Data Science Senior Specialist Job

Employer
Merck
Location
Austin, TX, US
Posted
October 12 2017
Organization Type
Pharma
Requisition ID: INF004752

Merck & Co., Inc. Kenilworth, N.J., U.S.A. known as Merck in the United States and Canada, is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where Merck has codified its 125-year legacy. Merck’s success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.

Merck’s Information Technology organization partners with colleagues across the business to help serve our patients and customers around the world. Ours is a high energy team of dynamic, innovative individuals dedicated to advancing Merck’s contribution to global medical innovation by leveraging information and technology to efficiently advance the business by driving revenue and productivity.
 


How will you invent the future?


 


As a Data Science Senior Specialist at Merck’s Austin IT HUB, you will be part of inventing tomorrow. Our Innovative centers are where great people come together and deliver solutions that save and improve lives.


 


You will:



  • Help design and develop innovative quantitative approaches and enable decision making across all business divisions of Merck to influence key programs/projects including those for predictive modeling and mining.

You will also be responsible to:



  • Demonstrate deep understanding of customers’ or stakeholders’ needs, requirements and expectations.

  • Build and share in-depth domain knowledge of research and trends in one or more sub-specialty areas of data analytics with cross-functional stakeholders.

  • Design and guide development of applications, platforms and business processes to derive value through scientific analytics.

  • Lead a team of data scientists in successful completion of project deliverables.

  • Help train data sciences staff in use of appropriate data sciences analytics and applications software.

  • Incorporate company vision, goals and direction in strategy development; and exercises judgment in solving problems within standard procedures and practices.

  • Stay abreast of current industry best practices.


You will work and learn more about:



  • Pharmaceutical business

  • Data Analytics

  • Development in various languages including R, SAS, MATLAB, Mathematica, Python, or equivalent
Qualifications

Education:



  • PhD, or a Master's degree.

 


Required:



  • A minimum of five years of experience, in Data Sciences, Mathematics, Statistics, Computer Sciences, or Engineering.

  • Ability to independently design and execute complex quantitative projects by developing hypotheses and analytical strategies.

  • Able to present to key business stakeholders with findings/conclusions using business terms and data visualization.

  • Excellent verbal and written communication skills to share results and conclusions to technical and non-technical audience.

  • Highly knowledgeable in use of one of more of standard analytical software such as R, SAS, MATLAB, Mathematica, Python, and database querying languages.

Preferred:



  • Aware of applications, platforms and business processes relevant to scientific analytics.

  • Works with fellow data scientist team members to collectively and successfully complete tasks towards project deliverables.

  • Hands-on experience in big data analytics, data mining, NLP (Natural Language Processing), or Hadoop is a plus.

Your role at Merck is integral to helping the world meet new breakthroughs that affect generations to come, and we’re counting on your skills and inventiveness to help make meaningful contributions to global medical advancement. At Merck, we’re inventing for life.

If you need an accommodation for the application process please email us at staffingaadar@merck.com.

Search Firm Representatives Please Read Carefully:
Merck is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Merck via email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Merck. No fee will be paid in the event the candidate is hired by Merck as a result of the referral or through other means.


 


Visa sponsorship is not available for this position.


 


For more information about personal rights under Equal Employment Opportunity, visit:
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Job: Information Technology
Other Locations:
Employee Status: Regular
Travel: Yes, 5 % of the Time
Number of Openings:
Shift (if applicable):
Hazardous Materials:
Company Trade Name: Merck