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10 years of experience in data engineering, data architecture, BI & Analytics, and/or Data Science. Execute the HW Analytics Strategy that includes building a modern Unified Data Warehouse, expanded Self-Service, and Data Science capabilities.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent Master's - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML. What You'll Do Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision-making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company) Collaborate with client data science teams to enhance, scale, and operationalize existing models.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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New York City (Hybrid On-Site): $149,000 - $149,000 for Data Science InternSan Francisco, California (Hybrid On-site): $158,000 - $158,000 for Data Science Intern. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. 2) Data Science/Machine learning track.
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Data science will have an introduction with PYTHON, further into numerical python, PANDAS DATA ANALYSIS, DATA VISUALISATION. Our data science track covers most of the below: Topics and content might change based on the market requirements.
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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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8+ years of relevant data science experience in an applied role - preferable w/in retail, logistics, supply chain or CPG with a focus on NLP and AI. The Data Science team leads the strategy, development and integration of Machine Learning and Artificial Intelligence.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Work Week: Standard (M-F equal number of hours per day) Posting Position Title: Research Specialist University Job Title: Data Scientist Preferred Education, Experience and Skills: Ph. D. in a quantitative field like Economics, Physics, Statistics, Mathematics, Data Science, Engineering, Health Policy or related fields.
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4 years of experience working on data science or image science problems that require subject matter expertise in remote sensing, government collection platforms and image datasets, multispectral imagery (MSI) and synthetic aperture radar (SAR) imagery.
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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The PositionThe Science Engagement Division at the Adler Planetarium (Adler) is seeking candidates for a Postdoctoral Fellowship position in the field of Data Science, with an emphasis on Remote Sensing and Geospatial Analysis.
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Minimum Qualifications Bachelor's degree or higher in data science, computer science, statistics, geographic information systems, sociology/anthropology, or related field AND two (2) or more years of experience in one or more of the following areas: statistical or analysis, data science, program/project management, or policy development.
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data science jobs Company: Vector Marketing in OK, Germany
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