UP.Labs: Builds and scales mobility-focused startups with corporate partners.
8+ YOE8+ years in Data Science, Data Engineering, and ML; startup experience; hands-on ML development; cloud and data infra expertise; strong collaboration and communication.
Plug: Online marketplace for trading and auctioning used electric vehicles.
5+ YOE5+ years building production dbt projects, Snowflake experience, Fivetran pipeline onboarding, advanced SQL and Python, EMR not mentioned, ML feature store familiarity, US work authorization required.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
8+ YOE8+ years experience in data engineering and ML for observability; experience with Lakehouse architectures, streaming pipelines, dbt, ML model development, and incident integration.
Delta Lake, Apache Iceberg, Open Telemetry (OTel), Kafka, dbt, Flink, Spark Streaming, DRAIN3, LogBERT, REST, gRPC, PagerDuty, Opsgenie, AWS
Thousand Oaks or United States or Portugal or Netherlands or Ireland
$147k-$200k/yrRemoteFull Time
AmgenNASDAQ: AMGN: Develops and manufactures biotechnology medicines for serious diseases.
3+ YOEAdvanced degree or equivalent experience in engineering/computer science/operations/analytics/data science, leadership in AI/ML and GenAI, experience building global data science teams, proficiency in Python and SQL, Spotfire and Matplotlib; supply chain/manufacturing experience preferred.
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
7+ YOE7+ years building and deploying ML models (recommendation systems preferred), strong ML/AI/LLM experience, proficiency with PyTorch, TensorFlow, Databricks, Spark, SQL, strong communication and evaluation skills.
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
7+ YOE7+ years building and deploying ML models, strong background in recommender systems, applied ML/AI/LLM experience, proficiency with PyTorch, TensorFlow, Databricks, Spark, and SQL, strong communication skills.
5+ YOE5+ years post-Bachelor's ML experience (or Master's/PhD with reduced experience), strong causal inference and experimentation experience, proficiency in Python and ML libraries, production ML experience, strong communication and mentorship skills.
Keysight TechnologiesNYSE: KEYS: Provides electronic design, test, and simulation software and hardware.
3+ YOEPhD or 3+ years in ML/applied data science or computational modeling; strong CS fundamentals; experience with neural/hybrid ML models, XAI, Python/C++ integration, PyTorch/libtorch, and data pipelines.
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
10+ YOE5+ Mgmt10+ years in risk management/data governance, 5+ years with technical data systems; Bachelor's in CS/engineering/analytics or equivalent; expertise in data governance, privacy, security, AI/ML and cloud data systems.
AI/ML, APIs, clean rooms, data lakes, ETL, databases, visualizations
AstraZenecaLondon Stock Exchange: AZN: Researches, develops, and manufactures prescription medicines for major diseases.
7+ YOEBachelor's in CS/Engineering/Information Systems/Supply Chain required, advanced degree preferred; 7+ years product management experience; API integration, cloud platforms, AI/ML, data and security knowledge.
AstraZenecaLondon Stock Exchange: AZN: Researches and develops medicines to treat major diseases globally.
7+ YOEBachelor's in CS/Engineering/Info Systems/Supply Chain required; 7+ years product management experience for digital platforms; experience with API integration (REST/GraphQL), cloud (AWS/Azure/GCP), event streaming, workflow engines, AI/ML, Agile, and data literacy.
AstraZenecaLondon Stock Exchange: AZN: Global biopharmaceutical developing and manufacturing prescription medicines.
7+ YOEBachelor's degree in CS/Engineering/Info Systems/Supply Chain required; 7+ years product management for digital platforms; experience with API integrations, event streaming, cloud platforms, AI/ML application, Agile delivery, data models, security and regulatory/GxP considerations.