Serving as a business/technical subject matter expert for warehouse, distribution, and transportation technologies to ensure safe and efficient operations.
Developing and supporting reporting and analytics, KPIs, and dashboards to deliver cost and productivity savings.
Leading supply chain system initiatives including network optimization modeling, data cleansing, and automation.
Fresenius Medical Care is the world's leading provider of products and services for individuals with kidney disease, including dialysis machines, dialyzers, and related disposables. With around 292,000 dialysis patients treated globally and approximately 35 production sites, the company is united by a shared purpose of creating a future worth living for chronically and critically ill people.
Design and deliver data solutions for capacity planning, observability, and AI.
Build scalable data pipelines, integrate multiple sources, and ensure data quality.
Work with large volumes of data, collaborate with teams, and support dashboards and analytical tools.
The hiring company is a technology firm focused on data engineering and analytics. It offers a fully remote, collaborative environment for a 12-month project.
Lead the design and implementation of data science initiatives, defining methodologies and best practices.
Develop, evaluate, and optimize machine learning models to solve complex business problems.
Own the complete data science lifecycle from data exploration to deployment and monitoring.
Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end, working with international clients and building long-term partnerships through technical excellence.
Drive the technical and product roadmap by contributing innovative ideas and estimating effort for high-velocity execution.
Collaborate with product managers and engineers to translate abstract business needs into scalable technical implementations.
Own end-to-end responsibility for complex initiatives, from scoping with stakeholders to production deployment and maintenance.
TrueML is a mission-driven financial software company that uses machine learning to create better digital experiences for distressed borrowers. The team includes inspired data scientists, financial services experts, and customer experience fanatics building technology to ensure nobody gets locked out of the financial system.
Partner with product managers and engineers to measure results and deliver insights across the product lifecycle.
Identify key metrics and track progress on high-priority initiatives including new AI product launches.
Develop analytics frameworks for A/B tests and present findings to stakeholders.
We build innovative Data Products and Machine Learning solutions to help companies solve complex business challenges. We are a fast-growing, remote-first startup passionate about technology, collaboration, and continuous learning.
Partner with cross-functional teams to optimize risk operations and improve workflows.
Analyze operational data to identify trends, risks, and opportunities for process improvement.
Leverage AI tools and automation to enhance decision-making and efficiency.
The company operates in the technology sector, focusing on risk management and compliance. It maintains a supportive culture that values innovation, continuous learning, and operational excellence.
Drive customer experience transformation by identifying process improvements and implementing technology-enabled solutions.
Collaborate with cross-functional teams to design and deploy automation, AI, and CRM technologies.
Leverage data analytics to generate insights and support data-driven decision-making for commercial processes.
O-I produces sustainable glass packaging for many of the world’s best-known food and beverage brands. With nearly 19,000 employees across 18 countries, it fosters a culture of innovation and sustainability.
Lead design and implementation of data science initiatives from problem definition to production deployment.
Develop, evaluate, and optimize machine learning models on AWS, owning the full data science lifecycle.
Mentor data professionals and partner with stakeholders to drive measurable business value.
The company is a partner of Jobgether, providing data science and machine learning solutions for complex business challenges. It offers a collaborative remote environment with experienced professionals and strong autonomy.
Transform complex data into actionable insights to drive supply chain performance and decision-making.
Build automated dashboards and standardized reporting tools for global visibility and clarity.
Champion process optimization and digitalization initiatives to enhance agility, scalability, and compliance.
We are a global footwear and apparel company known for brands like UGG and Hoka. We foster an inclusive, people-first culture where employees bring their authentic selves and thrive.
Lead the development of analytical, statistical, and machine learning solutions for client use cases.
Translate business questions into structured analytical approaches, modeling strategies, and measurable outputs.
Apply AI methods including LLM workflows to support classification, pattern detection, and decision support.
Valtech is an experience innovation company that partners with leading brands to unlock new value in the digital world. With a global, borderless framework and a culture that fosters creativity, diversity, and autonomy, we empower our people to thrive and grow.
Create and maintain analytical dashboards and management reports to support business decisions.
Perform data modeling, cleansing, and integration from multiple sources, and conduct exploratory and predictive analyses.
Collaborate with stakeholders to translate business needs into analytical solutions, define KPIs, and automate processes with Generative AI.
This company is hiring a mid-level data analyst to support business decisions through data analysis and reporting. It operates in a data-driven environment where analytical thinking and innovation are valued, and offers a fully remote work model.
Research, process, and analyze datasets across organizational projects, including the flagship Startup Ecosystem Ranking report.
Build reports for internal and external stakeholders, translating data into actionable insights.
Maintain and improve Python scripts and data infrastructure.
StartupBlink is a global startup ecosystem map and research center, providing research and policy advisory services to governments and organizations. We are a small, motivated, fully remote team, with most members based in Europe, working directly with management on high-impact projects.
Develop and implement data analysis techniques and ML models using customer data.
Create scalable data pipelines for feature extraction on cloud services.
Collaborate with engineering teams to productionize work and automate processes.
RRD is a leading global provider of marketing, packaging, print, and supply chain solutions. With 32,000 employees across 28 countries, the company values innovation, authenticity, and integrity.
Migrate data products and analytical workloads from MS SQL Server to a modern cloud data platform.
Build and maintain scalable batch data pipelines and analytical models, reworking legacy SQL and ETL.
Use GCP, Python, and AI-assisted automation to enhance data engineering workflows and data quality.
Social Discovery Group is a group of social discovery companies solving loneliness and disconnection by creating platforms that connect people globally. The international team of digital nomads works remotely, and the company is a two-time 'Great Place to Work' winner.
Design, build, and maintain scalable data pipelines and automation systems for cloud cost intelligence.
Develop robust datasets and data models enabling cloud cost visibility, attribution, usage analysis, and performance insights.
Partner with Engineering and Finance teams to support cloud cost optimization initiatives and ensure strong data quality and reliability.
A technology company focused on cloud cost visibility and optimization, building data foundations that help teams understand and manage cloud spending. It offers a remote-first, collaborative environment with opportunities to work alongside experienced engineers and business stakeholders.
Leverage AI-assisted tooling to optimize data pipelines and code generation, and develop AI-ready datasets to support machine learning and GenAI initiatives.
Build Data Warehousing systems, reporting and analytics.
Translate business needs into technical requirements and specifications to support Data Engineering and Analytics Engineering development.
Loadsmart is a growth-stage logistics technology company valued at over $1 billion, reinventing the future of freight by helping shippers, brokers, warehouses, and carriers move more with less. With headquarters in Chicago and a globally distributed remote team, we are a collection of industry veterans and user-centered engineers committed to driving meaningful change.
Own the reliability of data pipelines, proactively identifying and fixing issues.
Design and optimize dimensional data models using dbt for scalable analytics.
Partner with technical and business teams to ensure data accuracy and usability.
Homeward creates financial products to simplify homebuying, giving buyers and sellers certainty. It is a remote-first real estate startup with a diverse team across multiple countries, grounded in values of empathy, focus, and teamwork.