Help drive the transformation of the data platform by increasing the platform's performance, streamlining processes and continuing to ensure respect for users' privacy. Design and build data platforms, endpoints and pipelines that meet business requirements and enable stakeholders to make more data-driven decisions. Actively collaborate with teams across all of eyeo.

Drive innovation and simplicity by identifying opportunities and process improvements to gain efficiencies. At least 3 years of experience with Data Analysis using SQL as primary tool. At least 3 years of database knowledge and performing data cleaning, preparation, adhoc queries, report validation, and formatting.

Join Canvs AI as a Research Scientist in the Data Science & AI team. You will develop next-generation AI systems that transform how organizations understand customer emotions and loyalty, designing, implementing, and evaluating LLM and transformer-based text classification models and developing reliable AI agents.

Headway is seeking a Senior Data Engineering Manager to create access to affordable, quality mental healthcare across the United States. You'll lead the Data Platform team, build next generation data platform systems, and work with stakeholders to roadmap projects. If you have experience as a Data Engineer and Engineering Manager, this role is for you.

PayPay's growth is driving a rapid expansion of PayPay product teams and the need for a robust Data Engineering Platform. The DaaS team’s responsibility is to design, implement, and operate this platform using cutting edge technologies. Seeking Data Engineers to help scale the platform.

As a Data Engineering Intern, you will work with the Business Intelligence team to help extract, transform, and load (ETL) data from both internal and external sources into a Snowflake data warehouse, gaining experience using tools such as SQL, Airflow, and Google Cloud.

Expand and improve the data and data pipeline architecture, as well as optimizing data flow and MDM for cross-functional teams. Design, develop, and operate large-scale data pipelines to support internal and external consumers. Integrate data sources to meet business requirements. Write robust, maintainable, well-documented code.

Support daily data science team activities, including data collection, cleaning, and preprocessing. Build and optimize machine learning models and conduct exploratory data analysis (EDA) to develop dashboards and visualizations for insights. This is a time-limited internship opportunity.

You will support the team’s efforts in data management, analysis, and visualization, helping to drive decision making. The ideal candidate will be comfortable working with SQL and Python, and have experience working with BI platforms to visualize data. Responsibilities include querying and organizing data, performing data analysis using Python, and developing dashboards.

Design machine learning systems, research and implement appropriate ML algorithms, applications and tools, select appropriate datasets and data representation methods, and perform statistical analysis and fine-tuning using test results.