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The team works closely with cross-functional partners in engineering, data science, sales, and customer success to build innovative solutions that drive value for our clients. Partner with engineering, data science, and design to execute on the product roadmap and continuously improve the user experience.
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Bachelor or Master’s degree in geology, environmental engineering, environmental science, or a related field. -Familiarity with GIS, data management, and laboratory analytical procedures.
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The ideal candidate will have a strong background in data science, analytics, and management, with a proven track record of driving data-driven decision-making in a fast-paced fintech environment.
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GenScript's businesses encompass four major categories based on its leading gene synthesis technology, including operation as a Life Science CRO, enzyme and synthetic biology products, biologics development and manufacturing, and cell therapy.
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PhD or Master’s degree (PhD preferred) in Psychology, Behavioral Science/Economics, Cognitive Science, Computer Science, Machine Learning, Statistics, Social Science, Human-Computer Interaction or related field.
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Demonstrated fluency with one or more programming languages, including but not limited to Typescript/Javascript, Rust, Go, Python, or JavaExperience with Infrastructure as Code Preferred Qualification Bachelor's Degree or better in Engineering, Computer Science or Information Technology Salary Range: $119k - $300k USD Annually + Benefits + Bonus + EquityActual compensation may vary based on factors such as geographic location, work experience, education/training and skill level.
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B.S. or M.S. in a relevant engineering discipline (civil, environmental, or chemical) or in a relevant science discipline (geology or hydrogeology) Strong data analysis and visualization skillsets (e.g., using ArcGIS Pro, R, and/or Python.
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In addition to guiding the immediate teams, you will partner with Engineering, Data Science, UX, Operations, Marketing, and other functions to conduct research, advance our product strategy, evolve roadmaps, execute, test, and iterate in order to achieve your goals.
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Proficiency in writing Python for either Data Science, Machine Learning, or other distributed systems workloads. B.S. degree in a quantitative field such as Computer Science, Engineering, or comparable degree/experience.
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Clear understanding of project technical activities, including: (1) solution analysis and design; (2) enterprise, solution, and infrastructure architecture; (3) systems integration; (4)data conversion and migration; (5) environment management and build processes; and (6) deployment planning and execution.
$205,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Do you wonder what artificial intelligence and data science will look like in 10 years? About youYou are an experienced design leader, ready to champion human centered design to simplify complicated and painful customer tasks and activities in data science and machine learning.
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5+ years of hands-on experience in data science, deep learning, and neural networks. Contribute to the development and growth of the data science function within the company.
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Join their mission-driven Data Science team and make a tangible impact! Collaborate closely with the data science team (including Staff Data Scientists), product managers, and engineers to bring their models to life.
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Bachelors degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields or equivalent (minimum 12 years) work experience. + Experience with big data technologies (e.g., Hadoop, Spark) and database management systems.
$220,400 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
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