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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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In addition, the lab is working on the standardization of collection and nomenclature of images to facilitate meaningful measurement and interpretation of imaging biomarkers across departments and institutions to support efforts aligned with the Institute for Data Science in Oncology.
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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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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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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 TFGs analytics expertise.
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Majoring in: Human Factors, Ergonomics, Safety, Sustainability , Biology, Chemistry, Safety, Industrial Hygiene, Environmental Health, Environmental Science, Data Analytics, Data Science, Statistics, Computer Science, Mathematics, Physics, or related.
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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 position will support the Portfolio Management Office (PMO) at the Engineering Department and report to the Division Manager of PMO. The candidate is expected to analyze data using a variety of tools and data sources, including QuickBase, Power BI, Paginated Reporting (SSRS), Python, SQL, Excel formulas, as well as commercial cloud platforms such as Snowflake, Power BI’s Cloud Services (e.g., Data Flows and Dataverse) and Amazon Redshift - respectively.
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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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Familiarity with Information Governance technology ecosystem and how it supports Information Governance processes including: enterprise content / document management systems, records management systems, archival systems, legal hold management systems, mobile device management systems, communication surveillance applications, privacy compliance management systems, data discovery and scanning, etc.
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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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Master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years’ experience in data sciences. Directly align data science campaigns with strategic corporate objectives encompassing the digital transformation of innovative ideas into real-world solutions.
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Identifying and incorporating tools and techniques using technology applications (e.g. Microsoft SQL Server, Access/Excel, Visual Basic, R, Python, SAS, Stata, Alteryx) and build reporting capabilities through data visualization (e.g. Tableau, Spotfire, Qlikview.
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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 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 Company: Gartner in Houston, Schuyler, Nebraska
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