Top Data Science Jobs in Charlotte, NC
The Research Scientist, Personal Loans role involves deploying and training machine learning models in a fast-paced environment. You will work within a team that values curiosity and teamwork, focusing on building models that evaluate applicant risk for personal loans and contribute to the company's success.
The Senior Data Scientist, Data Products role involves leveraging data to enhance product creation and strategy through collaboration, automated systems, quality metrics, and ad-hoc analysis. Responsibilities include creating insights and applying the latest technology trends while leading projects independently.
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As a Senior Data Scientist at Pie, you will develop best-in-class AI/ML solutions for commercial insurance, focusing on pricing, underwriting, and claims models. Collaborating with multiple teams, you'll enhance data-driven decision-making, conduct model diagnostics, and support deployment and automation of scalable ML pipelines that meet real business challenges.
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As a Senior Revenue Operations Analyst, you will oversee sales process planning and optimization, ensuring data accuracy in Salesforce and improving revenue operations. Key responsibilities include opportunity management, data analysis, and reporting, collaborating with sales and IT teams to enhance processes and outcomes.
The Senior Data Scientist will lead data analysis and model development projects within the Data Science team, involving the design and deployment of predictive models and machine learning algorithms. Responsibilities include executing data science strategies, collaborating with stakeholders, validating models, and communicating insights effectively.
As a Senior Data Science Consultant, you'll collaborate with clients to understand their data needs, analyze large datasets, and build predictive models. You'll also contribute to internal Data Science projects and communicate insights through various mediums while proposing strategic solutions to business challenges.
As a Senior Data Scientist at RVO Health, you'll design, implement, and maintain recommendation systems while collaborating with business stakeholders. You will focus on model development, optimization, and effective communication of complex data science concepts, contributing to decision-making and project execution in a hybrid work environment.
The Data Scientist is responsible for applying data science principles and methods to solve complex problems and deliver actionable insights. Key responsibilities include using statistical and algorithmic techniques, managing R&D processes, and communicating insights to stakeholders. The role emphasizes collaboration, autonomy, and innovation in crafting data-driven solutions.
The Quantitative Scientist will be responsible for data cleaning, modeling, inference, and interpretation. They will leverage expertise in biostatistics, epidemiology, and data science to support commercial projects and internal research, working closely with clinical data from electronic health records to solve complex real-world problems.
As a Data Scientist at Zelus Analytics, you will perform data modeling and quantitative analysis, develop and validate statistical models, collaborate with engineering for model implementation, and support research projects aimed at enhancing player and team performance.
Top Companies in Charlotte, NC Hiring Data + Analytics Roles
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