternative data points for investment funds and Fortune 500 companies. Recognized by Inc. as a Best Workplace for three consecutive years, the company operates globally with offices in the US, APAC, and India, emphasizing transparency, ownership, and continuous mastery.
Work with large-scale datasets and production environments.
Build data pipelines, experimentation frameworks, and analytical solutions.
Use cloud environments and modern data infrastructure.
RYZ Labs is a startup studio founded in 2021 by two lifelong entrepreneurs. Their teams are remote and distributed throughout the US and Latam, using the latest cutting-edge cloud computing technologies to create scalable and resilient applications.
Set technical direction for core replenishment R&D and align it with product and business strategy.
Model complex problems such as inventory decay and demand forecasting, driving changes from research through production.
Lead research and development for new challenges and mentor scientists and engineers.
Afresh is an AI platform for grocery, empowering partners like Albertsons, Meijer, and Wakefern to drive smarter decisions across their enterprise. With over 200 million pounds of food waste prevented last year and a 70% revenue growth in 2025, it has scaled to 6 enterprise-grade solutions covering over 10% of the U.S. grocery market.
Drive execution strategy across multiple products and platforms.
Write and optimize advanced SQL queries to collect, transform, and analyze product data.
Leverage AI agents and AI-assisted tools to automate workflows, accelerate analysis, and prototype solutions.
Linda Werner & Associates focuses on connecting talented individuals with great companies. We are committed to matching the right people with the right opportunities, creating successful partnerships for both clients and candidates.
Monitor and maintain machine learning and data science products in production.
Build end-to-end ML models, LLMs, and agent systems to deliver transparent sustainability data.
Analyze complex datasets autonomously and communicate with diverse stakeholders.
Clarity AI is a global tech company founded in 2017 that leverages AI and machine learning to provide sustainability data to investors, governments, and companies. With over 300 passionate employees worldwide and offices in New York, Madrid, London, Paris, and Abu Dhabi, we foster a culture of being fact-based, diverse, transparent, meritocratic, and flexible.
Design, build, and maintain scalable data pipelines using Python, Spark, and Airflow.
Collaborate cross-functionally with AI/ML and Product teams to implement new features.
Proactively identify and resolve bottlenecks in our complex ETL processes.
Sayari provides judgment infrastructure for trustworthy AI in economic security and commercial risk. They resolve primary-source records forming the ground truth of global commerce, and are headquartered in Washington, D.C., with offices in London, Singapore, Tokyo, and Tel Aviv.
Lead the team and oversee operating model, from project inception to evaluation and maintenance.
Partner with product and engineering teams across the Buyers Edge Platform organization to determine and deploy data science and AI applications.
Use proprietary and external data sources to build forecasting, anomaly detection, and decision-support capabilities.
Buyers Edge Platform revolutionizes the foodservice industry through technology, purchasing power and partnerships. With a diverse portfolio of over a dozen brands, they are dedicated to empowering stakeholders across the entire foodservice ecosystem with efficiency and unprecedented visibility.