Top Remote Data Science Jobs in Santa Cruz, CA
Responsible for ensuring metrics consistency between operational teams and executive level business reporting. Collaborate on product and business problems, apply quantitative analysis to develop strategies, and measure the success of product efforts.
Develop and test pricing strategies for consumer lending products to optimize profitability. Build reporting pipelines, dashboards, and models to understand customer behavior and price elasticity. Present analyses to business leaders and continuously improve pricing models using machine learning software.
As a Senior Manager, you'll leverage your data science background to drive compliance monitoring data analytics initiatives and ensure compliance with ethical standards and regulatory requirements through advanced data analytics techniques.
The Senior Manager will leverage data science background to drive compliance monitoring data analytics initiatives, confirming compliance with ethical standards and regulatory requirements through advanced data analytics techniques.
Senior Manager role focusing on compliance monitoring data analytics initiatives, leveraging data science background to confirm compliance with ethical standards and regulatory requirements through advanced data analytics techniques.
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Develop predictive models and algorithms to analyze marketing outcomes across multiple channels. Provide analytical support for marketing and advertising campaigns. Work on data prep, model development, deployment, and maintenance to ensure accuracy.
Join the TIDAL Data Science & Analytics team to shape the future of streaming and artist products. Translate business questions into analysis questions, provide data-driven recommendations, lead experiments, and develop KPIs for product success. Remote-friendly role in the United States Eastern Time Zone.
Partner with business leaders to address challenges using predictive analytics, improve data quality, align analysis with strategic goals, and train statistical and machine learning models. Spot trends, publish insights at scale, and mentor team members.
A Data and Analytics Staff Consultant contributes as a team member on consulting projects, with a focus on building technical skills and providing effective training and knowledge transfer to clients. They are responsible for creating high-quality project documentation, refining business and technical requirements, and collaborating with engagement leads and stakeholders. The role requires strong communication skills and the ability to articulate the business value of technical solutions delivered to clients.
Play a major role in building next generation Large Language Models for Enterprise Language Generation at ServiceNow. Use AI/ML expertise to solve real-world challenges and collaborate with a team to deliver high-quality solutions.
As a Senior Data Operations Specialist at ServiceNow, you will play a significant role in evolving data services for AI and ML solutions, supporting the engineering team, and providing excellent customer support. You will troubleshoot data requests, understand the platform architecture, and ensure issues are resolved in a timely manner.
As a Staff Applied Research Scientist at ServiceNow's Advanced Technology Group, you will be working on building next-generation Large Language Models for Enterprise Language Generation to power the AI experiences on the NOW platform. Your responsibilities include solving real-world challenges using AI/ML expertise, proposing appropriate models, collaborating with a team, and delivering high-quality solutions.
Join the TIDAL Data Science & Analytics team to shape the future of streaming and artist products. Collaborate with cross-functional partners to drive data-driven decision-making and product success. Develop measurement strategies, lead experiments, and build self-serve dashboards for impactful analysis.
The Staff Data Scientist at Enigma will be responsible for translating customer goals into innovative solutions using machine learning and statistics. They will work in cross-functional teams with other data scientists, engineers, and product managers to improve the accuracy and usability of Enigma's product. The ideal candidate will have 6-8+ years of industry experience in statistics and distributed machine learning, as well as experience as a tech lead or manager of data scientists. Strong communication skills and an advanced degree in a quantitative discipline are preferred.
Top remote Companies in Santa Cruz, CA Hiring Data + Analytics Roles
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