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As a data science lead, you will be able to shape the approach around the end-to-end data science pipeline, including NLP, ML modeling, and GenAI techniques. 7+ years of hands-on data science experience.
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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.
$130 - $160Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, Machine Learning, Artificial Intelligence, Cognitive Science or other quantitative fields or foreign equivalent.
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This commitment is brought to life in the Institute for Data Science in Oncology (IDSO), a flagship program designed to reshape patient experiences and fast-track scientific breakthroughs via data-driven cancer care methodologies.
$155,000 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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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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Foster a culture of innovation and continuous improvement and lead the exploration and adoption of new data science technologies and methodologies to contribute to the advancement of TFG’s analytics expertise.
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Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
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Fields of Data Management, Geology, Geophysics, Reservoir Management, Petroleum Engineering, MIS, or Computer Science are especially preferred. Experience with data platforms and applications such as IHS EDM, Landmark CDS, Quorum TDM, Informatica MDM, Openworks, OSDU, and Snowflake.
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The DLDCCC is further supported by a broad array of shared resources including the Population Sciences Biorepository that provides biospecimen collection, processing, and storage coupled with clinical and risk factor data collection for a variety of cancers as part of our growing molecular epidemiology program and computational biology and bioinformatics.
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Bachelor’s Degree in Geology, Hydrogeology, Soil Science, Environmental Science or closely related discipline. Provide guidance with data collection efforts for extracting, identifying, and compiling environmental data from soil sampling, soil gas sampling, groundwater sampling, stormwater sampling, boring logs, and other matrices for projects, investigations, and surveys.
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Bachelor’s, Master’s degree or PhD with good academic record within business, industrial economics, economics, finance, political science, law, shipping, logistics, innovation, chemistry, engineering, technical and process safety, naval architecture, marine technology, offshore technology, maritime law, energy management, data science and data management.
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Trading: commodity and algorithmic trading, chartering, risk management and business development in energy markets. We are responsible for optimizing the portfolio of crude oil, petroleum products, natural gas, and electricity, including transportation infrastructure to ensure Equinor’s production reaches the markets in a reliable and efficient manner.
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We are seeking candidates who have expertise in computer science, analytics, machine learning, and/or other dimensions of data sciences, in addition to expertise in chemical engineering, materials science, chemistry, polymer science, theoretical modeling, operations management, and/or industrial engineering.
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The 4 years of experience must include experience with AngularJS; Typescript; Python; Plotly; Linux; Perl; Flask; API; SQL; Anova (Analysis of Variance); Regression and Correlation Analysis; Exponential Smoothing; Tableau; ETL; Data Visualization (Dash); Microservices; and Git. Must have a Master’s Degree, or foreign educational equivalent, in Computer Science, Management Information Systems, or other closely related IT field.
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Experience with data science tools such as Python, R, PyTorch, TensorFlow, Kera's, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Sage Maker, Databricks, and Dataiku.
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data science jobs Company: Providence in Houston, Wailuku, Hawaii
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