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Studying Business Analytics, Data Engineering, Data Science, Computer Engineering, Electrical Engineer, or Computer Science. 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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This position requires:A bachelor’s degree in computer science, business or equivalent experience and eight or more years of experience as a data engineer, with strong proficiency Databricks, and Azure Data Factory.
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Master's Degree or Ph. D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field.
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Bachelors Degree Required with majors in Biomedical Science, Computer Science, Mathematics, Engineering or business-related field preferred. Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
$107,925 - $179,875 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Master's degree in data science, mathematics, statistics, computer science, artificial intelligence, or engineering. Ph. D. degree in computer science, data science, mathematics, artificial intelligence or engineering.
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Graduate degree with research/work experience utilizing data science techniques (including but not limited to Computer Science, Statistics, Political Science, Biology, etc.
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PhD or Master's degree in Engineering, Technology, Computer Science, Machine Learning, Robotics, Operations Research, Statistics, Mathematics, or equivalent quantitative field. Join us to do the best work of your career and make a profound social impact as a Senior Manager, Data Science on our growing and dynamic Data Science team in Austin, Texas.
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Preferred Qualifications Education and Experience Advanced degree in research methods, economics, public policy, program evaluation, statistics, data science, or other quantitative social science discipline.
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MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent. Use of statistical models including experience with regression, classification, clustering, NLP, and computer vision.
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Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc. Utilization of embedding models and Vector DBs to transform and store natural language data.
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Feel free to take a free 5-minute java test:- 2) Data Science/Machine learning track Data science will have an introduction with PYTHON, further into numerical python, PANDAS DATA ANALYSIS, DATA VISUALISATION. Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science.
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An advanced degree in a quantitative field, such as statistics, econometrics, finance, mathematics, computer science, data science, engineering, business. This role also requires candidate to have the capability in building effective relationship with stakeholders from various teams such as data, privacy, legal, security, data science, engineering, product, compliance, audit.
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Bachelor's or Master's degree in quantitative field, Engineering, Computer Science, Physics, Applied Mathematics, Statistics, Economics, or related fields. Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions.
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Bachelor's or Master's degree in computer science, information technology, electrical engineering, data science, or a related field. Strong technical expertise in data center technologies, including server infrastructure, storage systems, networking, virtualization, and cloud computing.
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Graduate degree in Data Science Geographic Information Systems, Computer Science, Social Work, Communication, Business, Marketing, or related field. Utilizes geographic information systems (GIS), Salesforce and other data visualization tools to create and/or analyze accurate and up-to-date maps depicting broadband and digital opportunity availability to identify service gaps and underrepresented communities.
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computer science jobs Title: data in Austin, Fernley, Nevada
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