Top Hybrid Data Science Jobs in San Francisco, CA
Senior Applied Research Scientist role at ServiceNow's Advanced Technology Group. Responsible for building Large Language Models for Enterprise Language Generation. Collaboration with a team of developers, scientists, and engineers to develop AI solutions for customers.
As a Distinguished Architect at ServiceNow, you will lead AI initiatives, architect intelligent products using cutting-edge technologies like deep learning, large language models, and natural language processing. Collaborate with engineering and product teams, build elegant architectures, architect reusable components, influence leadership, perform competitive analysis, and share thought leadership in the AI industry.
Lead a team of Data Scientists and Machine Learning Engineers to create AI models that drive company growth. Define AI strategy, implement use cases, build predictive models, and teach business teams how to leverage them for decision-making.
As a Data Scientist at Roblox focusing on App Performance, you will work on enhancing the performance and reliability of the Roblox app by defining critical metrics, measuring impact, and using statistics and experiments to guide decision-making. You will collaborate with engineers, product managers, and leaders to create the best app experience for users across all devices.
The Senior Staff Data Scientist at SoFi will develop predictive models, perform monitoring, and contribute to loss forecasting and CECL models across various products. They will also collaborate with different teams, lead projects, and automate models and dashboards.
Staff Data Scientist role at a financial services company leading model development and performance monitoring for loss forecasting across various products. Responsibilities include data analysis, model automation, and collaboration with internal teams. Ideal candidate has 6+ years of experience with a Master's or PhD degree in a relevant field, proficiency in Python, SQL, and Tableau, and expertise in model development and data analysis.
Seeking a Principal Data Scientist with strong engineering skills to drive ML and AI capabilities across multiple teams. Responsibilities include hands-on development work, tech leadership, mentoring, and driving technical standards. Requires 8+ years of impactful experience in ML and AI implementation, deep hands-on experience with data products and infrastructure, and expertise in major technologies like Airflow, DBT, AWS, etc.
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Partner with the Trust organization to deliver insights about customers and identity systems using data. Build data visualizations, monitor metrics, and communicate findings to stakeholders.
Lead team projects and conduct bioinformatics analyses to solve complex scientific problems. Provide technical leadership and collaborate across teams. Mentor junior members of the team.
Snap Inc is seeking a Sr. Data Scientist to apply expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful insights for informed business decisions. Responsibilities include conducting machine learning analyses, collaborating with cross-functional teams, and driving data-driven product solutions.
GoodRx is looking for a Data Science Manager to join our data team. The ideal candidate is a team player with 5+ years of experience in data science, strong skills in Python, statistical analysis, predictive modeling, and machine learning. They should have prior experience managing data scientists and exposure to data-adjacent roles in engineering. A background in the healthcare/prescription drug space is a plus.
As a Data Scientist at IAS, you will drive innovative research within the data science team, collaborate with core research teams, develop automated ML systems, and collaborate with engineers for fraud solutions. You should have a PhD or master's in a quantitative discipline, 3-5 years of experience in analytical problem-solving using quantitative approaches and ML methods, expertise in Python, R, SQL, and a deep understanding of data flow and business outcomes.
Square is seeking a Senior Data Scientist for their Dashboard Analytics team to optimize growth and engagement across the Square ecosystem. The role involves conducting experiments, distilling data into insights, and influencing decisions with actionable recommendations. Responsibilities include partnering with the Dashboard team, building foundational metrics, implementing product event logs, and communicating analysis to high-level partners. Qualifications include 5+ years of analytics and data science experience.
As a Lead Applied Machine Learning Scientist at J.P. Morgan Chase, you will be responsible for developing machine learning models to detect and mitigate fraud risks in SMB payments. You will work on large datasets, collaborate with various teams, and drive the complete lifecycle of model development and deployment.
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