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Top Data Management Jobs in San Francisco, CA
Big Data • Cloud • Productivity • Software • Database • Analytics • Automation
The Data Science Director for Product Analytics will lead a team of data scientists and engineers to develop product-related metrics and insights, deliver self-service analytics, and support reporting efforts for executives. Additional responsibilities include building analytics infrastructure and promoting effective data usage across the company.
Top Skills:
Data Science
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
The Director of Data & Analytics at Wipfli leads the firm’s data strategy, ensuring effective data management and governance. They collaborate with leadership to define and maintain the analytics vision, establish metrics and KPIs, oversee data quality, and guide data stewardship and AI initiatives. This role involves managing a team to unlock the value of data for strategic decision-making and operational efficiency.
Top Skills:
Business AnalyticsComputer ScienceData Science
Big Data • Fintech • Mobile • Payments • Financial Services
As a Manager on the Revenue Analytics team, you'll drive the growth strategy for a Revenue segment by providing analytical insights, establishing KPIs, and optimizing decision-making processes. Your role will involve collaborating with internal and external stakeholders, producing actionable recommendations, and leading projects from start to finish.
Top Skills:
PythonSQL
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Artificial Intelligence • Cloud • Internet of Things • Machine Learning • Analytics • Industrial
As a Part Time Student in Quality/Data Analytics, you will identify and analyze information to support issue resolution, develop tools for data analysis, participate in development assignments, and adhere to project plans and schedules.
Top Skills:
Data Analysis
Consumer Web • eCommerce • Food • Healthtech • Natural Language Processing • Social Impact
The Data Applications Manager will lead the development and implementation of data integration strategies and operational reporting solutions. The role requires managing enterprise-level systems and ensuring seamless data ecosystem performance while overseeing technical team management and stakeholder engagement.
Top Skills:
PythonSQL
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Hardware • Information Technology • Security • Software • Cybersecurity • Conversational AI
As Director of Data Science and AI at Cisco Meraki, you will lead a growing team to apply quantitative methods and develop machine learning models that enhance customer value and drive product development. Your role will involve strategizing AI use cases, overseeing AI/ML solution deployment, and improving data infrastructure in collaboration with various partners across the organization.
Top Skills:
Machine Learning
Cloud • Internet of Things • Agriculture
Lead the Data Science team, solving complex problems in agriculture using hands-on modeling and ML solutions. Develop predictive services, manage data quality, and collaborate with product management while building a high-performing team.
Top Skills:
Python
Logistics • Robotics
The Data Specialist will analyze operational statistics in a robotics project focused on baggage handling systems. Responsibilities include developing classification methodologies, operational modeling, and collaborating with engineering teams to optimize robotic system performance.
Top Skills:
Python
Consulting
The eDiscovery Associate will apply expertise in forensic data processing, predictive analytics, and technology consulting to enhance case strategies, manage ESI, and mitigate risks throughout the eDiscovery lifecycle. Responsibilities include workflow design, quality control, and collaborative problem-solving with clients.
Top Skills:
Data ScienceMachine LearningPredictive Analytics
Fintech • Information Technology • Payments
The Senior Director of Machine Learning in Data Solutions and Products will lead AI/ML teams to develop innovative solutions utilizing extensive transaction data to address merchant challenges. Responsibilities include guiding technical roadmaps, coaching team members, establishing operational standards, and collaborating across departments to enhance system performance and scalability.
Top Skills:
Python
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