Data Science & Machine Learning Jobs

CPL's UCLA site is a dynamic and growing organization with nearly 20 full-time employees, half a dozen graduate student researchers, and numerous faculty affiliates.. CPL has compiled an unparalleled holding of administrative datasets and the Data Analyst will have the opportunity to apply methodologies from econometrics, statistics, and data science to original research projects that can generate actionable insights to improve California's labor programs and policies.. They will be a highly skilled programmer with experience in manipulating and cleaning large administrative datasets in multiple programming languages including STATA and R. They will have a background or experience in implementing causal inference research designs and a familiarity with machine learning models is preferred.. The Data Analyst will be required to follow coding guidelines established by CPL and to contribute to the organization's efforts to build richly detailed documentation of the data we use.. The Data Analyst will report to CPL's senior research staff and will work collaboratively with CPL's Faculty Director, other CPL staff, and our partner agencies.

Working experience of any domain in areas including augmented reality (AR) and/or virtual reality (VR) technology,system design (EE, ME, power optimization), key components (optics, sensors), software stack (kernel, middleware, application), computer vision, machine learning, artificial intelligence deployments in either cloud or edge.. Get notified about new Product Marketing Manager jobs in Santa Clara County, CA. Product Marketing Manager (Innovation Center). Senior Product Marketing Manager, User Acquisition. Sr. Product Marketing Manager, Amazon Ads

Sleeper is one of the fastest–growing sports platforms in the US. We build free‐to‐play fantasy titles and real‐money Daily Fantasy Sports (DFS) games across the NFL, NBA/WNBA, MLB, NHL, EU football, and more.. Feature engineering & model tuning – Own the pipelines that transform raw bet, player, and market data into features for our pricing and exposure models (BigQuery + SQLX, Python, Pandas).. Fluent in Python, SQL, and modern ML tooling (scikit‐learn, XGBoost, Airflow or similar).. Familiar with sports data and the economics of fantasy / sportsbook markets; plus if you’ve built pricing or risk models.. Experience with BigQuery, Looker, dbt, or similar analytics stacks.

We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Hulu. ESPN. ABC. ABC News. 3+ years of big data development experience with technical stacks like Spark, Flink, Airflow, Singlestore, Kafka and AWS big data technologies.. Hands-on experience with Databricks for development and deployment of data pipelines. Demonstrated ability with cloud infrastructure technologies, including Terraform, K8S, Spinnaker, IAM, ALB, and etc.

Sleeper is one of the fastest–growing sports platforms in the US. We build free‐to‐play fantasy titles and real‐money Daily Fantasy Sports (DFS) games across the NFL, NBA/WNBA, MLB, NHL, EU football, and more.. Feature engineering & model tuning – Own the pipelines that transform raw bet, player, and market data into features for our pricing and exposure models (BigQuery + SQLX, Python, Pandas).. Fluent in Python, SQL, and modern ML tooling (scikit‐learn, XGBoost, Airflow or similar).. Familiar with sports data and the economics of fantasy / sportsbook markets; plus if you’ve built pricing or risk models.. Experience with BigQuery, Looker, dbt, or similar analytics stacks.

Cloud DevOps / Site Reliability Engineer, Applied Machine Learning. Apple’s Applied Machine Learning team has built systems for a number of large-scale data science applications.. Our teams use the latest in open source technology and as committers on some of these projects, we are pushing the envelope!. Build & support CI/CD tools to port & manage applications on AWS & Kubernetes. Deploy & support applications on Kubernetes environments – On-prem K8s, AWS EKS

At HeyGen, our mission is to make visual storytelling accessible to all.. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences.. As a Data Infrastructure Engineer, you will lead the development of fundamental data systems and infrastructure.. Collaborate with data scientists and machine learning engineers to understand their computational and data needs and provide efficient solutions.. Familiarity with AI and machine learning frameworks like TensorFlow or PyTorch.

Hulu. ESPN. ABC. ABC News. At our core is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization.. Strong background in big data technologies such as Spark, Flink, and Airflow. Hands-on familiarity with Databricks for collaborative data development and operations. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family.

Hulu. ESPN. ABC. ABC News. At our core is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. Our team is seeking a software engineering manager who will lead an engineering team within the Ads Data team. Strong background in big data technologies such as Spark, Flink, and Airflow.. Hands-on familiarity with Databricks for collaborative data development and operations

With more than 2,800 locations nationwide, Public Storage is the leader in the self-storage industry, and given our number of tenants, we may very well be the world's largest landlord.. Builds repo and maintains a library of models that can be applied/refactored on similar design patterns. Owns the Confluence knowledge repository and GitHub model repo. Proficiency with programming and scripting languages: Python/R, SQL and C#/. About the company Public Storage built its first self-storage facility in 1972.

Per Legal Times (2023): "A Preferred Law Firm for In-house Lawyers".. National "Tier 1" in Patent Law.. Seeking a registered Patent Attorney or Agent with a Bachelor’s degree or graduate degree (MS/PhD) in Computer Science, Electrical Engineering, Data Science, Physics, or related technical field involving AI/ML. Experience with AI models, neural networks, and deep learning is required.. Domain experience in autonomous vehicles, robotics, natural language processing, wireless communications, computer vision, or related AI fields is preferred.. The candidate should be registered to practice with the USPTO; attorney candidates should also be an active member and in good standing of their home office bar or eligible to waive into the appropriate bar.

