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Lead data-science projects to optimize supply-chain simulation and fulfillment for a large home-improvement retailer, using Python, SQL, BigQuery, and Tableau.
Build predictive models to optimize debt recovery by prioritizing contacts, timing, and channels, working with Product and Engineering to deploy solutions in a large-scale operation.
Senior role designing enterprise-scale AI and data architectures for Salesforce’s Agentforce and Data360 platforms, engaging C-suite customers across EMEA to drive adoption and strategy.
Design and migrate data architectures to the cloud (AWS/Azure/Google Cloud), build data lakes and warehouses, and advise teams on data solutions for Thales’ high-security environments.
Design and build scalable cloud-native data pipelines and warehouses that transform raw enterprise data into trusted, actionable insights for analytics and decision-making.
WHO WE ARE: A leading partner to the world’s major cloud providers, including AWS, Azure, and Google. The formation of Accenture Cloud First, with a $3 billion investment over three years, demonstrates our commitment…
About Fincons US Fincons US is a global IT consulting and system integration company delivering innovative technology solutions to Fortune 500 clients across media, entertainment, telecommunications, and financial…
Build geospatial ML models to optimize final-mile delivery routes, reduce costs, and improve customer/driver experience using GPS, traffic, and routing data.
Designs and maintains a Customer Data Platform to unify customer profiles across channels, integrating data sources, building segments, and ensuring compliance for marketing and analytics teams.
Analyze customer, marketing, and sales data to build dashboards and reports that guide eCommerce strategy and retail performance decisions.
Builds and maintains data pipelines, ETL processes, and data warehouses to extract, transform, and load large datasets from diverse sources (structured/unstructured) using Hadoop, PySpark, Airflow, and BigQuery. Focuses on data validation, automation, and creating actionable business insights via algorithms and SQL.
Design and maintain financial data pipelines using SQL, Python, PySpark, and Microsoft Fabric to automate reconciliations and reporting for reserving, claims, and enterprise decision-making.
Design and implement cloud-native data platforms (lakehouses, streaming pipelines) using Azure/AWS/GCP to support AI/ML and analytics at scale.
As the Senior Business Intelligence Engineer, you will be the primary owner of a data and reporting ecosystem that already exists but has never had a dedicated owner. Cloud pipelines, a dashboard portfolio, and…
Designs and optimizes scalable database architectures (PostgreSQL, NoSQL, graph/time-series) to support data science and ML workflows, ensuring high performance, security, and integration with research pipelines.
Senior Data Engineer builds and scales cloud data pipelines using BigQuery, dbt, and Python, ensuring reliable, normalized data flows for business decisions.
Join as a Gen AI Solutions Engineer — Premier Cloud Job Type: Full-time Travel: Up to 30% (customer sites, Google offices, industry events) Salary Range: $125,000 – $200,000 CAD per year. Actual base salary is based on…
Build and run production data pipelines, model core business metrics, and improve Beamery’s data platform to power AI-driven workforce solutions.
Build and ship AI security products that detect and mitigate risks in agentic AI tools and SaaS integrations, using Python/Go, LLM APIs, and modern data stacks.
Build and scale production-grade driver-based revenue models that link Snowflake’s product usage to financial outcomes, enabling self-service scenario planning and executive decision-making.
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