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A master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years’ experience in data science or a similar role. The Lead Data Scientist at The Friedkin Group (TFG) will spearhead the design, development, implementation and maintenance and improvement of advanced data science initiatives across business units, directly aligning with strategic objectives.
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Associate's or Bachelor's degree in computer science, computer information systems, computer information technology, computer engineering, or computer-based information systems, instructional technology, or business/computer related field (e.g., computer management, decision engineering, data processing.
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Responsible for enterprise cybersecurity programs and activities including data protection, incident response, threat management, vulnerability management, security architecture, security risk management, awareness training, policies and standards.
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Relevant data science skills TensorFlow Keras PyTorch Python Numpy Panda What You Will Be Doing Tech Breakdown · 90% Machine Learning / Data Science · 10% Other data Daily Responsibilities · 80% Hands On · 20% Team Collaboration The Offer Stock Options available You will receive the following benefits: One of the most interesting aspects of working at a startup company is gaining equity in the company, which means our success is your success.
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B.S. or M.S. in Environmental Science or Studies, Planning, Natural and/or Cultural Resource Management or related field, or B.S. or M.S. in land use planning/urban planning. This position also includes managing permit applications and analyzing environmental data supporting the development of environmental documents and studies for various types of projects, including high-voltage transmission lines, renewables, power generation construction activities, and upstream and midstream Oil and Gas. Candidates with demonstrated experience scoping and leading these types of projects are strongly preferred.
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As a Data Scientist Director in the ISDA team, you will have the opportunity to work on exciting end-to-end machine learning problems and solutions. Intelligent Systems, Data and Analytics (ISDA) in Corporate Technology (CT) is a centralized global team responsible for leveraging Artificial Intelligence and Machine Learning to maximize the business value of the data consumed and produced by CT and our Corporate Function Partners.
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Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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Specifically, responsible for biochemical assays such as protein purification, x-ray crystallization, imaging, and data analysis; operating and maintaining instruments; providing service and technical support to internal and external users; providing direct support to the CBMHR leadership, faculty, users, and staff members; submitting reports, publishing, and presenting data, and applying for funding.
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Vast experience in data extraction and collection from websites, APIs, databases, and cloud platforms (AWS S3, Azure, Snowflake). The group puts innovation at the heart of its development and intervenes in areas related to the technological changes of large groups, such as Artificial Intelligence, Data Intelligence, Web3, Metaverse, Blockchain, or IoT.
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Top Data Science Providers in India 2022: Penetration and Maturity (PeMa) Quadrant. India’s most promising data science companies in 2022. Tools: Azure PowerBI QLik Snowflake Anaplan Benefits About CloudHire: Our Client: As a data analytics and enterprise planning powerhouse, CloudHire Solutions helps its customers bring out the most sophisticated insights from their data in a value-oriented manner.
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The Machine Learning Engineer will work as part of a team to design, develop, deploy and sustain data science solutions that are scalable, reproducible and with commercial-grade quality.
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You will function as part of a world class Data Science team to support various AI and machine learning initiativesSolve complex marketing and business challenges by accessing, integrating, manipulating, mining, and modeling a variety of data sourcesReframe client business questions into data science deliverables.
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By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a lower carbon world.
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They will develop expertise in cancer genomics, single-cell genomes, data analysis, data interpretation, presentation, and manuscript and grant writing. Since its inception, members of the Cancer Genomics laboratory have co-authored 18 papers in Nature, Science or Cell. Recent successes include pan-cancer studies of the evolutionary history of cancer (Gerstung et al., Nature 2020), intra-tumor heterogeneity (Dentro et al., Cell 2021), the mutational landscape in non-unique regions of the human genome (Tarabichi et al., Nature Biotechnology 2021), and biallelic mutations (Demeulemeester et al., Nature Genetics 2022.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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data science jobs in Houston, AK, West Virginia
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