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10+ years of experience in data engineering, data science, and software engineering. Experience with Databricks, Alteryx, Data integration, Data Masking tools, Access Management and Data Governance tools.
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As a Senior UX Designer at Goodreads, you’ll work in a highly collaborative environment with product management, engineering, data science, editorial, brand marketing, operations, and design to understand and deliver experiences that delight our community of readers.
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2 + years of professional experience and technical background in either of Golang, DevOps, Data Science. From finding documents to monitoring infrastructure to hunting for threats, Elastic makes data usable in real time and at scale.
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Bachelor's, Masters, or PhD degree preferred in Machine Learning, Robotics, Computer Science, Computer Engineering, Mechanical Engineering, Applied Mathematics, Statistics, or a related field.
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Bachelor’s degree in computer science, Physics, statistics, applied mathematics or an equal computational field. Work together with your Applied Science team to perform model development, research, testing and evaluation of existing and emerging NLP/ ML/ DL methods and models (incl.
$164,800 - $242,225 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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You’ll also work closely with our broader Data Engineering and Data Science teams on Sales data pipelines and analyses. Share visualization and dashboard development best practices with our Business Intelligence and Data Science teams to create consistency across our dashboards.
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Data Science activities will focus on a wide range of activities including personalized recommendation systems, sensor data analytics, signal processing algorithm development, predictive model development, etc.
$125,700 - $251,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will be able to get your hands on the end to end AI /ML feature lifecycle by leveraging data labeling and document understanding, machine learning across NLP, computer vision and multi-modal techniques including LLMs and agentic approaches, offline / online evaluation techniques and more.
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You will have the opportunity to collaborate with the data science and analytics team to develop high performance analytics, data model and ML solutions. Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR.
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Experience working with cloud-based data warehouses like Snowflake, Redshift, or BigQuery. Experience with data transformation tooling (dbt is preferred), data pipeline services like Stitch and Fivetran, and orchestration tools like Airflow.
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A graduate degree in statistics, data science, or similar STEM field with 2+ years of experience in a relevant role. A bachelor degree in statistics, data science, or similar STEM field with 5+ years of experience in a relevant role OR.
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Data science leader with 15-years of experience, who has scaled several data teams and built dozens of machine learning products from zero across multiple problems domains. In this key position, you will report directly to our co-founder and VP of Data & AI/ML, Cian Menzel-Jones.
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Bachelor of Science degree in geology or relevant geological science discipline (e.g., geophysics, hydrogeology, or geochemistry) + Master of Science degree in geology or relevant geological science discipline (e.g., geophysics, hydrogeology, or geochemistry.
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Technical expertise in immunology, biomarker discovery and development in clinical trials, including assay development, validation, and data analysis. We are seeking an experienced Vice President, Translational Biology, reporting to the CSO, with a background in Immunology and Clinical Biomarker Science for immunotherapies for cancer and infectious diseases to join our team.
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Collaborate with pre-clinical data science and clinical teams to define data requirements, reconciling research needs with real-world data collection practices and utilization.
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data science applied mathematics jobs Title: postdoctoral Company: Berkeley Lab in Alameda, CA
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