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Cross-functional Collaboration - Interface with Product, Engineering, Data Science, Analytics/BI, and Operations to understand their data needs, providing both consultative and data engineering solutions for consumers.
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Bachelor's or Master's degree in Computer Science, Electrical Engineering, Computer Engineering. Hands-on experience analyzing and exploring large data sets utilizing Python or Databricks/Spark.
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With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics.
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As a member of the data engineering team, you will be the key domain expert overseeing PepsiCo's business process and drive a strong discussion for how Supply Chain, Financial, Consumer, Channel, Category business needs to be defined and prioritize by working very closely with business leads, data science team and data engineering team.
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Minimum a bachelor’s degree in a quantitative field such as mathematics, statistics, data science, physics, computer science, or engineering, etc. The ideal candidate is excited about delivering state-of-the-art and practical data science solutions in the construction industry.
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Technical undergraduate degree (Engineering, Computer Science, Statistics, Analytics etc.) Familiarity in analytical and data modeling tools, such as Python, R, or PyCharm. Advanced SQL skills to get the data you need from a data warehouse and perform data segmentation and aggregation from scratch.
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Keywords: Data Science | AI/ML | NLP | SQL | AWS | Data Visualization | Experimentation | Customer Experience. 5+ years of experience in Data Science (AI/ML & NLP focus.
$65 an hourExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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These solutions support enterprise information management, business intelligence, machine learning, data science. Bachelor's or master's degree in computer/data science technical or related experience.
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Job Title: Azure Data Architect (Onsite) The Principal Architect will play a crucial role in driving innovation and efficiency within our organization. We are seeking a highly experienced Principal Architect with 20 to 24 years of experience to join our team.
$175,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Must be an undergraduate currently enrolled in a full-time academic program, in Junior year, from an accredited college or university, majoring in Computer Science, Information Technology, Business Analytics, Data Engineering, Software Engineering or another related field.
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The mission of the Gen AI Platform team is to boost the productivity of the data science and engineering community at Netflix. As a team, we come from many different countries and our fields of education range from the humanities to engineering to computer science.
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Toyota Financial Services (TFS) Data & Analytics (DnA) team is looking for a highly motivated, driven graduate students with an interest in technology, financial services, and the automotive industry to fill internship roles in our Data Science team.
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Experience applying data science techniques in a commercial enterprise, including supervised, unsupervised learning, NLP, time-series forecasting, and other statistical analyses. in a production setting using large amounts of data.
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Consults on designing and developing of complex programs and tools to support ingestion, curation and provisioning of complex enterprise data to achieve analytics, reporting, and data science.
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science job Title: data in Allen, TX
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