Diabetes Youth Families

Data Scientist

Diabetes Youth Families

full-time

Posted on:

Location Type: Hybrid

Location: California, Massachusetts • 🇺🇸 United States

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Salary

💰 $96,600 - $144,900 per year

Job Level

JuniorMid-Level

Tech Stack

AWSAzureCloudCognosGoogle Cloud PlatformMS SQL ServerOraclePythonSQLTableau

About the role

  • Support research and development of global analytics and data science initiatives.
  • Collaborate with IT and cross functional teams to identify data sources, design data ingestion, clean up, and pre-processing scripts as needed.
  • Leverage cloud computing technologies for automated machine learning and analytics pipelines, such as Azure, AWS, GCP, etc.
  • Explore data patterns using existing data science tools and self-created programs.
  • Perform statistical analysis, predictive modeling, and generate automated reporting as required.
  • Mentor junior engineers/scientists.
  • Clearly communicate findings to a broad audience, in relation to business objectives.

Requirements

  • Bachelors or master’s degree in mathematics, Computer Science, Electrical and Computer Engineering, or a closely related field is preferred.
  • At least 2 years of work experience on machine learning, artificial intelligence, or statistical inferences.
  • Experiences in manufacturing, medical device, and/or healthcare industries is desirable.
  • Experience in one or more analytic software tools, such as Python, R, Matlab.
  • Demonstrated proficiency in SQL and one or more relational databases, such as Oracle, Teradata, Microsoft SQL Server, etc
  • Experience in Business Intelligence tools, such as Tableau, Spotfire, Cognos.
  • Demonstrated knowledge of software engineering principles and practices.
  • Ability to work independently without detailed guidance, while maintaining effective communications with leaders and stakeholders.
  • Ability to communicate effectively and document objectives and procedures.
Benefits
  • Hybrid working arrangements
  • Opportunities for tremendous career growth

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningartificial intelligencestatistical analysispredictive modelingdata ingestiondata cleaningdata preprocessingSQLsoftware engineering principlesanalytics
Soft skills
mentoringcommunicationindependent workcollaborationeffective documentation
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