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.

The Senior Manager of Biostatistics is a member of cross-functional development teams and contributes to trial design, protocol development, analysis planning, interpretation of results, and preparation of regulatory submissions. These individuals develop collaborative relationships and work effectively with the Biostatistics Lead, and other cross functional team members.

Design, develop, and maintain scalable data pipelines using Python, Spark, and Databricks. Integrate data from various sources into a unified data warehouse, ensuring data quality and governance. Optimize Spark jobs, implement CI/CD pipelines, and collaborate with stakeholders to deliver data solutions.

Seeking a detail-oriented and highly analytical Intermediate Database Analyst to support and execute multiple data migration projects in parallel. The ideal candidate will be responsible for migrating data from source to target systems ensuring accuracy, consistency, and efficiency throughout the process. This role requires strong expertise in SQL, ETL processes, scripting and process optimization.

Lead and scale the data function, guide data strategy, drive insights for critical decisions, and build a high-performing data team; working cross-functionally with product, marketing, operations, finance, and the exec team to ensure data is at the core of every decision.

This role is critical in identifying and curating high-quality, high-conversion leads from specialized data sources, including divorce records, bankruptcy filings, probate cases, and other niche real estate indicators. The ideal candidate will have a deep understanding of the real estate investment landscape and the ability to leverage specialized data to drive high quality lead generation and business growth.

Craft data science and machine learning solutions that generate a big impact on customers by conducting experiments and developing hypotheses to solve business problems using advanced statistics techniques. Develop and implement data science strategies that drive measurable business results, addressing ethical concerns in data science.