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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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The team As a Data Scientist & Machine Learning Engineer, you will work closely with cross-functional teams and other Hitachi group companies to develop and implement data-driven solutions that drive strategic decision-making and deliver large-scale digital transformation for our clients.
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Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in timely manner to automatically tackle the issues or provide recommendations for the next step of solving problem.
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Experience in assessing and implementing new data tools to enhance the machine learning stack. Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Expertise in at least two fields in Natural Language processing (Natural Language understanding, deep learning, Natural Language Generation, Large Language Models, and generative AI) or at least two fields in Data Engineering (ETL data pipeline, big data processing, data warehouse, NoSQL database, distributed/parallel systems, and cloud computing.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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HMIS/HUD: You are a subject matter expertise in one or more of the following domains: Coordinated Entry, HMIS, HUD and/or Federal Partner Requirements & Reporting, Continuum of Care Roles and Responsibilities, Data Quality Improvement, and Data Visualization.
$115,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Data Management andPreprocessing : Lead efforts in data acquisition, cleaning, preprocessing (with neuroscience), and feature extraction to ensure high-quality inputs for machine learning models.
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Looking for an experienced Stock Plan Administrator who has project manage a forward stock split, strong knowledge and usage of Equity Edge Online, familiarity with Merrill Lynch a plus, assist with China SAFE reporting/filing.
$140,000 a yearTemporaryExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Advanced degree in linguistics, computer science, machine learning, cognitive science, psychology, economics, or similar (preferred). Our leading innovative consumer brand is seeking a Data Operations and Market Analyst to join their team.
$33 an hourExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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A variety of underlying technologies are employed to build the mapping and localization systems, including multi-sensor fusion, visual/lidar SLAM, 3D computer vision, and deep learning. Our work integrates sensor data and predictive models to make real-time decisions for smooth and reliable autonomous driving.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
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Skills that the student will gain or get exposure to are: Python, PySpark, Databricks, AWS, FastAPI, DynamoDB, Machine Learning, A/B testing, Data Analysis, Feature Engineering, System design and architecture.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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SAIC is looking for two Data Center Network Administrators in Ashburn, VA and San Jose, CA to support the US Army Corps of Engineers on the Revolutionary IT Services (USACE RITS) through data center hardware (Routers, switches, and wireless) support under a DoD/DISN environment.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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