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Experience building loan-level credit/prepayment models from data preparation, data analysis, and model estimation through deployment into productionExperience with generalized regression models as well as machine learning frameworksVery strong programming and software design skills (Python, C.
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Experience leading teams in data analytics and data visualization, including selecting and applying the appropriate analytical techniques for statistical analysis, predictive modeling, simulation, and machine learning.
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You are proficient in a wide range of data science techniques, including data modeling, machine learning/Al, NLP, and unstructured data analytics, and are eager to apply them to solve complex clinical or business challenges.
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Technical Skills: Proficiency in programming languages such as Python, R, or MATLAB. Experience with statistical software and data visualization tools. Model Development: Design and develop quantitative models for natural gas price forecasting, risk management, and trading strategies using statistical, econometric, and machine learning techniques.
$150,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Strong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques. + Advanced degree preferred, with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
$205,400 - $342,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Windows OS and device drivers, along with Python skills for converting machine learning algorithms into production code, will be highly valuable. Proficiency in Python, with a focus on converting machine learning algorithms into efficient production code.
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Technology Expertise: Proficiency in relevant technology domains, including apps management, cloud technologies, data engineering, analytics, fintech solutions, and great to have emerging technologies experience such as AI, machine learning, blockchain, and virtual reality.
$141,830 - $263,408 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Extensive experience using the Python data science/ML stack in a collaborative development environment using version control tools (git). Apply new technologies and methods in data science, data engineering, and data visualization to improve the technical capabilities of the team.
$150Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Proficiency in programming languages and technologies relevant to AI and machine learning development, such as Python, Java, TensorFlow, PyTorch, and others. Working closely with IT, data science, product development teams, and business leaders, the Principal Engineer will ensure that our technology strategies align with and propel our business objectives.
$250,000 - $400,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Strong proficiency in programming languages such as Python, R, and Java, as well as machine learning frameworks like TensorFlow, PyTorch, and scikit-learn. The ideal candidate will be passionate about advancing biotechnology and possess the leadership skills necessary to guide a talented team of data scientists and machine learning engineers.
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Advanced data analytics designing and building solutions using technologies such as Azure Data Factory, Azure Data Lake, HD Insights, SQL DWH, Stream Analytics, Machine Learning, R Server, Synapse, Azure Machine Learning (AML), Azure Kubernetes Service (AKS) for model deployments, Vector and Retrieval-Augmented Generation (RAG) implementation.
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Coding skills required in at least one leading programming language (Python, R, Matlab and /or C. - Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus. - Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
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Position Overview: As a Data Scientist, you’ll be part of a team leading the next wave of disruption at a whole new scale, utilizing the latest computing and machine learning technologies.
$267,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Knowledge of a range of languages and tools; SQL, Python, Databricks Starburst, Amazon Web Services (AWS) Sage maker, and data visualization solutions. Experience in Large Language Model (LLM) implementations, Machine Learning (ML) solutions such as insights, pattern detection, generative Artificial Intelligence (AI), forecasting, and ML algorithms.
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Present or past Experience in analytic tools such as R, Python, AWS, and Databricks to build advanced analytic models, and exposure to accessing data from cloud platforms and big data systems such as Hadoop HDFS & Hive would be an advantage.
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