Top Data Science Jobs in Hartford, CT
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.
As a Staff Data Scientist, you will build complex models to enhance Underwriting and Operations by using advanced statistical techniques and machine learning. You will lead projects, communicate insights, and collaborate with technology partners, focusing on improving business efficiencies and developing tailored analytics solutions.
Lead a team of data scientists in delivering advanced statistical techniques and machine learning solutions for underwriting and operations. Collaborate with partners to drive analytics into products, enhancing decision-making and improving business outcomes. Present insights to executives and influence strategic decisions, while also guiding team development and recruitment efforts.
As a Staff Data Scientist, you will leverage advanced statistical techniques and machine learning to build models solving key business problems and improving distributor intelligence. Your role involves leading analytical projects, communicating insights to stakeholders, and mentoring junior team members in data science best practices.
The Senior Scientist will develop, validate, and implement analytical methods for assessing pharmaceutical materials, primarily using HPLC and UPLC. Responsibilities include method development, testing, documentation, and collaboration with multidisciplinary teams on drug candidates from discovery to commercialization, adhering to GMP and GLP regulations.
The Senior Field Applications Scientist will support sales by leveraging expertise in UV/VIS/NIR and Fluorescence technologies. Responsibilities include customer demonstrations, technical presentations, training, and providing feedback to product leaders. This role requires travel up to 50% and effective communication skills to address customer challenges.
The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.
The Senior Research Scientist will oversee and conduct systematic literature reviews and quantitative evidence synthesis studies, develop client-ready deliverables, manage project components, ensure timely delivery, and mentor junior staff while contributing to proposals and presentations.
The Data Annotation Specialist will review and label video data to support machine learning projects, maintain organized records, and ensure data quality standards. This part-time role offers flexible hours while contributing to improving products for dog owners.
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 Hartford, CT Hiring Data + Analytics Roles
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