Top Senior Data Scientist Jobs in Los Angeles, CA
As a Senior Data Scientist specializing in Transformational AI at ServiceNow, you will research, evaluate, and experiment with the latest AI tools, adapt new technologies to address complex business challenges, develop prototypes, create and prepare datasets, implement automated feature engineering, and communicate findings to stakeholders.
Leverage organizational data to generate insights, improve user experiences, and optimize business functions through predictive and prescriptive models. Collaborate with various teams to deploy and maintain models in production environments. Communicate results to stakeholders and contribute to the company's mission of positively impacting lives.
The Senior Data Scientist role at Launch Potato involves developing deep personalization models and complex optimization algorithms to enhance customer experiences and drive revenue. Responsibilities include strategic planning of Machine Learning initiatives, designing and overseeing the integration of machine learning solutions, and collaborating with cross-functional teams to improve model infrastructure. Success in this role is measured by innovating ML solutions, collaborating with stakeholders, providing data science support, and being hands-on in solution implementation.
The Senior Data Scientist at Sensor Tower will leverage digital advertising and industry knowledge to drive strategies that improve the accuracy and offerings for our Digital Marketing insights solution. The role involves developing data modeling algorithms, working on AI projects, and acting as a subject matter expert for digital advertising.
Lead Data Scientist role at Disney's Direct to Consumer (DTC) team focusing on machine learning, statistical analysis, data visualization, and model development to drive user retention and preferences across Disney+, Hulu, and ESPN+. Collaborate with cross-functional teams to provide insights that influence user experiences globally.
Lead Data Scientist responsible for leading data science projects around consumer pricing, incentives & offers, and insurance. Providing mentorship, building forecasting systems, and supporting technical roadmap to enhance team capabilities.
GoodRx is seeking a Lead Data Scientist to lead data science projects around consumer pricing, incentives & offers, and insurance. The role involves building forecasting and optimization systems that directly impact pricing for customers and partners. The ideal candidate has 6+ years of data science experience with a strong technical contribution background and expertise in machine learning algorithms, Python, and AWS.
Ontra is seeking a Staff Data Scientist to lead data projects that provide business value and inform product development and strategy using advanced data methodologies and machine learning techniques. The role involves influencing product development, democratizing data insights, informing strategy, and serving as a subject-matter expert and technical mentor within the organization.
Featured Jobs
Data Science Manager responsible for developing and executing analytic techniques on large data sets to help clients make better decisions in the Supply Chain & Manufacturing space. Key responsibilities include project management, client engagement, business development, team leadership, and thought leadership.
Seeking a Senior Data Engineer with 7+ years of experience in data engineering to define the next stages of maturity in data platforms, focusing on building and scaling Machine Learning pipelines. Responsibilities include collaborating cross-functionally to deliver data solutions driving product growth and innovation.
Seeking a Data Scientist to lead the development of predictive models for Customer Lifetime Value (LTV) and Churn in a Growth Marketing context. Responsible for analyzing large datasets, extracting insights, and optimizing marketing strategies. Must have strong programming skills in Python or R, and experience with statistical modeling and machine learning algorithms.
Advanced Data Science Associate Interns at ZS design and execute high-impact analytics solutions for large, complex data sets to help clients make fact-based decisions. They develop advanced algorithms, execute statistical techniques, collaborate with clients, and contribute to evaluating emerging datasets and technologies.
As a Data Science Associate Consultant at ZS, you will develop advanced algorithms, utilize statistical techniques, collaborate with clients, assess new technologies, contribute to thought leadership, and provide mentorship. Requires a PhD or master's degree with 3-5 years of relevant experience, proficiency in programming languages, knowledge of big data concepts, and agile project management skills.
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Artera is seeking an Analytics Engineer to join their Data team, responsible for revamping and implementing the Looker platform, enhancing data visualization capabilities, and addressing legacy issues in the system. The role involves building dashboards, data modeling, collaborating with CX teams, improving performance, and documenting processes.
As a Data Science Intern at Dropbox, you will work closely with data scientists to analyze business metrics, develop experiments, and extract actionable insights for revenue, marketing, and product teams. You will collaborate with cross-functional teams and receive mentorship to enhance your skills and network.
As a Data Engineer I at GumGum, you will design, implement, and support ETL pipelines, handle large-scale data ingestion, collaborate with product teams, own and scale core data pipelines, generate reports, work on PoCs, and enhance reports in Looker under mentorship.
The Senior Data Engineer will be responsible for designing and developing data pipelines, collaborating with ML and data practitioners, building tooling and services, and working on multi-faceted projects in an Agile environment.
Join our SAP Data and Analytics practice to help clients maximize their SAP investment. Responsibilities include conducting blueprint/design workshops, data mapping, gap analysis, and more to enhance data management and governance processes.
Analyzing data to drive useful insights for clients, using visualization, statistical and analytics models, AI/ML techniques, ModelOps, and other strategies. Leading the design and development of Contact Center AI and Technology solutions to improve customer engagement and satisfaction, reduce costs, and increase efficiency. Mentoring a team of AI consultants, data scientists, designers, and developers.
Seeking a Data Engineer to design, build, and maintain efficient data pipelines, manage the data warehouse, optimize data flows, and deliver high-quality, accurate data to support business operations and analytics. Responsibilities include ETL pipeline implementation, data warehouse architecture development, data validation, monitoring data pipelines' performance, resolving data-related issues, and collaborating with cross-functional teams.
As a Senior Data Engineer at Anduril Industries, you will lead the design and implementation of data pipelines and models to support the deployment of advanced defense technology worldwide. This role involves collaborating with various teams to shape the data platform vision and drive business growth through valuable data products.
Develop and optimize big data pipelines, design multi-tenant data warehouse, perform root cause analysis, create data transformation processes, and build scalable data pipelines using various technologies. Requires BS in Computer Science and 5+ years of experience in data engineering with proficiency in Python and SQL.
Work as a Senior Associate in Data and Analytics services, focused on driving business results using data analytics, visualization, and AI/ML techniques. Responsible for analyzing data to provide insights and strategic outcomes for clients. Must have 4 years of experience and a Bachelor's degree in Linguistics, Computer and Information Science, or Engineering.
Join the Streaming Organization's Data Engineering team at Magnite to work on handling internet-scale data problems, architect and build systems to process data volume, and promote a culture of collaboration and mentorship. Responsibilities also include end-to-end ownership of the team's data pipeline and addressing challenges related to highly-scalable infrastructure and cost optimization.
As a Data Engineer at Anduril Industries, you will lead the design and implementation of data pipelines and models for next-generation defense technology. Collaborate with stakeholders to shape the data platform vision, ingest data sources, and drive valuable data products for the business. Essential skills include Python, Spark, PySpark, SQL, dbt, Tableau, and experience with Enterprise Data Systems like Palantir Foundry.
Top Los Angeles, CA Companies Hiring Senior Data Scientists
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