Amazee Global Ventures Inc
Senior Data Scientist
Amazee Global Ventures Inc, Boston, Massachusetts, us, 02298
This is a
Contract W2
opportunity with Amazee Global Ventures Inc.The below job description is a
senior data scientist -level position.We welcome all suitable applicants for this
Contract W2
role.Job Title:
Senior Data ScientistJob Type: Contract W2Job Mode: On siteLocation:
Boston, MADuration: 12+ months (long-term possible)Pay Rate: $60/hr on
Contract W2Job DescriptionResponsibilities:Lead and oversee end-to-end data science projects, ensuring successful implementation and measurable business outcomes.Develop, deploy, and optimize statistical and machine learning models for significant business impact.Mentor and provide guidance to junior data scientists, fostering a collaborative and growth-oriented team environment.Collaborate with cross-functional teams to understand project requirements and align data science solutions with business objectives.Implement and promote MLOps methodologies on cloud platforms such as Azure, AWS, or Google Cloud Platform.Ensure best practices in version control, build, and release pipelines using tools like Git.Manage and analyze large datasets, utilizing relational databases and Big Data environments, including Snowflake, to drive insights.Maintain a high standard of coding proficiency in Python for robust model development and deployment.Qualifications:Education : Bachelor’s degree in Math, Statistics, Physics, Computer Science, or a related field (Master’s degree preferred).Experience : 15+ years in a Data Scientist or Statistician role.Technical Proficiency : Advanced Python skills and expertise in MLOps within cloud platforms (Azure, AWS, or Google Cloud Platform), with cloud certifications being an added advantage.Leadership : Proven experience leading data science projects and coaching junior data scientists.Data Management : Strong background in RDBMS and Big Data environments, such as Snowflake.Model Development : Track record in developing and deploying machine learning and statistical models that deliver measurable results.Version Control : Proficiency in Git and experience with build and release pipelines.
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Contract W2
opportunity with Amazee Global Ventures Inc.The below job description is a
senior data scientist -level position.We welcome all suitable applicants for this
Contract W2
role.Job Title:
Senior Data ScientistJob Type: Contract W2Job Mode: On siteLocation:
Boston, MADuration: 12+ months (long-term possible)Pay Rate: $60/hr on
Contract W2Job DescriptionResponsibilities:Lead and oversee end-to-end data science projects, ensuring successful implementation and measurable business outcomes.Develop, deploy, and optimize statistical and machine learning models for significant business impact.Mentor and provide guidance to junior data scientists, fostering a collaborative and growth-oriented team environment.Collaborate with cross-functional teams to understand project requirements and align data science solutions with business objectives.Implement and promote MLOps methodologies on cloud platforms such as Azure, AWS, or Google Cloud Platform.Ensure best practices in version control, build, and release pipelines using tools like Git.Manage and analyze large datasets, utilizing relational databases and Big Data environments, including Snowflake, to drive insights.Maintain a high standard of coding proficiency in Python for robust model development and deployment.Qualifications:Education : Bachelor’s degree in Math, Statistics, Physics, Computer Science, or a related field (Master’s degree preferred).Experience : 15+ years in a Data Scientist or Statistician role.Technical Proficiency : Advanced Python skills and expertise in MLOps within cloud platforms (Azure, AWS, or Google Cloud Platform), with cloud certifications being an added advantage.Leadership : Proven experience leading data science projects and coaching junior data scientists.Data Management : Strong background in RDBMS and Big Data environments, such as Snowflake.Model Development : Track record in developing and deploying machine learning and statistical models that deliver measurable results.Version Control : Proficiency in Git and experience with build and release pipelines.
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