Top Data & Analytics Jobs in Los Angeles, CA
The Senior Data Scientist will develop innovative auto pricing models and process telematics data for feature engineering. Responsibilities include mentoring junior scientists, collaborating with cross-functional teams, and presenting data-driven strategies to leadership. The role requires leading end-to-end data science projects and optimizing cloud-based environments.
The Senior Deal Desk Analyst at Komodo Health is responsible for managing deal operations, ensuring alignment with strategic goals, and optimizing deal structures. This role involves collaborating with sales, legal, and finance teams, establishing pricing strategies, and enhancing deal execution efficiency.
The Senior Data Engineer will develop and manage a robust data ingestion platform using Azure technologies and tools. Responsibilities include designing data pipelines, writing complex SQL queries, participating in agile ceremonies, and ensuring data quality and validation in the data warehouse.
The Senior Sales Strategy Analyst at Elastic will be responsible for end-to-end strategy and operations for Elastic's Solutions Architect organization. This role involves collaborating with various departments to enhance programs, analyze data, drive growth, and support sales efficiency. The ideal candidate will have 6+ years of experience in Sales Operations, Strategy, or similar fields in SaaS organizations.
The Sr. Operations Research Analyst will support DoD projects by analyzing business requirements, preparing project documentation, and leveraging IT consulting practices to ensure successful outcomes. Experience with Navy IT projects is highly desired.
As a Senior Product Data Analyst, you will support the Product organization by curating data, uncovering insights, and creating dashboards. You will own the Product Analytics data catalogue, improve data quality, align the team around key metrics, manage experiments, and analyze product experience changes for better outcomes.
As a Data Engineer, you will design and deploy data pipelines for processing and analyzing data, utilizing various machine learning techniques and software development to extract valuable insights. Responsibilities include modifying existing software, managing client data, and developing solutions for data wrangling.
Smarsh is seeking a Data Scientist who will analyze unstructured communication data to provide solutions for customers. The role involves developing machine learning models, conducting exploratory data analysis, and collaborating with various stakeholders to address data needs. The candidate should possess solid statistical knowledge and familiarity with data science principles and tools.
As a Senior Analytics Engineer at Tint, you will be responsible for designing and implementing data pipelines, optimizing data models, and collaborating with cross-functional teams to deliver insights efficiently. This role involves leading data initiatives, mentoring junior team members, and influencing data strategy and architecture to inform key business decisions.
Senior Data Scientist role with a focus on full stack data science. Responsibilities include improving precision/recall of clinical algorithms, developing customer-facing analytics, and growing data science infrastructure. Ideal candidate has 5+ years' healthcare data science experience, ML Ops skills, and a product-focused mindset. Compensation includes $170K to $200K base salary + equity.
Top Companies in Los Angeles, CA Hiring Data + Analytics Roles
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