Top Data Science Jobs in Los Angeles, CA
As a Revenue Operations Analyst II, you will enhance merchant lifecycle processes through automation, manage cross-functional initiatives, and develop scalable reporting solutions. You will also collaborate with various teams to improve Salesforce features and support growing revenue teams with training and resources.
.png)
As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.
As a Senior Data Scientist at Spring Health, you will work with the Customer Experience team to build data products, analyze member mental health journeys, and provide actionable insights to enhance customer satisfaction and product value. Your role involves collaborating with internal teams and implementing AI/ML capabilities to improve mental health care solutions.
The Research Scientist, Personal Loans role involves deploying and training machine learning models in a fast-paced environment. You will work within a team that values curiosity and teamwork, focusing on building models that evaluate applicant risk for personal loans and contribute to the company's success.
The Senior Data Scientist, Data Products role involves leveraging data to enhance product creation and strategy through collaboration, automated systems, quality metrics, and ad-hoc analysis. Responsibilities include creating insights and applying the latest technology trends while leading projects independently.
.png)
As a Senior Data Scientist at Pie, you will develop best-in-class AI/ML solutions for commercial insurance, focusing on pricing, underwriting, and claims models. Collaborating with multiple teams, you'll enhance data-driven decision-making, conduct model diagnostics, and support deployment and automation of scalable ML pipelines that meet real business challenges.
As a Senior Revenue Operations Analyst, you will oversee sales process planning and optimization, ensuring data accuracy in Salesforce and improving revenue operations. Key responsibilities include opportunity management, data analysis, and reporting, collaborating with sales and IT teams to enhance processes and outcomes.
Sr. Data Scientist, Analytics - Ads role at Quizlet, working on building an amazing ads product for users and advertisers by leveraging insights from ads and user engagement data. Responsible for A/B testing, presenting insights, informing product roadmap, and collaborating with cross-functional teams.
As a Revenue Compensation Analyst, you will manage sales compensation plans, calculate commissions and bonuses, and maintain documentation. You will assist in developing communication policies and be the expert on plan calculations while responding to inquiries about compensation mechanics.
The Staff Data Scientist on the Anti-Cheat team will develop models and maintain automated systems to detect and mitigate cheating in games. Responsibilities include analyzing challenges, designing feature sets, mentoring junior staff, optimizing ETL pipelines, and collaborating with stakeholders and data engineers.
As a Data Science Manager at League Studio, you will lead a team to drive data science projects focused on enhancing player experiences. Responsibilities include team leadership, project management, stakeholder communication, and ensuring high standards of data science delivery. You will mentor team members and foster a collaborative environment while aligning with organizational goals.
Top Companies in Los Angeles, CA Hiring Data + Analytics Roles
See All
.png)
All Filters
No Results
No Results
