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MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent. Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc.
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Utilization of embedding models and Vector DBs to transform and store natural language data. CGI is seeking a Sr. Data Scientist to join our Emerging Technology Practice. Data Narration and storytelling with demonstrated ability to present to executive audience.
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We look for Data Scientists who are passionate about building and deploying machine learning models, have experience with the full stack end-to-end AI lifecycle, exposure to Generative AI and Large Language Models, and are great communicators.
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5+ years of hands-on experience in applied data science and/or economic research (real estate or housing experience preferred). Coding ability and intimacy with the data science toolkit in an applied context (R, Python, Pandas, NumPy, SQL.
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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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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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Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.
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Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia.
$260,500 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Education - Graduation from an accredited four year college or university with a major in Biology, Chemistry, or Forensic Science related area and successful completion of twelve (12) semester or equivalent credit hours covering biochemistry, genetics, and molecular biology or (molecular genetics) AND a three-semester credit hour (or equivalent) college-level statistics course from an accredited university or a program approved by the Commission is also required.
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The primary role of the Medical Science Liaison (MSL) is to engage in meaningful peer-to-peer scientific dialogue with healthcare system leaders such as Regional Thought Leaders (RTLs), National Thought Leaders, and Healthcare Professional (HCPs) within a defined geography to translate science into patient care.
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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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Experience with data visualization and dashboarding technologies (e.g. plot.ly, Dash, Streamlit) You have a BA/BSc degree in Computer Science, Machine Learning, Electrical Engineering, or related technical field.
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Bachelor's degree in environmental science, environmental engineering, water resources management, geography, ecology, or a related discipline. This position will perform data analysis tasks and support the development of data tools as part of project teams that serve clients with the U.S. Environmental Protection Agency and other government agencies in the areas of drinking water protection, climate resilience, and surface water quality management.
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Experience with databases, data lakes, data modeling and data analytics with products such as PostgreSQL, Snowflake, Elasticsearch, Elk, and/or Qlik. Bachelor's Degree in Computer Science or Engineering; Master's degree a plus and/or equivalent work experience.
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Knowledge of basic data science methods, such as regression, classification, tree-based, and time series methods. Profound technical expertise in end-to-end analytics, including building pipelines, data modeling, generating insights, and familiarity with common data science techniques.
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data science jobs Title: data architect Company: Anthem in Austin, TX
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