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Top Data & Analytics Jobs in San Francisco, CA
As a Machine Learning Engineer at Cisco ThousandEyes, you will design, implement, and maintain large-scale AI/ML pipelines. This includes tuning and evaluating deep learning models, creating evaluation frameworks, and utilizing a variety of machine learning models, including transformer and traditional models for enhanced digital experiences.
The Data Scientist will lead growth analytics to drive user acquisition and marketing efficiency, employing statistical analysis and experimentation designs. Key tasks include customer journey analysis, attribution modeling, data reporting, and communicating insights to stakeholders.
As a Data Scientist at Kikoff, you'll collaborate with cross-functional teams to drive product development by using analytical skills to address challenges. Your role involves shaping product strategies, conducting rigorous analyses, and effectively communicating insights to influence stakeholders.
As a Program Analyst Banker, you will collaborate with a team to provide tailored financial recommendations to clients, prepare essential meeting materials, conduct in-depth research, and manage client communications. This role requires developing customized financial strategies, analyzing client objectives, and preparing for promotions based on performance during the two-year Analyst Program.
The Applied AI ML Director will lead the development of ML infrastructure and tools, enhance model performance, mentor engineers, and align ML projects with business goals, ensuring seamless collaboration across teams.
As an Analyst in M&A at J.P. Morgan, you will execute transactions, support due diligence, build financial models, draft presentations, and liaise with clients and advisors. You will team with senior bankers to develop skills in investment banking and contribute to capital raising efforts.
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As a Data Science PhD Intern at Roblox, you will collaborate with teams to develop advanced data analytics and machine learning solutions. Your work will focus on addressing complex data challenges and impacting product innovations. You will also present findings to various stakeholders, enhancing the data-informed decision-making process.
The Data Scientist/Senior Data Scientist will build scalable data solutions, perform data analysis, manage analytical data roadmaps for user growth, and collaborate with product managers and data scientists to drive business growth through insights and strategy.
The Senior Data Scientist will work within the Engine Security team, focusing on safeguarding Roblox users from malicious behavior. This role involves analyzing data related to exploiters, defining KPIs, measuring impacts of product launches, and improving data practices. Strong collaboration with technical teams is essential.
Lead the Model Engineering team, creating tools and services for developing and deploying machine learning models in a high-availability, low-latency environment. The role involves providing technical direction, partnering with stakeholders, mentoring team members, and fostering an innovative team culture, all while focusing on continuous improvement of the ML infrastructure.
The Senior User Researcher at Academia.edu will lead user research projects and collaborate with product teams to identify user needs and inform product strategy. Responsibilities include planning and executing both qualitative and quantitative research, generating actionable insights, and presenting findings to stakeholders. The role requires building user empathy and guiding non-researchers in conducting research effectively.
As a Senior Business Analyst at Academia.edu, you will identify growth opportunities through data analysis, inform product strategy, define metrics, and drive decision-making. You will collaborate within a cross-functional team to tackle challenges in the academic publishing market, utilizing your analytical expertise to impact business success.
This role focuses on leading AI and Generative AI projects, managing teams to develop analytical models, and transforming business processes. Responsibilities include collaborating with clients, mentoring team members, and architecting AI solutions. The manager will uphold professional standards and drive innovative delivery to meet client expectations.
The Compliance Analyst will assess global compliance risks and controls, perform gap assessments, conduct testing of compliance controls, document results, report findings, and track remediation efforts. The role involves developing methodologies and monitoring compliance landscapes while collaborating with various stakeholders and providing training.
As Chief of Staff for Enterprise Data, you will partner with leadership to drive strategy, manage projects, and collaborate with stakeholders across the organization. Your role focuses on ensuring efficient operational processes and fostering a positive, engaged workplace culture.
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The Senior Analyst, Revenue Analytics at Navan will design and build sales reporting tools, collaborate on analytic projects, support business review processes, and analyze operational metrics for the field sales team. The focus will be on enhancing efficiency and guiding business decisions through data insights.
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