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22 Dec 2015

Full-Time Data Scientist @ Billerica, Massachusetts, U.S.

MilliporeSigma, Inc. – Posted by andreaduda Billerica, Massachusetts, United States

Job Description

Data Scientist – Big Data Software Engineer

(2 Openings – Fulltime)

The ideal person will enhance our team by combining analytical skills and business sense to develop data-driven products. This hybrid of data science and product development requires a talent for communicating and connecting with technical and non-technical collaborators alike. Ideally you will have experience bringing data products to market on a tight timeline, where “market” might include commercial settings, open source contributions, or collaborative research. We value data scientists who can quickly implement elegant solutions to complex problems. While you are excited by cutting-edge methods, your fascination with these technologies does not distract you from straightforward solutions. Not least, you should share our enthusiasm for using enterprise and public data to support better decisions at all levels of enterprise.

Required Experience and Skills:

  • Excellent Communication, collaboration and team skills Desired Experience and Skills:
  • 1+ years working with and developing  within a Hadoop platform
    • Implementing MapReduce Jobs
    • Designing data queries against data in the HDFS environment using tools such as Apache Hive, Spark
  • Experience with any of the following is desirable: entity resolution, natural language processing, information retrieval, graph databases, streaming analytics
  • Attention-to-detail balanced with ability to prioritize
  • Familiarity with contemporary business practices such as lean product development
  • Creative and versatile problem-solving skills
  • Fluency with analytical programming, including libraries for cleaning, reshaping, exploring and visualizing data; 2+ years’ experience with R or Python preferred
  • Demonstrated ability to produce high-quality, product-focused, scalable analysis on tight timelines
  • Strong statistical skills and familiarity with machine learning techniques, and the ability to clearly convey complex concepts with plain language
  • Self-starting leadership experience and entrepreneurial initiative
  • Ability to identify and visualize relationships within large, not obviously related data sets.
  • Analytical and problem-solving skills, and ability to work with incomplete or imperfect data
  • Experience with various visualization tools (Tableau, R, etc.)
  • Experience with various database systems (i.e. Oracle)
  • Experience with development tools and tools platforms (i.e. Flume, Sqoop, PIG, HIVE, etc.)
  • Experience  writing to network-based APIs, preferably REST/JSON or XML/SOAP
  • Experience developing application using REST API architecture  a plus
  • Experience developing using an AGILE Methodology (i.e. SCRUM, LEAN, etc.)

Education Minimum Requirement:

PhD, MSc Degree or BSc Degree or equivalent with relevant experience in Computer Science, Computer Science Engineering, Math, Electrical or Chemical Engineering with an empasis on process control theroy, Data Science or equivalent experience.

EMD Millipore:  EMD Millipore plays an integral part in the life science community, harnessing our passion and innovation to help researchers and drug producers around the world. As science advances, we advance with it, offering new insight and cutting-edge technologies helping our customers solve the world’s most challenging human health issues.  Our promise to our customers is that we’ll be there every step of the way.  EMD Millipore is a division of Merck KGaA, Darmstadt, Germany. Merck KGaA, Darmstadt, Germany is a global pharmaceutical and chemical company with a history that began in 1668, and a future shaped by around 40,000 employees in 64 countries.The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, or any other classification protected by applicable federal, state, or local law.  This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to his/her Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because he/she made a good faith report of discrimination.

The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, or any other classification protected by applicable federal, state, or local law.  This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to his/her Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because he/she made a good faith report of discrimination

Position will require 50% travel.

How to Apply

We have 2 openings and here are the links to apply: https://career012.successfactors.eu/sfcareer/jobreqcareer?jobId=128262&company=merckgroup&username= https://career012.successfactors.eu/sfcareer/jobreqcareer?jobId=128841&company=merckgroup&username=    

Job Categories: Data Scientist / Statistician. Job Types: Full-Time. Salaries: More than $100,000.

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