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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve productivity.
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You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.
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Knowledge/experience with data science tools and methods Familiarity with Python and/or R is a plus. Required Skills: A BS or a graduate degree (preferred) in Sensory/Behavioral/Biological Sciences or related field (e.g., Experimental Psychology, Neuroscience, Food Science) is required.
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Lead workshops with many teams to define data ingestion, validation, mining, engineering, modeling, visualization, AI, and analytics. Ability to build AWS cloud/Snowflake data solutions and provide technical perspective and expertise on storage, platform services, cloud architecture and RDBMS/ODS database practices (Snowflake and Databricks.
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S. in a technology discipline (Computer Science, Information Management, Computer Engineering, Cybersecurity or equivalent) or Security Certifications such as CISSP, SANS GIAC GSEC, GCED, GCIA, GCIH, GREM; or Cisco CCNA, CCNP; or equivalent.
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3+ years working as a Data Scientist, Data Analyst, or Product Data Analyst. Bachelor’s Degree in Computer Science, Mathematics, Statistics, or a similar field. Perform exploratory data analysis to identify areas of opportunity to make improvements to our overall user experience.
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Data science & advanced analytical techniques and technologies (e.g., R, Python, Databricks) Create strong partnerships with various teams across PVH and be a thought partner on concepts that will lead to evolving PVH data & analytics maturity and grow the respective portfolio through potential projects for prioritization by the business.
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Manages and oversees the data capturing, extraction, reporting, and analysis to support the institutional research data needs of the Office to support university-wide, chancellor, and school operations.
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The candidate will receive the data from the land surveyor and convert that data into 3D models to pass along to the design team. Take survey data and implementing into Civil 3D software.
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Skills in experimental design, mathematical problem solving, critical data. Ph. D. with 1-3 years of pharmaceutical drug development experience relating to: PKPD, pharmacometrics, mathematics, statistics/ biostatistics, or chemical/biomedical engineering.
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Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. Master's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years' experience in software engineering or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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At Bristol Myers Squibb, we are inspired by a single vision - transforming patients' lives through science. Education: Masters' or advance degree Science or Engineering background; Masters or advanced degree preferred.
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With a single vision as inspiring as "Transforming patients' lives through science™ ", every BMS employee plays an integral role in work that goes far beyond ordinary. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
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Bachelors or Masters degree in Computer Science, Data Science, Information Technology, or a related field. Develop and maintain scalable and efficient data pipelines using ETL processes tailored for AWS and Databricks environments.
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data science jobs Title: data lead Company: Springboard in Woodbridge, NJ
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