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Interpretive science (e.g. Biochemistry, Drug Metabolism, Forensic Toxicology, Medicinal Chemistry, Pharmacology, Physiology, or Toxicology). Graduation with at least a Bachelor’s degree from an accredited college or university in chemical, physical, or biological science; chemical engineering; or forensic science that includes a minimum of sixteen (16) semester credit hours, or equivalent, in college-level chemistry coursework above general chemistry coursework.
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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline. Master's Degree Master' s Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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Auditor III Bachelor’s degree (copy of transcript requested upon interview) or Master’s degree in accounting, business administration, computer science, computer/management information systems, economics, finance, math, public affairs or related fields.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. Chip in to data engineering and data science frameworks, tools, and processes.
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Bachelor's degree in Computer Science, Electrical Engineering, Computational Linguistics, or a related field. Bachelor's degree in Computer Science, Electrical Engineering, Computational Linguistics, or a related field.
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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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Master’s degree in Electrical Engineering (EE) or Electrical and Computer Engineering (ECE) Science, Technology, Engineering, or Mathematics (STEM) degree. Experience using schematic capture tools and interpreting schematics and/or performing advanced FPGA firmware development (VHDL or Verilog.
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Experience with data exploration to find actionable insights and make Product Recommendations through Funnel Analyses, A/B testing, Churn analysis, User Segmentation, Retention Rate, and business KPIs. Digital : Data Science, Digital : Python.
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Bachelor's or Associate degree in Art, Visual Communication, Commercial Art, Computer Graphics, Graphic Design, Interactive Media, Interactive Technology, Computer Science, Human-Computer Interaction, Interaction or Interactive Design, English and/or Technical Communication, Interface Design, UI Design, Visual Design, User Experience Design, Web Design, or.
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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 (Google Cloud Platform, AWS, Azure.
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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn , Deploying and optimizing different pipelines that support various data science processes. Establish and set up model life cycle management with tools like MLFlow , etc · Developing and deploying Spark/Databricks jobs with enterprise tool stack including Jenkins, GitHub Actions · Deployment utilizing containerization solutions like Docker and Kubernetes · Experience with AWS cloud services and running Apache Spark applications.
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Bachelors in geology, hydrogeology, environmental engineering, environmental science, or natural sciences and environmental policy. Bachelors in geology, hydrogeology, environmental engineering, environmental science, or natural sciences and environmental policy.
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Strong understanding of fluid dynamics, thermodynamics, and materials science as they relate to water treatment and mechanical systems. The company also does artificial beaches, urban lagoons, wave pools, surf parks, aquatics, sewage treatment, wastewater, and drinking water.
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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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science job in Austin, TX
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