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Drive org-wide impact by shaping product and business strategy through data-centric presentations. Exploratory research on user data to determine the future of the product roadmap.
$200Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Databricks, Airflow, Redshift, S3, Glue, and EMR. 5+ years experience in engineering data pipelines using data technologies (Python, Databricks, pySpark, Kafka) on large scale data sets.
$147,000 - $235,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling. DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions.
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You have a BS, MS or PhD in computer science or a related field with focus on data science or machine learning. Develop algorithms and design highly scalable software solutions for real world problems using data science and machine learning.
$80,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Partner with data science, engineering, and other product teams to identify new product and process opportunities to efficiently deliver content to both internal and external distribution partners Maintain strategic insight into the latest industry trends for video preparation and streamingWork with stakeholders to establish and identify product goals and define product roadmap and KPIsBasic Qualifications 8+ years of product management or relevant experience required.
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We’re looking for a Product Manager to define and drive a range of advanced IoT devices, sensors and accessories that are focused on AI Safety solutions. Analyze support cases, market data, customer feedback, and inputs from other product team members to deliver a multi-quarter roadmap for fleet diagnostics capabilities.
$150ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The candidate should also have desire to learn and enrich their knowledge in data science, machine learning, and other related fields. You will collaborate with Tendo's Data Scientists, Product Managers, and Machine Learning Engineers to produce quality data flows and transformations.
$157,250 - $212,750 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Apply mathematical (geometry, linear algebra, numerical methods, error analysis) and machine learning methods to prototype and develop algorithms for converting raw depth sensor data into point clouds, 2D and 3D tracking like SLAM, 3D point cloud reconstruction, registration, and classification as well as texture projection and completion.
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The Senior Data Engineer position will report to the Manager of Data Platforms & Analytics Engineering. 2+ years working with container technologies such as Docker, KubernetesExperience with server-side concepts (e.g. microservices, database, caching, performance, monitoring and scalability)Familiarity with data governance best practicesWilling to travel to the Oakland office monthly to collaborate with other Earnies Even Better: DBT experienceBusiness Intelligence tools such as Tableau, Looker, Qlik, etc.
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Work with a full stack team that includes Machine Learning and Backend engineers, Designers, Data Scientists, Compliance, Product Counsel, and Customer Support. We’re looking for a gritty, driven Product Manager to own the experience and business metrics for repeat customers on our platform.
$150Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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You consider yourself a “full-stack” design generalist who spikes in web app UI/UX design (ie, "T-shaped" designer with depth in product design) We are looking for a Senior Product Designer to join us “on the ground floor” and play a foundational role in our product journey.
$150Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) Define data engineering standards and best practices and drive operational excellence. Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies.
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Collaborate cross-functionally with the product and technical teams, bridging the gap between competing priorities and drivers (Including our product, design, data, cloud ops, SRE, and AI/ML teams.
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Understand our customers by talking with customers regularly, interacting with go-to-market teams, and digging into product data. 4+ years as a Product Manager, with a track record of launching successful products.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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product manager data science jobs Title: product manager data in San Francisco, Bentonville, Kansas
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