The Data Scientist will independently develop and lead projects focused on information extraction from documents, working within the Product Impact group to build a key database of environmental product declarations and product category rules, designing and maintaining algorithms and models for information extraction ensuring the integrity of extracted data.

As a Data Scientist, the role focuses on developing machine learning models to solve complex business problems, stepping into ML engineering tasks, such as troubleshooting pipelines and ensuring operational stability, mentoring junior team members and fostering collaboration across teams.

Improve client and provider experience by building machine learning models to solve business problems. This is a cross-functional role where you will collaborate with product managers, software engineers, and designers to define and execute on the Care Finding product roadmap. You will have the opportunity to tackle challenging problems such as client-provider matching, LTV modeling, and user segmentation.

As a Data Engineer- I, you will report to a Team Manager/Lead and work closely with a team, responsible for running and maintaining data pipelines and producing highly accurate data deliverables for internal and external clients. You will collaborate using virtual tools, resolve issues, improve documentation, and provide critical thinking to meet client needs.

As an AI/Machine Learning Engineer, you will lead the development and deployment of advanced machine learning models and AI solutions, collaborating with cross-functional teams to drive innovation and deliver impactful AI-driven products for federal programs.

As the Senior Customer Analytics Manager, you will lead high-impact analytical initiatives supporting Jobber’s most critical strategic priorities, collaborating across departments to drive data-informed decisions that fuel sustainable growth. This role involves strategic insights, experimentation and advanced analytics, stakeholder partnership and communication, and enablement and thought leadership.

As a senior AI/ML engineer, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage. You will collaborate with product managers, data scientists, and software engineers to identify AI/ML opportunities and develop innovative solutions.

The company is looking for an experienced Data Engineer with strong expertise in Python and SQL. This role requires hands-on experience with AWS services, big data processing, and distributed computing. The Data Engineer will be responsible for building and optimizing data pipelines and integrating various data sources.

The Senior Data Analyst will report to the SVP of Strategy & Analytics, and serve as a strategic partner across Kafene, to use data to shape how Kafene grows, invests, and operates. The role involves leading projects end-to-end, from framing ambiguous questions to analyzing large datasets and delivering insights that drive action, informing Kafene’s most critical decisions on growth, profitability, and efficiency.

Provide guidance in the research and implementation of Machine Learning algorithms for natural language processing (NLP) and text analysis using LLMs. Participate in the implementation of deep learning-based solutions. Plan experiments for testing and validation of implemented algorithms. Prepare models for deployment. Stay updated on the latest findings in artificial intelligence.