Top Data & Analytics Jobs in San Diego, CA
The VP, Data Analytics will lead a centralized data analytics team, fostering collaboration across departments to establish data integrity and analytics excellence. Responsibilities include overseeing Analytics Engineering, Product Analytics, Business Intelligence, and Data Science functions, driving data-driven decision-making, and building an inclusive culture.
As a Data Engineer, you will design and deploy data pipelines for processing and analyzing data, utilizing various machine learning techniques and software development to extract valuable insights. Responsibilities include modifying existing software, managing client data, and developing solutions for data wrangling.
The Mixed Methods Research Analyst will support market research and message testing efforts by conducting qualitative and quantitative research. Responsibilities include developing surveys, analyzing data, conducting literature reviews, interpreting results, and preparing reports. The role requires collaboration with team members and managing multiple projects under tight deadlines.
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.
As an Automation Engineer, you will develop tools to help automate tasks, build proof-of-concept AI workflows, create a reusable component library, and optimize CI/CD pipelines while ensuring high uptime for automation APIs.
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.
As a Staff Software Engineer on the Marketing Data Science team, you will lead R&D for data science products, collaborate with engineering and product teams, support stakeholders, and educate colleagues on data science applications in marketing and advertising.
The Research Associate will be responsible for data-driven research and analysis, SQL-driven granular analysis, new product development, customer relationships, and product marketing. The role requires 2+ years of experience in equity research or management consulting-styled writing, a background in business analysis, and a passion for data-driven fundamental investing.
As a Senior Analytics Engineer at Tint, you will be responsible for designing and implementing data pipelines, optimizing data models, and collaborating with cross-functional teams to deliver insights efficiently. This role involves leading data initiatives, mentoring junior team members, and influencing data strategy and architecture to inform key business decisions.
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.
Top Companies in San Diego, CA Hiring Data + Analytics Roles
See All
All Filters
No Results
No Results
