Senior Specialist, HR Data Science - Kenilworth, NJ Job

Senior Specialist, HR Data Science - Kenilworth, NJ-HR 000617

Description

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. Today, we are building a new kind of healthcare company – one that is ready to help create a healthier future for all of us.

Our ability to excel depends on the integrity, knowledge, imagination, skill, diversity and teamwork of an individual like you. To this end, we strive to create an environment of mutual respect, encouragement and teamwork. As part of our global team, you’ll have the opportunity to collaborate with talented and dedicated colleagues while developing and expanding your career.


The Sr. Specialist, HR Data Science position is responsible for leveraging advanced analytic techniques to quantify, forecast, predict, and influence human capital decision making. This position works within the Workforce Analytics team to influence leadership on all aspects of human capital strategy, planning and execution.

Responsibilities:

- Supports the development of statistical models & methodologies in order to quantify, forecast, or predict & thereby influence human capital decision making.
- Conducts advanced data analysis and utilizes/develops appropriate algorithms to discover patterns and associations.
- Effectively communicates findings and methodological approaches to business audiences.
- Applies advanced statistical and predictive modeling techniques to build, maintain, and improve human capital decision making capability
- Supports ongoing improvements to methods and algorithms that have significant impact on business opportunities

Qualifications

Education:

- Bachelors degree from an accredited institution in Industrial/Organizational Psychology, Organizational Behavior, Economics, Statistics or other related fields and a minimum of 6 years of experience providing data-driven business analysis and reporting - OR - a Masters degree in similar area of study plus a minimum of 4 years of experience providing data-driven business analysis and reporting
Required:

- Minimum of four years of human capital applied quantitative and qualitative research and analytics experience in a business setting.
- Proficiency in the use of statistical packages (e.g., SAS, R, or SPSS—SAS preferred)
- Proficiency in statistical analysis, text mining, forecasting/predictive analytics, multivariate testing, optimization algorithms, and simulation techniques.
- Excellent communication and interpersonal skills
- Some industry/business knowledge
Preferred:

- Experience developing analytic solutions to loosely defined business problems by leveraging pattern detection in large datasets
- Experience using machine learning algorithms and simulation software
- Survey design and analysis experience

Our employees are the key to our company’s success. We demonstrate our commitment to our employees by offering a competitive and valuable rewards program. Our Company’s benefits are designed to support the wide range of goals, needs and lifestyles of our employees, and many of the people that matter the most in their lives. If you need an accommodation for the application process please email us at staffingaadar@merck.com.

Search Firm Representatives Please Read Carefully:

Merck & Co., Inc. 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:

EEOC Poster

EEOC GINA Supplement​

Job Keywords: Data Science, Organizational Behavior, Economics, Statistics, Industrial/Organizational Psychology, I/O Psychology, Human Capital, Quantitative, Qualitative, Analytics, SAS, SPSS, Statistical Analysis, Text Mining, Forecasting, Predictive, Multivariate Testing, Optimization Algorithms, Simulation Techniques, Pattern Detection, Datasets, Machine Learning, Survey Design, Kenilworth, NJ


Merck is an equal opportunity employer, Minority/Female/Disability/Veteran – proudly embracing diversity in all of its manifestations.


Job: HR Process, Systems and Analytics

Job Title:Sr. Spclst, HR Operations

Primary Location: NA-US-NJ-Kenilworth

Employee Status: Regular

Travel: Yes, 5 % of the Time

Number of Openings: 1

Company Trade Name:Merck