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Current Master's - Data Science Internship - Summer 2025. 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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Experience or academic work with large scale data analysis Data Science Internship. New York City (Hybrid On-Site): $149,000 - $149,000 for Data Science Intern San Francisco, California (Hybrid On-site): $158,000 - $158,000 for Data Science Intern Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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Data science (Experience): Sagemaker, Athena, Glue, DynamoDB, Databricks, MWAA (Airflow), We are seeking a talented AWS DevOps/MLOps Architect to develop platforms for big data and data science on AWS. As models, apps, and data pipelines are created and operationalized, the bigdata and data science team requires engineers with understanding of cloud native technology to develop, manage, automate, and facilitate the operational capabilities of the big data and data science team.
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Digital Solutions: Strong candidates will have a strong foundation in computer science, software engineering/application building, and data visualization and an interest in developing user-friendly, robust, and fit-for-purpose applications for R&D. Qualifications: Enrolled in BS or MS program in Computer Science, Data Analytics or associated field.
$55.4 an hourInternExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Minimum education and experience required: Master's degree in Applied Computer Science, Computer Engineering, or related field of study plus 3 years of experience in the job offered or as Infrastructure Engineer, Production Engineer, Systems Analyst, IT Consultant, System Administrator or related occupation.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Client is seeking a talented AWS DevOps/MLOps Lead to develop platforms for big data and data science on AWS. As models, apps, and data pipelines are created and operationalized, the bigdata and data science team requires engineers with understanding of cloud native technology to develop, manage, automate, and facilitate the operational capabilities of the big data and data science team.
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Required background/ Skillsets: Prior working experience in Data bricks Snowflake Python Data science background Proficiency in Python for software development and scripting. Hands-on experience with Databricks and Snowflake for data engineering and analytics.
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Bachelor’s or Master’s degree in wildlife biology, rangeland ecology, environmental science, forestry, botany, soil science, or a closely related natural resource field. Join a team that has the environment down to a science.
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We are seeking a skilled Data Science Engineer who will be responsible for overseeing the maintenance and improvement of current machine learning implementations within our Revenue Cycle line of business.
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AWS (experience mandatory): S3, KMS, IAM, EC2, ECS, BATCH, ECR, Lambda, Data Sync, EFS, IAM Roles, Policies, Cloud Trail, Cost Explorer, ACM, AWS Route53, SNS, SQS, ELB, CloudWatch, Lambda and VPC, Service Catalog.
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At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. We are collaborative and data-centric, with every associate focused on creating our customers unique experience and delivering results through our omnichannel business model.
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Education- Bachelor of Science degree in Electrical/Control Enginerring, Mechanical Engineering, Chemical Enginerring, or Computer Science or equal experience. The person chosen for this position will interact directly with the customer and lead a team of Wunderlich-Malec engineers in identifying requirements, developing specifications, and implementing/testing/commissioning/qualifying automation solutions.
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Bachelor's degree in Planning, Landscape Architecture, Urban Design, Engineering, Geology, Biology, Environmental Science, Anthropology, Archaeology, or related field and 8 years relevant experience.
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5+ years of experience in a technical security role (e.g. Penetration Testing, Red Team, Application Security, Infrastructure Security); or master’s degree in computer science/engineering or related cyber field, and 2 years of relevant experience.
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And VHDL as well as scripting languages) on embedded Linux and real-time operating system platforms (QNX, Motorola, Intel, TI, and custom processor designs) Qualifications: Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Wireless Engineering, Information Security, Mathematics, Digital Arts & Sciences or related field Preferred Skills: One or more of the following: C.
Full-timeExpandApply NowActive JobUpdated 9 days ago
science job Title: data science lead in Plano, TX
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