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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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The Commercial Analytics and Data Science Manager will also support upleveling of existing data science and analytics capabilities to the next level. The Commercial Analytics and Data Science Manager will support strategic commercial teams with data driven analysis and recommendations for segmentation, targeting, planning, etc.
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Role Requirements: 5+ years of experience in data engineering, data science, or analytics engineering. Expertise in data engineering technologies, such as SQL, Python, R, and/or Java. Experience working in CAP/CLIA environments and utilizing version control and documentation as managerial tools.
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Masters or Ph. D. degree, preferably in computational biology, bioinformatics, data/computer science, machine learning/AI, or statistics. At least 3 years of hands-on experience in developing bioinformatics pipelines, implementation of algorithms for NGS data, and analysis of multi-omics data.
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Description CTG is seeking to fill a Sr. Data Scientist – Forecasting and ML Ops opening for our client in Pleasanton, CA.Location: Pleasanton, CADuration: 6 monthsDuties:Deliver end-to-end analytics and data science solutions from idea conception through planning, requirements, design, development, testing, production, and deployment/business process integration.
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Life Science/Lab/Cleanroom, Data Center, Tech Office/Campus, or High-Rise construction project experience is required. Life Science/Lab/Cleanroom, Data Center, Tech Office/Campus, or High-Rise construction project experience is required.
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We are seeking a talented Data Science Engineer to join our team and contribute to the development and implementation of advanced data solutions using technologies such as AWS Glue, Python, Spark, Snowflake Data Lake, S3, SageMaker, and machine learning (M/L.
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Candidates working towards a bachelor's degree with a minimum of 40 credits towards a Chemical Engineering, Material Science or Physical Chemistry degree or equivalent. AE's power solutions enable customer innovation in complex applications for a wide range of industries including semiconductor equipment, industrial, manufacturing, telecommunications, data center computing and healthcare.
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Investigate serial data transfer bus protocols, I2C, SPI or USB. Solder, build and analyze electronic circuits used for life science research. As one of the top five life science companies, we are a global leader in developing, manufacturing, and marketing a broad range of high-quality research and clinical diagnostic products.
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With capabilities spanning technology, data science, supply chain management, fulfillment, customer service, and more, we help brands launch, scale and grow-across product categories and geographically.
$16.4 - $17.2 an hourPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience of working under own initiative and in planning and prioritizing workloads University or technical college degree or equivalent qualification in relevant sciences such as: Medicine, Pharmacy, Chemistry, Biochemistry, Biology, Microbiology, Biotechnology, Health Technology, Toxicology, Physics, Biophysics, Material Science Biomedical Engineering, Mechanical, Electrical or Electronic Engineering, Computer & Software Technology, Human Physiology, Nursing, Quality Management.
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For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools.
$75,000 - $160,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Bachelor's degree in Statistics, Data Science, Applied Mathematics, Computer Science, Business Analytics, or related quantitative disciplines (Master's degree preferred). Deep understanding and experience with advanced statistics, time series forecasting, machine-learning models, best practice application of data science in a business context (e.g., back-testing & piloting), model architecture, and use cases.
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You will be prepared for a career in cutting edge business fields like cloud ERP, data science, design for manufacturing, and strategic sourcing. To be successful in this role, you will need to establish strong partnerships and have a hands-on approach to managing data and business processes from the ground up.
$115,000 - $165,000Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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A solid foundation in AI, Generative AI, LLM, Machine Learning, and Data Science. A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline.
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data science jobs in Fremont, CA
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