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Data Scientist (Commercial)

Data Scientist (Commercial)

  • 2021-23563
  • Hercules, California, United States

We are seeking a data scientist to be part of a commercial global analytics team responsible for supporting commercial operations utilizing innovative tools, methods and best data practices. The ideal candidate will develop and partner with technical teams as well as various business stakeholders to develop and improve new processes and measure through automation and machine learning.

Responsibilities

  • Participating in identifying, experimenting and testing of new ways to deliver value from combinations of operational data, customer data and third-party data sources.
  • Transforming and blending complex datasets both structured and unstructured into scientific insights.
  • Performing descriptive, exploratory and inferential statistical analysis as well as supervised and unsupervised machine learning.
  • Building data pipelines for processing natural language text at scale.
  • Developing front-end tools and interfaces (e.g. notification and alert systems, dashboard reports) for internal clients to view and interact with processed data.
  • Staying on the cutting edge of technology and Data Science.
  • Serving as Data Science representative for the global analytics center of excellence.
  • Coaching and assisting business users along the journey from Excel style analytics to advanced Big Data style analytics.
  • Interact with commercial operations to analyze data from experimental and operational data, customer data and third-party data sources, develop statistical methods, communicate with the team, and write analysis protocols.
  • Develop machine learning-based algorithms using Python or equivalent software interacting with SQL databases for data analysis and report.
  • Describe algorithms and pertinent statistical analysis to broad project team and effectively communicate with technical and non-technical audiences.
  • Provide statistical support to commercial operations.

Qualifications

  • PhD or Master Degree in statistics, computer science or mathematics or similar quantitative field with 0-2 years experience OR
  • Bachelor’s Degree in statistics, computer science or mathematics with at least 3+ years experience.
  • Experienced in standard statistical methods including hypothesis testing, regression analysis, linear and non-linear models, data aggregation, unsupervised learning methods and visualization.
  • Experienced in standard statistical methods including hypothesis testing, regression analysis, linear and non-linear models, data aggregation, unsupervised learning methods and visualization.
  • Comfortable with SQL relational databases for data management.
  • Excellent communication skills (verbal and written).
  • Fluency in Python & R (RStudio, R Markdown).
  • Microsoft PowerBI Experience.
  • Strong written and verbal communications skills; comfortable communicating with senior levels of both business and technology leadership.
  • Ability to work onsite or remotely.

About Bio-Rad:

Bio-Rad is a global leader providing a broad array of clinical diagnostics and life science research products. With a team of more than 8,000 employees and a global network of operations serving our customers, we help people live longer, healthier lives.

Bio-Rad was founded over six decades ago and has continued to provide the healthcare industry with innovative and useful products that help life science researchers accelerate the discovery process and medical diagnostic labs obtain faster, better results.

EEO/AA Employer/Veterans/Disabled/Race/Ethnicity/Gender/Age

 

Agency Non-Solicitation: 

Bio-Rad does not accept agency resumes, unless the agency has been authorized by a Bio-Rad Recruiting Representative. Please do not submit resumes unless authorized to do so. Bio-Rad will not pay for any fees related to unsolicited resumes.

 

 

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