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This position is for an Data Science entry level role in the Verizon Global Network & Technology organization. Current enrollment in a Bachelor's or Master's degree majoring in Telecommunications, Information Technology, Engineering, Data Analytics, Data Science, Computer Science or related majors with a completion date of June 2024.
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Our stack is Snowflake, dbt, Fivetran, Airflow, AWS, Sagemaker, MLFlow, Kubernetes + Docker, Monte Carlo, Hightouch and Python for custom ETL and data science integrations. We are hiring a Senior Data Engineer to join our expanding team in solving complex data and platform challenges to accelerate our growing business.
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We are seeking a talented Data Science Engineer to join our team and contribute to the development and implementation of advanced data solutions using technologies such as AWS Glue, Python, Spark, Snowflake Data Lake, S3, SageMaker, and machine learning (M/L.
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As a Lead Machine Learning Engineer you enable the Data Science team by developing platform tooling, by undertaking Data Engineering, by deploying Data Science models to production and monitoring production performance of Data Science models.
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3+ years as an individual contributor in Data Science, Data Engineering, Data Analytics or Software Engineering field with a track record of delivering impactful data-driven solutions in a business context.
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ENOVIA has an immediate opening in Waltham, MA for a highly skilled developer with a strong background in Data Science & web applications development. Master's Degree in Engineering, Mathematics, or Computer Science- with a focus in Process Mining, Machine Learning, Data Science, and Artificial Intelligence.
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The TetraScience Professional Services Data Science Engineer will report into the Professional Services Team. The purpose of this role is to help customers implement the Tetra Data Cloud by overcoming complex technical, business and data challenges for new clients.
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Support data science efforts, including computational statistics, machine learning, deep learning, interactive web-based visualization. Knowledgeable in common data science packages, such as R: tidyverse and Python: Pandas, NumPy, Scikit-learn.
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Assist group on medical data science projects. The Center for Precision Psychiatry (CPP), a new and dynamic interdisciplinary Center, is seeking a highly motivated data/software engineer to whom will interact closely with Center PIs and staff to accomplish the CPP mission of integrating research into clinical practice to advance the emerging field of precision psychiatry.
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A bachelor's degree in Data Science, Computer Science, Statistics, or a related STEM field. - 2-5+ years of relevant experience as a Data Engineer, Data Scientist or Software Engineer with a focus on data products.
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The hands-on Junior Quant Data Engineer will be a member of the Quantitative Investment Science team and will help with designing/architecting/developing a cloud-based large data and analytics platform using both traditional RDBMS systems like SQL server & modern tools (such as Spark/Data bricks/Azure Synapse or equivalent) and best design practices within our cloud-based Investment Data Analytics Platform, a strategic asset that drives quantitative research and investment decision-making.
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As a Staff Data Infrastructure Engineer on the security data infrastructure team you will help build data infrastructure for the security team. You will build and deploy data pipelines in multi cloud(AWS, Azure and GCP) environments to process data and logs from external SaaS systems The impact you will have: Architect and build data pipelines to collect telemetry and logs from millions of virtual machines running in the cloud(AWS, Azure and GCP.
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Engage directly with customers on data science automation at scale including data pipeline acceleration and optimization. Our client is a leader in automating and accelerating the data science workflow.
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Test data science algorithms and techniques on data sets and engineer data systems that let non-technical users make decisions with their first party data in real time.
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Experience with Azure cognitive services, Databricks, ML & other data science tools including buildind reports for telemetry and quality. Work with engineering data science teams to analyze, design and deliver technology solutions.
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data science jobs Title: data engineer in Boston, MA
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