Top Data Science Jobs in San Diego, CA
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 Bioinformatics Scientist II will analyze complex clinical DNA sequencing and epigenetic data, develop biomarkers for oncology products, apply statistical methods, and support regulatory submissions. The role also involves scripting and leveraging AI methods for efficiency, alongside the dissemination of research findings through reports and presentations.
As a Credit Analyst II, your primary responsibilities include analyzing financial documents to evaluate the creditworthiness of loan applicants, preparing credit reports, making underwriting recommendations, and collaborating with colleagues to communicate decisions and address inquiries.
As a Credit Analyst I at Mulligan Funding, you'll evaluate the creditworthiness of commercial loan applicants by analyzing financial documents and credit reports. Collaborating with colleagues, you'll help summarize underwriting recommendations and communicate decisions to applicants while enhancing your skills in risk assessment and financial analysis.
The Principal Scientist in Technology Transfer will lead initiatives to improve processes, products, and cost efficiency by working with various departments. Responsibilities include transferring workflows from R&D to manufacturing, designing experiments for product stability, setting quality criteria, and ensuring customer-focused product development.
As a Principal Data Scientist II (AI), you will shape AI strategies and develop innovative AI solutions. Responsibilities include defining AI architecture, collaborating with data scientists, integrating AI capabilities across the platform, providing technical leadership, and driving product innovation.
The Machine Learning Research Scientist will develop and research state-of-the-art NLP models to enhance market research. The role involves predictive modeling, algorithm development for large-scale applications, and effective communication of technical concepts to non-technical stakeholders.
The role involves developing and executing biomarker strategies for early clinical development, utilizing advanced bioanalytical methods and collaborating with interdisciplinary teams. Responsibilities include analyzing clinical samples, optimizing assays, and maintaining thorough documentation to support clinical trials.
Top Companies in San Diego, CA Hiring Data + Analytics Roles
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