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The Data Scientist will be responsible for leveraging data, advanced quantitative modeling, financial analysis and cloud-based machine learning technology to enable data-driven strategic decision making.
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Responsible for Developing/supporting Artificial Intelligence, Machine Learning, and Data Science solutions for Product Development. Fully proficient with common statistical and machine learning techniques and exhibit some knowledge of advanced modeling techniques and their application.
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Common machine learning toolkits including iPython, Jupyter, Sagemaker, and Azure ML; (II) Experience in video data processing using ROS bag and frame extraction; (III) Demonstrated proficiency in SQL in the context of machine learning development; (IV) Background a.
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Solid understanding of current research in data science including machine learning, deep-learning, Convolutional Neural Networks (CNN), and experience with industrial application of CNN on projects with large data scales.
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We utilize cutting edge Machine Learning and Statistical Techniques to extract Hidden Insights and Patterns from Complex, High Dimensional, and Unstructured Data. Our major clients include: DOW Chemicals, Ford, Visteon, D&B, Timken, US steels, Steelcase, Abercrombie, Express, Stanley Steemer, Whirlpool, AEP, NiSource, GEA, etc.
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Experience must include: working with statistical, mathematical, predictive modelling, Artificial Intelligence, Machine Learning, NPL knowledge, data visualization and data preparation; querying databases and performing statistical data analysis; knowledge of big data technologies, AI, Machine Learning, NLP; knowledge of analytics and statistical software packages R, Python, Vertica, Hadoop, Tableau, SAS, SQL, MS Azure.
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Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across dating, personalization, growth, discovery, ads and search. Be an expert in matching algorithm and recommender systems machine learning models and own the implementation of dating recommendations in Grindr.
$160,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Develop and implement statistical models and machine learning algorithms to forecast future trends and support strategic decision. As a research scientist in technology innovations and data science, you will lead in-depth research, providing insights into the dynamic landscape of energy and transport technologies.
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Strong understanding of natural language processing (NLP) and text mining/information retrieval. Author high-quality research papers, technical reports, and proposals: Employ data visualization and statistical analysis to communicate research findings effectively.
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Leads activities in generative AI and physics-informed machine learning for product, formulation, material/process discovery and design. Experience with machine learning algorithms and data analysis techniques.
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And familiarity with SQL, MySQL, MongoDB, Flask, Azure, or other cloud technologies. Knowledge of quantum computing a plus. PhD or equivalent experience in materials science, chemistry, chemical engineering, physics, mechanical engineering, or related fields.
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Work in team with other data scientist to generate hypothesis, rigorously working to prove or disprove and provide a comprehensive analytic report on problems at hand. Daimler Truck Financial is the captive financial services provider for the Daimler Trucks North America family of commercial vehicle products, including Freightliner Trucks, Western Star, SelecTrucks, Sprinter Vans, Thomas Built Buses and Fuso. We have specialized in financing commercial vehicles for more than 40 years.
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Position : Data Scientist. Support data visualization, data governance and release process for data science and visualization. Daimler Truck Financial Services is committed to employing a diverse workforce and providing an environment where equal employment opportunities are available to all applicants and employees without regard to race, color, sex (including pregnancy), religion, national origin, age, marital status, family relationship, disability, sexual orientation, gender identity and expression (including transgender and transitioning status), genetic information, or veteran status.
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Any person may provide documentary evidence bearing on the application to the regional Certifying Officer of the Department of Labor at the following address: Attn: Certifying Officer. Only together, will we achieve more sustainable transportation, reduce our carbon footprint, increase safety on and off the track, develop smarter technology and financial solutions.
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