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Integrating Databricks with other AWS products such as SNS, SQS, and MSK.What we are looking for: Bachelor's or master's degree in computer science, Information Technology, or a related field. Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem.
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Our team collaborates multi-functionally across the DTC organization and partners with different business functions such as Data Science, Business Operations, Product, Marketing, Engineering, Finance, and more to generate insightful, compelling, and strategic analyses and recommendations.
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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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Degree: JD or Bachelor's, Master's degree in a relevant discipline (e.g., Accounting, Criminal Justice, Finance, Information Systems, Information Technology, Law and Policy, Legal Studies, Management Information Systems, Pre-Law, Political Science.
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Act as a conduit between MongoDB Data Science and business stakeholders across GTM pillars, including but not limited to Sales, Marketing, Growth and Customer Success organizations. We are growing adoption of data science models across the business, and you will help us increase this velocity substantially.
$143,000 - $281,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Solidly established Global FinTech Firm is looking for an analytics savvy, data driven individual to join its Human Resources Analytics and Products Team as a People Analytics-Data Science & Reporting Analyst.
$115,000 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB. Bachelors or Master's degree in Data Analytics, machine learning, Computer science, artificial intelligence, statistics, data science or related discipline.
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Qualifications Bachelor’s degree in computer science, Data Science, or data engineering 3-5 years of experience as a Data Analyst with exposure to data governance practices.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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You will be responsible for executing our consultative, solutions-based sales process end-to-end, from initial prospecting through contract execution, including close coordination with the rest of our Go-To-Market organization, including pre-sales (e.g., Solutions Architects, Data Science Solutions) and post-sales (e.g., Deployment Leads.
$227,000 - $290,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience using data visualization software such as PowerBI or R Shiny. A bachelor's degree from an accredited college or university in a related field (Social Sciences, Political Science, Computer Science, Criminology, Criminal Justice etc.
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Strong knowledge of SQL and Python libraries used for data science. Experience in data visualization and business analytics tools like Alteryx, Tableau and Microsoft PowerBI is a plus.
$135,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data ScientistPrimary Location: Manhattan, New York V-Soft Consulting is currently hiring for a Data Scientist for our premier client in Manhattan, New York. Education and Experience » Masters degree or higher in statistics, computer science, mathematics, economics, engineering, or other technical field.
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At Fit:Match, you would work cross-functionally with another top global talent with experience in the technology, data science, apparel design and fit, marketing, and retail industries. Cloud Services: AWS Console, Amazon EC2, Amazon S3, AWS Lambda, Amazon RDS, DynamoDB About the Company Fit:match is a B2B2C technology company on a mission to revolutionize the apparel industry through data science to deliver increased relevance and satisfaction for shoppers, improve retail economics and help the industry as a whole make significant strides towards sustainable apparel retail.
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A Baccalaureate Degree from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study; and.
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