Reporting to the Senior Manager of Development and Operations you will be an expert in Design and Developing end-to-end data solutions from source data ingestion, ETL process, visualization, and to business insights delivery. You will identify automation opportunities in existing data pipelines and propose design of the automation process, collaborate with Engineering teams, write secure, stable, testable, and maintainable Python code, and troubleshoot data.
Looking for a Customer Analytics Data Scientist to prevent the creation of fraudulent accounts. You will report to the Sr. Director, Analytics and Innovation. This role is crucial in overseeing the trial process, analyzing data, and presenting results to clients to optimize performance and support expansion opportunities.
Help Orita handle massive amounts of data efficiently and reliably. Play a crucial role in unifying our data pipeline with an event taxonomy and normalization layer, ensuring our machine learning models have high-quality data to work with. Enhance our data infrastructure and drive innovation in our data processing capabilities.
This Software Engineer III will be part of the team designing and developing the digital identity infrastructure and deliver well-thought-out software solutions as part of a fault-tolerant, scalable platform utilizing a variety of cutting-edge technologies. This is a hands-on role where you will demonstrate the skills, experience, and confidence to work with other senior engineers and product management team members to deliver solutions that will delight our customers.
You'll have the opportunity to build the data infrastructure at the heart of the business, empowering others with data analysis and turning data into actionable insights. As a leader in the Data Team, you'll bridge business and product needs with data solutions, ensuring data quality and solution delivery.
We are looking for a Customer Analytics Data Scientist, who will report to the Sr. Director of Analytics and Innovation. This role is crucial in overseeing the trial process, analyzing data, and presenting results to clients to optimize performance and support expansion opportunities.You will conduct prospect-facing technical analysis to compute and present Return on investment for all sales engagements.
In this job, you will join our efforts in the application of Network Science to our business, building and maintaining pipelines that transform vanilla tabular data into informative graphs and using your analytical skills to come up with useful graph architectures. As a member of a fully remote and distributed team, you are expected to complete tasks autonomously, being highly collaborative and self-driven, with the curiosity of a child and the responsibility of a grown-up.
Support the design and development of data infrastructure and pipelines to enable analytics, reporting, and operational data needs. Work closely with senior engineers and cross-functional teams to build reliable and efficient data workflows. This role is ideal for someone with a solid foundation in SQL and data engineering concepts, looking to deepen their expertise in a cloud-first.
As a Senior Data Engineer II, you will play a pivotal role in designing, building, and maintaining our cutting-edge data LakeHouse platform. You will leverage open table formats like Apache Iceberg to create scalable, reliable data solutions that enable optimized query performance across a broad spectrum of analytical workloads and emerging data applications.
Design and implement scalable, well-documented data pipelines and semantic models using Microsoft Fabric and Power BI to support enterprise-wide analytics. Translate complex business requirements into performant data models, calculated measures, and interactive dashboards using DAX and Power Query. Integrate and transform data from Dynamics 365 and other enterprise sources into analytics-ready formats for self-service BI and decision support.