Data Science & Machine Learning Jobs

Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle).. Familiarity with big data technologies such as Hadoop, Spark, and Kafka.. Experience with data integration tools and platforms (e.g., Talend, Apache NiFi).. Knowledge of cloud-based data solutions (e.g., AWS, Azure, Google Cloud Platform).. Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).

The Postdoctoral Scientist in the Dou Lab at Cedars-Sinai will create and lead research to improve translational cancer research by leveraging clinical and image data.. In the Dou Lab we use advanced data science methods, including artificial intelligence and machine learning, to investigate the use of multimodal medical image data, including but not limited to CT and MRI, as well as electronic health records (EHR) to improve the cancer clinical decision making.. The successful candidate will have access to the rich and unparalleled resources at Cedars-Sinai Cancer.. You will work closely with Dr. Dou and a collaborative research team focused on using artificial intelligence (AI) and machine learning (ML) to interpret multimodal imaging (CT, MRI) and electronic health record (EHR) data to improve cancer care and decision-making.. Business Entity : Cedars-Sinai Medical Center

Projects include strategic decision support, content portfolio management, merchandising, acquisition & licensing, release strategy optimization, and churn & subscriber health.. Use your indepth knowledge of code efficiency, optimization and refinement to help streamline our complex statistical model products that predict future slate content engagement and lifetime value of new and existing subscribers. Apply advanced analytics techniques (data mining, data visualization, statistical analysis, causal inference, regression, machine learning, time-series forecasting) to large-scale, high-dimensional data in order to inform global business decisions. Familiarity with data exploration and data visualization tools such as Looker, Tableau, or JupyterLab/Notebook. Experience engineering, deploying, and maintaining data solutions using technologies like Databricks, S3, and Spark

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

Machine Learning Engineer. The Machine Learning Engineer will join the Channel Sales and Operations team and develop and maintain a sophisticated chatbot system.. 3+ years of Machine Learning experience, with a specialization in NLP-related fieldsText classification, named entity detection, embeddingsExperience with LLMs and how they integrate into conversational AI systemsForecasting with Prophet. Experience with Machine Translation systems and their application in multilingual chatbot systems.. Familiarity with Retrieval-Augmented Generation and its use in improving chatbot responses.

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.

At TWG Group Holdings, LLC (‘TWG Global’), we are at the cutting edge of innovation and business transformation, leveraging data and AI to manage a diverse portfolio that spans Investments, Securities, Insurance, Finance, Corporate Lending, Merchant Banking, as well as Sports, Media, and Entertainment.. As Staff Data Scientist, you will lead the development and implementation of cutting-edge AI solutions to drive significant business impact, including cost optimization and revenue growth.. You will drive the development of predictive modeling use cases, prioritize AI governance, and champion the ethical and responsible use of AI across the organization.. Strong expertise in statistical analysis, machine learning, and data mining, including time series forecasting, reinforcement learning, optimization, and speech or conversational AI.. Proficiency in programming such as Python, R, or similar, and experience with data visualization tools.

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

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.

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

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.

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.

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.

Strategic Legal Practices (SLP), a forward-thinking and influential law firm, is seeking a multi-talented, self-starting Software Data Engineer with a passion for creating high-impact data infrastructure.. You'll help shape how SLP leverages data to enhance legal operations, client service, and strategic decision-making.. We're particularly interested in candidates with experience using Palantir platforms (e.g., Foundry) to drive large-scale data integration, pipeline development, and analytic solutions.. Support and maintain existing infrastructure using Python, Java, SQL, Ansible, and cloud orchestration tools like AWS CloudFormation or Azure equivalents.. Hands-on experience working with Palantir Foundry or similar Palantir technologies.

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.

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

CoStar Realty Information, Inc. seeks a Data Scientist to analyze and interpret statistical data applied towards the evaluation and improvement of Commercial Real Estate modeling through quantitative research.. Document commercial real estate models, analytic products, and tolls for external and internal clients.. Position requires a Master’s degree in Finance, Statistics, Mathematics, or a related field, and 6 months of experience with design and programming for predictive modeling.. Experience must include a minimum of: 6 months of experience with SQL; 6 months of experience with Python, R, and STATA; 6 months of experience with statistical methods; 4 months of experience with end-to-end development of predictive modeling; and 2 months of experience with ML classification and regression techniques.. CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing.

Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to help our ZSers cultivate community spaces, obtain resources to thrive, and share their passions. Lead end-to-end development lifecycle of innovative ML-based enterprise products for complex business problems. Publish thought leadership pieces and present at industry conferences. In-depth knowledge of advanced algorithms (e.g., deep learning, NLP, recommenders). Domain knowledge in industry verticals such as travel, hospitality, retail, asset management, and high-tech is highly preferred.

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).