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We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry’s business. Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry’s pricing strategy.
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1+ years of experience in Cloud Data Engineering including GCP, Databricks, Snowflake. Bachelors Degree Required with majors in Biomedical Science, Computer Science, Mathematics, Engineering or business-related field preferred.
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PhD in Data Science, Statistics, Computer Science Mathematics, Chemistry, Biochemistry or relevant field. Bachelors Degree in a relevant field (Computer Science, Statistcis, Data Science, Chemistry, Biochemistry, etc.
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Data Science Analyst (Lead) | 8-11 Years | Data Science - Python, Data Modeling. Consume and design KPIs scores along a time continuum to design and deliver an interactive dashboards that enables business to monitor DQ performance currently and trend overtime, also slice & drill into the underlying defective data.
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Partner on and serve as the data science and technical lead for demand forecasting and the burgeoning demand planning function. Bachelor’s degree in analytical field (Business, Economics, Finance, Mathematics, or Data Science) or equivalent experience.
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Bachelor’s Degree in Geology, Hydrogeology, Soil Science, Environmental Science or closely related discipline. Provide guidance with data collection efforts for extracting, identifying, and compiling environmental data from soil sampling, soil gas sampling, groundwater sampling, stormwater sampling, boring logs, and other matrices for projects, investigations, and surveys.
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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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Strong understanding in the machine learning and data science technical ecosystems (e.g., Tensorflow, Pytorch, MLflow, Ray, LangChain, Data lake house (Databricks), Snowflake, SageMaker, Scikit-learn, etc.
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Graduation from a four-year accredited college or university with major course work in data science, business analytics, computer science, computer information systems, management information systems, accounting, finance, mathematics, statistics, economics, or a related field is required.
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Comfortable with Microsoft SQL data technologies (SSAS/SSIS/SSRS)What could set you apart:Bachelor's or Master's degree in computer science, engineering, or a related field. What you will likely bring:Strong experience in Microsoft Azure Proficiency in data processing frameworks such as Azure Spark, or cloud-native data processing services (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB) Experience with data integration and ETL (Extract, Transform, Load) processes, including tools like cloud-native orchestration services.
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Proficiency with OCI-Data Science, Oracle Data Integrator (ODI) and Oracle Integration Cloud (OIC) strongly preferred. Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, Google Cloud Platform, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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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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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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Bachelor’s Degree in Geology, Hydrogeology, Soil Science, Environmental Science, Environmental Engineering or closely related discipline. Prepare complex data and visualizations such as soil analyses, groundwater assessments, maps, geologic cross-sections, and other illustrations.
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data science jobs Title: science director in Texas
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