Top Hybrid Data Science Jobs
The Senior Data Scientist will develop strategies to extract and analyze data from large datasets, implement analytical methods, and work with cross-functional teams to support government needs. The role involves applying advanced data techniques and fostering innovation in solutions.
As a Data Scientist at Kikoff, you will leverage your analytical skills to drive product development by using data-driven insights. Your role includes shaping product goals, conducting rigorous analyses, and effectively communicating data stories to cross-functional teams to enhance customer financial security.
The Data Scientist will utilize SQL and Python for data analysis, design automated data ingestion processes, lead machine learning projects, manipulate and visualize data, build scalable workflows using cloud services, and apply CI/CD practices.
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The Senior Data Scientist at TransUnion is responsible for developing analytic solutions through consulting for clients within credit, fraud, insurance, and marketing sectors. This role involves leading multiple projects, delivering insights, and enhancing analytic capabilities using programming languages like R and Python, while working collaboratively across teams.
The role involves leading R&D initiatives for productivity improvements within Kraft Heinz, managing projects from conception to commercialization, and executing tests to analyze data. Strong communication and teamwork skills are required to collaborate across various functions. Candidates must possess critical thinking and a technical background.
The Senior Data Scientist will analyze feature requests, design and implement models for large datasets, and utilize AI/ML solutions to improve efficiency. Responsibilities include communication with clients, detailed analysis of business requirements, and leading discussions to determine project priorities. The role requires strong data methodologies and continuous learning in data science advancements.
In this role, you will enhance and test models for lending and verification procedures, conduct ad hoc analyses, interpret and communicate data effectively to support risk management, marketing, and operations. You will work alongside a large analytics team utilizing various programming tools for data-driven analysis.
As a Senior Data Scientist, you will analyze complex data sets related to private markets and alternative investments, develop models, create visualizations, and collaborate with teams to build data-driven products. You will also leverage advanced SQL and work with unstructured data to extract insights.
Lead the development and implementation of statistical and machine learning models to improve business decisions and member experience. Conduct data analysis, collaborate with internal clients, develop recommendations, and present findings to leadership. Work on risk analytics and ensure compliance with regulations through model validation and documentation.
The Senior Consultant/Engineer will deliver complex solutions in areas like analytics and data strategy, manage client engagements, and oversee project budgets. The role requires strong technical skills in SQL and data modeling, along with business acumen in managing client expectations and relationships.
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