Broad technical foundation in software engineering and deep learning (through self-study, practical experience, or PhD).. ML: knows the theory and applied side of deep learning, especially computer vision and foundational model architectures (PyTorch, OpenCV, Tensorflow).. Backend: experience designing and building scalable and high availability server-side systems (Python, NodeJS, or Golang).. Cloud: familiarity with DevOps and infrastructure (i.e. Docker, Kubernetes, GPU scheduling) on cloud (i.e. GCP, AWS).. Monitoring: experience with logging systems and monitoring tools such as DataDog, Sentry, and/or CloudWatch.

You will develop programs using coding languages (e.g., Python, SQL, PROC SQL, R) and/or low-code environments (e.g., Palantir Foundry) to create analyses and applications for stakeholders across the organization.. Additionally, you will perform data mining activities to derive insights, work with cloud OLAP systems (e.g., Snowflake), and stay current on new and emerging data science, data engineering, and big data techniques.. Certifications such as Palantir Foundry Data Engineer, Azure Data Engineer, Certified Data Management Professional, SnowPro Advanced, etc.. Experience building and maintaining APIs and ETL pipelines using tools like Python, SQL, Apache Airflow, Azure Data Factory, etc.. Familiarity with platforms such as Palantir Foundry, Snowflake, SAP, Oracle.

Utilize SQL and programming languages for data science (including Python and R), and numerical and scientific libraries used for statistics and machine learning (including Pandas, NumPy, SciPy, and scikit-learn).. Transform and analyze large scale data with modern cloud computing platforms (including SparkSQL, BigQuery, Snowflake, and Redshift).. Train and build production level models in cloud environments (including AWS and Azure) using orchestration software (including Metaflow and Airflow).. MINIMUM REQUIREMENTS : Bachelor's degree or U.S. equivalent in Mathematics, Statistics, Computer Science, or a related field, plus 5 years of professional experience as a Data Scientist, Decision Scientist, or any occupation/position/job title involving data science, machine learning, and experimentation.. With more than 300 million tickets available annually on our platform to events around the worldfrom sports to music, comedy to dance, festivals to theaterStubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences.

The advisor will develop programs using coding languages (i.e. Python, SQL, PROC SQL, R) and/or low code environments (i.e., Palantir Foundry) to create analyses and applications for stakeholders throughout the company.. Additionally, the candidate will perform data mining activities to derive insights, work with cloud OLAP systems (e.g., Snowflake), and keep abreast of new and current data science, data engineering, and big data techniques.. Preferred Qualifications Additional certifications such as Palantir Foundry Data Engineer, Azure Data Engineer, Certified Data Management Professional, SnowPro Advanced, etc.. Demonstrated experience building and maintaining APIs and ETL pipelines using tools like Python, SQL, Apache Airflow, Azure Data Factory, or similar platforms. Familiarity with systems like Palantir Foundry, Snowflake, SAP, Oracle or similar platforms

Deliver at least two full-cycle LLM/GenAI projects including model selection/customization (e.g., GPT, LLaMA, Falcon), prompt engineering, fine-tuning, RAG implementation, and production deployment. ML/LLM frameworks: scikit-learn, PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex.. Focused Learning and Development: Grow as a leader with our dedicated Learning and Organizational Development department, offering extensive resources like People Manager and leadership training, webinars, and eLearning courses. Building a Healthy Society: To date, our co-Founders Lynda and Stewart Resnick, through their foundations and The Wonderful Company, have invested more than $2.5 billion in education, health and wellness, community development, and sustainability initiatives across California’s Central Valley, Fiji, and the world. The Wonderful Company’s connection to consumers has health at its heart and giving back in its DNA. The company has a long-standing commitment to corporate social responsibility, including more than $1 billion invested in environmental sustainability; $65 million in charitable giving, education initiatives, and innovative health and wellness programs each year; and $143 million toward the construction of two charter school campuses in California’s Central Valley.

This role involves designing, developing, and deploying cutting-edge generative models to support creative, architectural, and experiential design workflows across Disney’s themed entertainment portfolio.. You will report to the Associate Lab Director and contribute to the AI/ML research strategy for Imagineering R&D.. Proficiency in machine learning libraries (e.g., PyTorch, TensorFlow) and programming languages such as Python and C. Experience working with 3D asset creation and rendering tools (e.g., Blender, Unreal Engine, Unity, Houdini).. Experience integrating animation systems into real-time engines (e.g., Unreal Engine with Control Rig, Unity with Mecanim or custom solutions).

Lead the Data Science organization with vision and empathy.. Trained researcher with a doctorate in a quantitative field.. Technical knowledge of ad-tech and / or data licensing industries.. Solid understanding of predictive analytics, mathematical modeling, and statistics (theory, algorithms, and application).. For Colorado-based employment : The target salary range is $xx,xxx - $xx,xxx.

We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system.. BA / BS degree business, computer science, statistics, applied mathematics, or any scientific or computational degree. Expertise with analytics tools, data visualization, SQL, R, or Python as applied to data science and analytics. Masters or PhD in computer science, statistics, applied mathematics, or any scientific or computational degree. Assistant Director, Student Success Dashboard Data Scientist Los Angeles, CA $55,000.00-$75,000.00 2 weeks ago

Senior Data Science Manager, Ads Marketplace Remote - United States. We are looking for a results-oriented and strategically minded Data Science leader to work with our Ads Marketplace Engineering & Product teams to provide a richer ads experience to users while optimizing for performance and marketplace health.. A successful leader will drive the development of self-serving tools for advanced analytics founded on robust data science methodologies.. Drive analytics/data science projects end-to-end in partnership with Product, Engineering, and other partners to inform product strategy and investment decisions.. PhD or Master's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields (If M.S. degree, a minimum of 8+ years of industry data science experience required; If PhD degree, a minimum of 6+ years of industry data science experience required).