We are seeking a talented and self-motivated Quantitative Researcher to join a growing data science efforts; you will work in a collaborative team with the potential to deliver significant contributions through data-driven insights and by providing high-quality research tools enabling reproducible and well-tested research to take place across the firm.
As a Data Scientist at the Experian Innovation Lab, you will help develop analytical solutions, contributing to product prototypes, and helping evaluate data assets. You will bring experience in predictive modeling, machine learning, and deep learning to this position. Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
As a Lead Data Scientist, you will spearhead the development of cutting-edge Generative AI solutions while building and guiding a brand-new data science team. You’ll be responsible for shaping technical strategies, driving innovation, and delivering impactful AI-driven products leading from the front in a fast-evolving space.
As a Manager Data Scientist, you will lead a team focused on developing advanced recommendation engines and deploying machine learning models into production environments. You will leverage your expertise in Python and PySpark coding, along with your experience in MLOps, to play a pivotal role in enhancing Blend's data-driven decision-making processes. This position offers a unique opportunity to lead and mentor a team while driving technical excellence and innovation.
Take a lead role in a cross-functional team that is responsible for understanding and empowering the future of Mozilla. Serve as a data expert who can represent the function of data science broadly across Mozilla, while helping the team advance its practice. Drive the vision and execution of work, often to address ambiguous issues, that creates impact across organizations.
Manage and lead simultaneous data science initiatives using algorithm development and experimental analysis tools (Python, SQL, Tableau, and Streamlit), prioritize cross-industry reporting needs, and deliver effective and efficient products. Requires experience with Python, SQL, Tableau, Streamlit, Jenkins, Git, Drone, PIG, HIVE, Looker, PowerBI, scikit-learn, Plotly, Pytorch, Tensorflow, Docker and Kubernetes.
Lead the product strategy and execution for TrueML's Data Science team, shaping the future of AI and Data Science. This role defines, prioritizes, and delivers innovative data-driven products and capabilities, leveraging machine learning, statistical modeling, and advanced analytics. Translate complex technical concepts and user needs into a compelling product roadmap and tangible results.
Head up the data science team and ensure the excellence of data science models. Partner closely with the data Product Manager, Analytics Engineering Lead and the rest of the data team to design, deploy and drive trust in the best-in-class predictive models. Serve as a technical lead for the design, implementation and continuous improvement of predictive models that enrich the database of voters across the country.
The Data Scientist Supply Chain role will work on improving supply and demand forecasting capabilities using data pipelines, Extraction Transformation Loading (ETL) processes, and ML models. This role will also deliver excellent customer experience by working directly with clients in the Dairy and Livestock sectors. The commitment needed is 20 hours a week.
The Data Scientist ML, part time, role will work on training ML models using data pipelines, Extraction Transformation Loading (ETL) processes, and data integration. This role will also deliver excellent customer experience by working directly with clients and customers. This role would need a commitment to 20 hours a week.