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Builds scalable real-time recommendation systems and distributed data infrastructure, integrating cloud services and AI/ML models to analyze user behavior and optimize software performance.
Data Science Engineer developing, validating, and deploying ML, Deep Learning, and Generative AI models into production, while building data pipelines and supporting model monitoring using Python, SQL, and standard data science libraries.
Application Architect combining hands-on Python/Azure development with solution design, agile leadership, and client engagement to deliver digital transformation and business process automation projects.
Builds and maintains quantitative investment systems using ML, cloud, and high-performance tech to support $111B fund’s algorithmic trading strategies.
Data Analyst (Part-Time) Company: JJ EC, Inc. Location: El Monte, California, United States Employment Type: Part-Time Salary: $35 - $50 USD per hour Job Overview JJ EC, Inc. is seeking a meticulous and insightful Data…
The Data Engineer will design and develop data environments to support Advanced Analytics and AI projects, working closely with clients to translate business needs into technical solutions using Python, SQL, Snowflake, and DBT.
This Data Engineer role involves designing and building end-to-end data management solutions for financial services clients. The position focuses on data integration, modeling, and visualization using tools like SQL, SSIS, and BI platforms to support asset management processes.
Location: Johannesburg | Work Type: Hybrid | Job ID: J107172 About our client: Our client offers financial service solutions helping their clients achieve their dreams. With an emphasis on culture fit, they boast a…
Data Engineer in Nantes designing and feeding datamarts via ELT tools (e.g., Semarchy Xdi) and SQL for a major banking group's decisional information system, with a strong functional-analysis dimension.
This Data Engineer role involves building and maintaining data pipelines and BI solutions for an energy sector client using DBT, Snowflake, Airflow, and Power BI. The position focuses on industrializing data production, modeling, and performance optimization within a governed data fabric environment.
Full-stack engineer owning features from backend APIs to frontend interfaces, building scalable financial reporting and data-visualization applications using Python (Flask/FastAPI/Django), ReactJS, and PostgreSQL.
Data Scientist supporting a Federal Agency enterprise data management and analytics program, developing and refining ML/AI models, applying NLP to unstructured data, and building visualizations using Python, R, or SQL.
Designs and builds data models, pipelines, and analytics foundations for Relay’s Last Mile logistics AI systems, ensuring real-time operational decisions and strategic insights while collaborating with cross-functional teams.
Build scalable market risk analytics workflows, ETL processes, and regulatory reporting solutions using Python, SQL, and BI tools at Goldman Sachs in Birmingham.
Build full-stack financial reporting and data visualization tools using Python (Flask/FastAPI/Django) and React/TypeScript with PostgreSQL.
Develops full-stack financial data apps using Python (Flask) and React, focusing on reporting and visualization for US/LATAM clients in a fast-paced consultancy environment.
Full-stack architect responsible for end-to-end development, service architecture, and delivery of applications supporting complex financial reporting and data visualization using Python frameworks and ReactJS.
The Principal Data Solutions Architect provides strategic and technical leadership for client data projects, designing scalable cloud-based data architectures and roadmaps. The role involves leading delivery teams, mentoring staff, and supporting business development using technologies like Azure, AWS, Snowflake, and Databricks.
Senior Data Engineer owning a Snowflake-based Data Lakehouse for trading, compliance, and marketing intelligence, building ETL pipelines, data models, and Power BI dashboards at a fintech trading firm.
An Associate Data Scientist at Culture Amp designing AI-powered features, building data pipelines and evaluation systems, and running experiments to measure product value.
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