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Proficiency with Databricks : Hands-on experience using Databricks for big data processing and analytics workflows. Bachelor's Degree : In Computer Science, Data Engineering, Technical Communication, or a related field.
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Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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6+ years of experience in data engineering working with big data systems that can process and transform data at scale. As a technical leader of our data engineering team, reporting to our Director of Business Intelligence, you'll play a pivotal role in defining the foundation crucial for various types of analysis.
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Patent Litigation : Mid-level associates with at least five years of patent litigation experience are required, especially those with backgrounds in electrical engineering, computer science, or mechanical engineering.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. New York City (Hybrid On-Site): $201,400 - $229,900 for Mgr, Data Science.
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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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Our data science track covers most of the below: Topics and content might change based on the market requirements. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Extensive hands-on expertise in Big Data, Distributed Systems, and Cloud Architectures (AWS, Azure, GCP). This role is hands-on and requires a perfect combination of a “big picture,” solution-oriented mindset, and solid implementation skills.
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Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery). If you are passionate about leveraging data to drive meaningful insights and have a proven track record in data engineering, analytics, and leadership we invite you to join us on this exciting journey.
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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Ability to design cloud and on premise data solutions and provide guidance across storage, big data platform services, Big Data ecosystem, vendor SaaS integrations, RDBMS and NoSQL databases is a plus.
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Minimum Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related fieldAt least 3 years of experience as a Data Scientist, with a focus on developing and deploying machine learning models in production environmentsStrong programming skills in at least one language (Python, SQL, Spark, C.
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With the goal of radically transforming public perceptions of science, WSF creates world-class programming, both live on stage and online, featuring inspired collaborations, outstanding talent and novel production techniques that bring scientific discovery, insight and perspective to a broad general audience.
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Serve as an expert for analysts on the team and a partner with Data Engineering in designing and building performant ETLs, intermediary tables, and beautiful and quick Tableau and Looker dashboards.
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The Tansey lab focuses on developing novel data science and machine learning methods that address pressing needs in cancer. Demonstrated track research record in the fields of statistics, machine learning, computational biology, data science or related field (computer science, physics, biostatistics, bioinformatics.
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BS/MS in a related field, including but not limited to materials science, mechanical or chemical engineering, chemistry, or biochemistry. 2+ years of relevant R&D experience, including but not limited to polymer chemistry, protein formulations, foaming systems, chemical formulation, surfactant chemistry, material science and/or green chemistry.
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data science big hands on engineering jobs Title: scientist in New York, NY
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