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Top Data & Analytics Jobs in San Francisco, CA
As a Data Science Manager at ZS, you will lead the development of ML-based enterprise products, architect AI data products, solve complex problems with a hybrid team of scientists and engineers, and engage with clients to deliver transformative solutions. You will also contribute to recruiting and training talent, and shape firm strategy around AI.
As a Decision Analytics Associate Consultant, you will develop statistical models, utilize data analytics to aid decision-making, and create custom analyses tailored to client needs. You'll collaborate on projects to enhance client insights, maintain communications, and ensure quality checks while mentoring junior associates.
As a Decision Analytics Consultant in Supply Chain, you will work on impactful projects with leading companies, leveraging data analytics to solve supply chain challenges. You'll be responsible for analyzing complex data sets, collaborating with teams to develop solutions, managing project timelines, and contributing as a thought leader within the firm.
As a Credit Risk Policy Analyst at Square, you will manage chargeback risk for sellers, document and improve operational processes, and develop policies to enhance risk management. The role involves analyzing data, collaborating with various teams, and maximizing efficiency to ensure a positive seller experience.
As a Senior Credit Risk Analyst, you will develop credit strategies, perform A/B testing, and collaborate with various teams to optimize credit portfolio performance. Your expertise will help shape new product pricing strategies and enhance the evaluation frameworks for Square's credit ecosystem.
As a Staff Data Scientist at Square Banking, you'll analyze and develop strategies for loan products, collaborating with cross-functional teams to enhance product offerings and optimize user experiences, impacting the way businesses obtain funding.
The Sr Director of Business Analytics will lead a team in extracting insights from data to drive innovation and business growth. Responsibilities include mentoring team members, advising executives, optimizing user engagement, and ensuring data accessibility and reliability.
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The role involves leading lab-based investigations into the biology of immunogenicity, developing assays, and providing immunogenicity risk assessments. The scientist will work closely with interdisciplinary teams and manage junior scientists, guiding strategic and operational activities to enhance drug development through innovative techniques and data analysis.
The Scientist in Functional Genomics will lead high-throughput functional genomics projects to discover drug targets and biomarkers. Responsibilities include designing experiments, innovating workflows, collaborating with computational biology and drug discovery teams, and managing multiple projects while ensuring data quality and timely delivery.
The Director of Functional Genomics will lead the Functional Genomics team, focusing on high-throughput genomic technologies and collaborations with computational biologists and AI/ML scientists. Responsibilities include technology development, experimental design, data integration, and mentoring staff to drive drug discovery initiatives.
The Senior Machine Learning Modeler will develop statistical models to forecast business outcomes using machine learning techniques. Responsibilities include managing the end-to-end model development process and collaborating across teams to solve complex business problems and communicate findings to senior leadership.
As a Credit Risk Policy Analyst, you will document, improve, and monitor chargeback risk processes for Square, managing policies for credit agents and adapting strategies to better serve sellers. Your responsibilities will include analyzing data for performance monitoring and facilitating operational efficiencies, while fostering relationships across internal teams to address losses and improve processes.
The Staff Machine Learning Engineer will lead and shape the technical vision for Cash App's underwriting and credit solutions by architecting robust systems and mentoring engineers. Responsibilities include enhancing ML infrastructure, collaborating with cross-functional teams, and contributing to large-scale features tied to financial health and accessibility for customers.
The Staff Machine Learning Engineer will shape the technical vision for credit and underwriting platforms, providing architectural direction while actively coding to solve complex challenges. Responsibilities include mentoring engineers, refining distributed systems, and collaborating with cross-functional teams to enhance feature delivery and engineering excellence.
The Senior Machine Learning Engineer will design and maintain ML infrastructure, develop and deploy machine learning models, monitor performance, collaborate with teams, and mentor junior engineers at Kikoff, a consumer fintech startup focused on credit-building solutions.
As a Senior AI Engineer on the AI/ML team, you will design, implement, and maintain AI/ML pipelines, tune and evaluate models including LLMs, and build framework metrics for large-scale ML products. You will utilize diverse data for optimizing networks and ensuring flawless digital experiences.
In this role, you will develop and tune machine learning models, particularly focusing on deep learning and large language models. You'll design large-scale AI/ML pipelines, build evaluation frameworks, and collaborate with other AI engineers to optimize network performance through innovative solutions.
As a Senior Machine Learning Engineering Manager, you will lead a team developing and deploying machine learning models, collaborate with product and analytics teams, and oversee the design of system architectures and model evaluations. You will ensure AI's potential is leveraged across Atlassian's products and provide mentorship to emerging ML engineers.
The Director of Credit Risk & Analytics will strategize on risk assessment for applicants and ensure responsible lending practices. This role involves implementing analytical frameworks, compliance monitoring, and collaboration with multiple departments to enhance customer experience while managing loan portfolio performance.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
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