The Chicago Cubs are seeking Data Scientists to join our Baseball Analytics and Baseball Sciences groups in the Baseball Operations’ Research and Development department. These roles will focus on building models and applications that support baseball decision-making in the front office. Data Scientists will work closely with the rest of the R&D team to design and implement data processing pipelines.
Successful data engineer actively participate in the design, development, and operation of a modern data platform that supports Carenet Health’s business strategy and delivers trusted data-as-a-service capabilities with a focus on data quality, reliability, and ease of use. Partner with BI teams, analysts, and business stakeholders to design, build, and maintain Carenet Health’s enterprise data warehouse.
As a Solutions Analyst on the Operations team, you’ll support research and prototype development for tools that streamline inventory planning, data management and daily task workflows. You’ll partner with senior analysts, operations leads, and engineering partners to gather requirements, build simple dashboards, and iterate on low-code prototypes. This hands-on role is a great opportunity to grow your skills in data analytics, visualization, and operational app development while contributing directly to our next-generation tools.
Our client is hiring a Senior Data Analyst to join a small but impactful data team. This position goes far beyond dashboards—it's about uncovering meaningful insights that directly shape gameplay, guide product evolution, and influence decisions that affect millions of active players. You will collaborate closely with stakeholders across Product, Design, and Marketing.
Seeking a committed Senior Data Engineer to join our team in a leading multinational technology company. The professional will develop, test, and maintain existing data architectures, ensure data quality, collaborate with teams to optimize processes, analyze raw data, and implement data storage solutions.
We are looking for a Senior Data Scientist passionate about transforming data into valuable insights. If you have experience in Python, SQL, SAS, and are proficient in Machine Learning libraries, this is the ideal opportunity for you! This role involves conducting exploratory data analysis to discover patterns, developing predictive models, and implementing NLP techniques.
You will play a central role in transforming TRM’s intelligence into compelling, defensible narratives. Your work won’t stop at research, you will actively discover new intelligence, validate and extend TRM’s attribution, and communicate findings back into our attribution pipelines and products.
The Healthcare EDI Analyst will serve as a primary resource for the intake of new healthcare EDI data. The ideal candidate will have an inquisitive nature and a thirst for getting to the bottom of data patterns, along with the technical expertise (SQL) to navigate healthcare EDI data in a relational database.
A highly motivated and experienced Lead Data Engineer is needed to join our growing team. This is a unique opportunity for a "founding engineer" type who thrives in a fast-paced environment, can lead technical initiatives, and is eager to build our data platform from the ground up. You will be instrumental in shaping our data strategy, driving technical execution, and fostering a data-driven culture.
As a Sr. Data Engineer, you will design, develop, and maintain robust data pipelines that ensure the reliable ingestion, transformation, and delivery of complex data across systems. You will be responsible for optimizing data storage and processing in data lakes and cloud data warehouses (Azure, Databricks). Strong collaboration skills are needed to help drive excellence across our data infrastructure.