Top Data & Analytics Jobs in Sacramento, CA
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.
The Principal Data Engineer will design and implement end-to-end data workflows for ML modeling, improve model performance, and enhance data processing frameworks. Responsibilities include creating standards and best practices, ensuring data accuracy, and collaborating with data scientists to meet data needs.
The Research Associate in Histology will handle daily histology operations, such as setting up and breaking down equipment, performing histological techniques, maintaining accurate records, and supporting research activities in a laboratory setting.
The Senior Data Scientist will lead the development and optimization of generative AI models for text, image, and other data types. Responsibilities include designing advanced models, conducting experimentation, collaborating with teams, and mentoring junior staff while staying updated on generative AI research.
The Staff Bioinformatics Scientist will develop algorithms and software solutions for genetic and epigenetic data analysis, applying machine learning and statistical methods to meet clinical application requirements. The role involves designing robust analytical workflows to automate studies in a product development environment.
The Strategic Market Insights Analyst conducts in-depth research and analysis on market trends and competitors, translating findings into clear reports and presentations for C-suite leaders. They collaborate with internal teams to develop strategic collateral, ensuring insights align with business objectives and facilitating informed executive decision making.
The Senior Data Analyst will facilitate strategic growth by analyzing marketing campaign performance, improving KPIs, and collaborating with leaders across functions. The role involves tracking ROI, conducting data deep dives, and optimizing marketing processes to enhance operational efficiency and inform investment decisions.
The Lead SAP MM Analyst supports SAP MM business applications, configures software, writes documentation, designs systems to fulfill complex business needs, estimates efforts for projects, and provides user training. This role involves problem-solving, project leadership, and maintaining standard methods for the team's work, while also participating in disaster recovery and change management initiatives.
The Sr. Analyst will conduct complex data analyses to support large hospital systems, focusing on financial aspects such as pricing and rebates. Responsibilities include analyzing provider data, identifying savings opportunities, communicating findings, and creating analytical reports.
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