Top Hybrid Data Science Jobs
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.
Featured Jobs
.png)
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.
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.
The IT Data/Business Analysis Sr Specialist at CNA will analyze data, create reports, and lead project teams to address business needs. Responsibilities include formulating systems scope, managing project resources, and collaborating with stakeholders to define deliverables. A strong understanding of the insurance industry and data analytics is crucial.
As a Lead Data Scientist at Brigit, you'll develop and maintain models to assess credit risk, optimize marketing spend, and reduce customer churn. You'll leverage rich data sources, collaborate with product and engineering teams, and utilize machine learning techniques to enhance financial services for customers living paycheck to paycheck.
As a Senior Data Scientist, you will lead the creation of statistical and machine learning models, design experiments, analyze product performance, and collaborate with various teams to enhance AI product offerings. Your insights will drive strategic decisions and improve messaging strategies based on data-driven conclusions.
Sr. Data Scientist, Analytics - Ads role at Quizlet, working on building an amazing ads product for users and advertisers by leveraging insights from ads and user engagement data. Responsible for A/B testing, presenting insights, informing product roadmap, and collaborating with cross-functional teams.
The Data Scientist will create analytical tools and products, working with clients to develop insights and improve business results. Responsibilities include client collaboration, developing predictive models, validating existing models, and managing multiple projects.
The Senior Analyst, Data Science conducts data analysis to identify trends and derive insights that drive revenue generation. Responsibilities include managing large datasets, ensuring data quality, developing dashboards, and collaborating with stakeholders. The role emphasizes continuous improvement and effective problem-solving using analytical skills and data visualization tools.
Top hybrid Companies Hiring Data + Analytics Roles
See All
All Filters
No Results
No Results
