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Data Scientist
Ref No.: 18-50586
Location: San Ramon, California
Experience Level: 5 Years
Start Date: 07/18/2018
Job Title: Data Scientist
Location: San Ramon, CA
Duration: Full Time (Permanent)

5-10 years of experience.

Technical/Functional Skills
• Master's Degree in a "STEM” major (Science, Technology, Engineering, Mathematics) plus 7 years analytics development for industrial applications in a commercial/industrial setting
OR Ph.D. in a "STEM” major (Science, Technology, Engineering, Mathematics) plus 3 year analytics development for industrial applications in a commercial/industrial setting
• Solid knowledge in statistics and mathematics, good understanding of machine learning and data mining algorithms
• Demonstrated skill in understanding one or more field of bio-process, bio-pharmaceutical, clinical and bio-medical industry
• Clear logic and mind in problem analyzing and team communication
• Demonstrated expertise in modeling and in the development and application of descriptive, applied, and predictive analytics on industrial challenges
• Proven ability in successful leading and managing data analysis projects end to end independently
• Demonstrated skill at data preprocessing, data modeling, data quality assessment
• Demonstrated skill in the use of one or more analytic software tools or languages (Python, R)

Roles & Responsibilities
• Work with customers to capture data and analytics requirements
• Develop, verify, and validate analytics to address customer needs and opportunities.
• Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
• Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
• Perform exploratory and targeted data analyses using descriptive statistics and other methods.
• Work with data engineers on data quality assessment, data cleansing and data analytics
• Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
• Communicate methods, findings, and hypotheses with stakeholders.