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Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. This role spans the spectrum of data capabilities from data vision and strategy all the way through data science, in addition to cloud, DevSecOps , and integration capabilities.
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This role involves technical and thought leadership across the spectrum of data capabilities, from data vision and strategy all the way through data science. Data Science contributions include assessing, understanding, designing, and implementing machine learning and AI applications, designing MLOps pipelines, and supporting data scientists.
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As an integral part of our team, you will not only need to tackle operational challenges at every layer of the system infrastructure, but also set up essential tools like Spark, Databricks, Snowflake, Kubernetes, and Kafka for data science infrastructure.
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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. 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.
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Work with seniors as well as Data Engineering and IT to plan and deliver MLOps for AI/ML infrastructure and SaaS API services as member of data science team through collaboration. Your expertise in Python, shell scripts, SageMaker, IaaC (Ansible, Terraform), CI tools, Docker, Kubernetes and similar tools will drive efficiency and performance.
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Bachelors in mathematics, statistics, data science, or social science. Build scalable and reproducible work in Python or R including data ingestion, quality checks, cleaning, analysis, modeling, and output.
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6+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role 6+ years of programming experience with modern languages such as Python, R, C#, Java, or Scala.
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Doctoral degree and 7+ years of experience in a research discipline relevant to patient-centered outcomes research (e.g., clinical epidemiology, health services research, sociology, psychology, health policy, biostatistics, economics, bioinformatics, data science, education or health education.
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The ideal candidate will have a solid understanding of Java and Python programming languages, along with experience working with Databricks for data engineering tasks. Familiarity with Databricks for data engineering tasks including ETL processes, data visualization, and machine learning.
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Software, Information Technology, Consulting, Artificial Intelligence, Software Development, Data Science, Cloud Computing, Cybersecurity, Computer Software, Telecommunications. Experience working as a developer writing Python code along with the Infrastructure as Code (IaC) required to deploy with either AWS CDK or Terraform.
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Skilled with Python, Git, shell scripts, terminal (grep, sed, awk), Ansible, Docker, and Terraform. Strong communication skills, able to bridge the gap between data scientists, data engineers and external security, networking, DevOps and other IT infrastructure teams.
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In the role, you will collaborate with engineers and data professionals to foster the use of data science, advanced analytics, machine learning, and other techniques to amplify solutions in EC’s issue areas.
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Similar Jobs (5) Data Scientist - Digital Innovation and Technology Group - Campus 2024 locations 2 Locations time type Full time posted on Posted 11 Days Ago Data Analyst and Governance Strategist locations US - VA, McLean time type Full time posted on Posted 11 Days Ago Senior Consultant - AI/ML Data Science Consulting, Health Segment - Campus 2024 locations 5 Locations time type Full time posted on Posted 11 Days Ago.
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Knowledge, skills, and relevant experience in one or more of the following is required: - Designing and implementing machine learning - Data mining - Advanced analytical algorithms - Programming - Data science - Advanced statistical analysis - Artificial Intelligence - Computational science - Software engineering - Data engineering.
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Familiar with Data Science frameworks such as Keras, Tensorflow, or Theano. 2+ years of related data science/statistical experience and 1+ years of software engineering or data engineering experience.
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