Data Scientist II

5 - 7 years experience  • 

Salary depends on experience
Posted on 03/27/18
5 - 7 years experience
Salary depends on experience
Posted on 03/27/18

Overview

Bio-Rad is looking for a Data Scientist!

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.

Qualifications

  • PhD or Master Degree in statistics, computer science or mathematics or similar quantitative field with 3-5 years’ experience.
  • Candidates with Bachelor’s Degree in statistics, computer science or mathematics with at least 6+ years’ experience.
  • Fluency at least 2 of the following: R, Python, Java, C, C++, Go, Scala, SQL, Bash.
  • Version Control with Git.
  • At least 2 years of experience with big data platforms including Hadoop, Hive, Spark.
  • At least 2 years of experience with at least one of the following: Amazon Web Services, Microsoft Azure, Google Cloud Platform.
  • Deep understanding of the mathematical and theoretical foundations of search technologies, statistical analysis and machine learning.
  • Strong practical and applied knowledge of data retrieval and analysis techniques including Search, descriptive statistics, supervised and unsupervised machine learning, NLP, deep learning.
  • Knowledge of biomedical domain literature resources (e.g., PubMed, PubMed Central, ontologies, controlled vocabularies) and tools (BioPython, BioConductor, BLAST, Muscle) a plus.
  • Strong written and verbal communications skills; comfortable communicating with senior levels of both business and technology leadership.

Requisition ID 2017-5369

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