Top Data Science Jobs in San Luis Obispo, CA
The Senior Data Scientist will develop innovative auto pricing models and process telematics data for feature engineering. Responsibilities include mentoring junior scientists, collaborating with cross-functional teams, and presenting data-driven strategies to leadership. The role requires leading end-to-end data science projects and optimizing cloud-based environments.
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The Lead Data Scientist at BlueLabs will oversee the design, implementation, and delivery of analytics products, manage a team, and ensure high-quality data processing, while collaborating with various stakeholders to innovate solutions and enhance project outcomes.
The Staff Applied Research Scientist will lead the implementation of research processes, oversee experiments, mentor team members, and help design the company's research roadmap, focusing on deep learning applications for media creation and editing.
Bluesight is seeking a Manager of Data Science & Analytics to lead a team in providing intelligence to product teams, building data products, and developing predictive models. The role involves analyzing data to reduce drug spend, increase medication safety, and maximize staff productivity in hospital pharmacies.
Bluesight is seeking a Manager of Data Science & Analytics to lead a team in providing intelligence to product teams, building data products, and creating predictive models to enhance medication management for healthcare providers. The role involves hands-on work with algorithms, data quality, automating reporting, and coaching the data science team. The candidate should have experience in data science, machine learning, visualization, SQL, AWS ML technologies, and data lakehouse architecture.
Smarsh is seeking a Data Scientist who will analyze unstructured communication data to provide solutions for customers. The role involves developing machine learning models, conducting exploratory data analysis, and collaborating with various stakeholders to address data needs. The candidate should possess solid statistical knowledge and familiarity with data science principles and tools.
Senior Data Scientist role with a focus on full stack data science. Responsibilities include improving precision/recall of clinical algorithms, developing customer-facing analytics, and growing data science infrastructure. Ideal candidate has 5+ years' healthcare data science experience, ML Ops skills, and a product-focused mindset. Compensation includes $170K to $200K base salary + equity.
The Research Scientist will conduct independent research for a News Platform, focusing on quality evaluation of documents and misinformation detection. Responsibilities include collaborating with product managers, designing experiments, analyzing data, and communicating solutions effectively with cross-functional teams. You will benefit from a fast-paced environment promoting meaningful contributions from day one.
The Data Scientist at Excella is responsible for using advanced statistical, algorithmic, machine learning, data mining, and visualization techniques to help advance and complete client projects. They must also effectively communicate complex quantitative analyses to management and executive level audiences.
As a Data Scientist focusing on AI at Candidly, you will work on designing, developing, and deploying AI-driven features that enhance our financial wellness platform. You will partner closely with the product and engineering teams to create solutions that leverage natural language processing (NLP) to optimize the user experience, improve engagement, and improve operational efficiencies. Responsibilities include product development, NLP, data strategy, model evaluation, research, stakeholder collaboration, and data storytelling.
Top Companies in San Luis Obispo, CA Hiring Data + Analytics Roles
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