Salary
💰 $96,600 - $144,900 per year
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.
- 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