Analyze banking transactions and enhance fraud detection algorithms using graph-based analysis of financial data.
Build and integrate ML models, including classic, graph-based, and neural network approaches, into the Fraud Protection platform.
Document research findings and present them to stakeholders, contributing to broader graph-related tasks like GraphRAG components.
Group-IB is a leading cybersecurity technology creator dedicated to investigating, preventing, and fighting digital crime. With over 1,550 cybercrime investigations and 600+ enterprise customers globally, the company operates Digital Crime Resistance Centers across multiple regions, fostering a culture of mission-driven innovation and global collaboration.
Define and evolve the technical vision and roadmap for the Databricks platform and broader data ecosystem.
Drive the federated data operating model, balancing domain ownership with enterprise governance and standards.
Partner with analytics and AI teams to establish scalable patterns for model development, deployment, and governance.
A Place for Mom is the leading platform guiding families through every stage of the aging journey, connecting caregivers to vetted senior living communities and home care agencies. Since 2000, the company has helped millions of families and operates with a mission-driven culture that values empathy and innovation.
Develops, manages, and optimizes BI solutions including data models, dashboards, and reports.
Works with stakeholders to gather requirements and present data insights using visualization and analysis.
Applies Python and SQL skills to extract business insights and maintain data warehouse systems.
Origami Risk delivers single-platform SaaS solutions that help organizations navigate the complexities of risk, insurance, compliance, and safety management. Founded by industry veterans, the company focuses on client success and offers award-winning software solutions.
Develop and maintain an OLAP ETL project using PL/SQL, AWS Glue (Python), and RedShift.
Support Java and Data Science teams as an Oracle database expert.
Develop and support other SQL and PL/SQL code existing in the platform.
Erbis is a tech company that builds cutting-edge software solutions driving success for businesses worldwide. They seek top talent to create impact through innovative development.
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.
Analyze manufacturing ERP-related data from multiple systems to identify performance, cost, and efficiency opportunities.
Translate business requirements into analytical solutions and bridge communication between business and data engineering teams.
Combine and connect data from different sources for enhanced analysis, including profit and cost analysis of manufacturing processes.
Tieto is a tech consulting company that helps transform manufacturing data into actionable insights. They foster a culture of diversity, equity, and inclusion, believing it drives innovation and an inspiring workplace.
Design, develop, and maintain backend data processing solutions using Apache Spark.
Write and optimize SQL queries for data extraction, transformation, and analysis.
Develop scalable data pipelines and ETL processes, collaborating with cross-functional teams.
Talan is an international advisory group specializing in innovation and transformation through technology. The company has 5,000 employees and an annual turnover of 600M€, and has been recognized as a Great Place to Work in Spain and Poland.
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, build, and scale systems for customer-facing data products and machine learning workloads.
Collaborate with product, engineering, and cross-functional partners on complex data challenges.
Implement data quality, observability, and governance frameworks for reliable data at scale.
Boulevard provides the first and only client experience platform for appointment-based self-care businesses. The company has an insatiable curiosity and embraces experimentation, with a diverse team that values open communication and equal opportunity.
Design the technical architecture of the Databricks Data Warehouse and act as the pattern reviewer for the team.
Build and optimize secure self-service frameworks for batch and streaming data so the same request is never solved by hand twice.
Treat the platform like production software by defining SLOs, owning observability, and leading incident triage.
Tilt uses machine learning and mobile-first products to provide credit based on over 250 real-time financial signals, not just credit scores. With millions of customers worldwide, the company is building a new credit system for working people.