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Deep expertise in one or more of the following areas: mathematical & statistical modelling, atomistic simulation, multiparameter optimisation, machine learning, computational biology, quantitative structure-activity relationships (QSAR) modelling.
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Ph. D., M.S. or Bachelors degree in Statistics, Machine Learning, Economics, Computer Science, or other quantitative fields (If M.S. or Bachelors degree, a minimum of 4+ years of industry data science experience required; If PhD degree, a minimum of 2+ years of industry data science experience required.
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In this role, you will utilize our robust data and machine learning infrastructure to develop inference and optimization for Merchant experience and build new merchant’s products, such as deep learning based logistic service for restaurants and non-restaurants, AI solutions to make our catering product successful, menu item tax categorization, expanding our merchant selection on DoorDash.
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Technical Qualifications: Advanced degree (PhD or Postdoc) in finance,puter science, mathematics, statistics, machine learning, physics, or a related scientific discipline. Prior quantitative trading environment experience is advantageous.
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Experience with theory and practice of information retrieval, data science, machine learning and data mining. We are open to hiring candidates to work out of one of the following locations:Arlington, VA, USA | Seattle, WA, USA | Sunnyvale, CA, USABASIC QUALIFICATIONS- Master's degree in statistics, data science, or an equivalent quantitative field- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
$104,300Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Master's Degree in a quantitative discipline such as Epidemiology, Biostatistics, Economics, Statistics, Clinical Informatics, Mathematics, Data Science, Data Analysis and/or related fields.
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Strong experience in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in Python data science ecosystem (Numpy, SciPy, Pandas, etc.) PhD in Computer Science, Applied Mathematics, quantitative disciplines with strong focus in ML, or related field.
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We achieve this by using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. Do you love to innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems.
$127,300Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming.
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Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative field, with a strong focus on machine learning preferably in deep learning (ideally computer vision.
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Special Skill Requirements: (1) Python; (2) SQL; (3) Large Data Sets; (4) PyTorch; (5) TensorFlow; (6) Machine Learning; (7) Statistical Modeling; (8) Deep Learning; (9) R; and (10) A/B Test. Telecommuting is permitted.
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Deep technical background in applied machine learning, including deep learning, computer vision, natural language processing, and data engineering. Advanced degree in a quantitative discipline (e.g., Computer Science, Applied Mathematics, Machine Learning & Artificial Intelligence, Bioinformatics.
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What we are searching for Master’s or PhD degree in quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics or related fields 2+ years of industry experience in applying data science and modeling methodologies: regression model, survival model, ensemble modeling, NLP, recommendation algorithm, clustering, deep learning algorithm, experimental design (Multivariate/B testing) and nonparametric Bayesian modeling etc.
$109,700 - $142,580Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Minimum Qualifications Bachelor's degree in a quantitative field - computer science, engineering, statistics, operations research, economics or related field7+ years of experience in analytics or data scienceStrong programming skills in Python, SQL, with experience in Snowflake or similar, and using data science libraries and frameworks such as Pandas, Scikit-Learn, & PyTorch.
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Deep understanding of statistical and predictive modeling concepts, machine learning algorithms, data mining, unstructured data analytics, and its mathematics. The Global Analytics team is seeking a Data Scientist to join our fast-paced, dynamic team responsible for developing and delivering machine learning models and AI solutions in Claims space.
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