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50869719 Data Scientist NGSE - Parsippany, NJ

Job Information

ID :
#35917191
# of Positions :
1
Minimum Education Level :
Master's Degree
Experience Required :
2 years
Duration :
Full Time Regular
Shift :
Unspecified
Hours per week:
40

Job Description

 

POSITION SUMMARY
Summarize the primary purpose & key accountabilities of the position,
including scope of responsibility in 5-7 concise sentences. (i.e. Global
vs. Country/Region) It may be helpful to complete this section after you
have finished the other sections of the document.
The role will directly enable the development of an advanced-analytics
enabled enhancement of the go-to-market sales strategy. The candidate
will produce insightful analytic data models to capture and explain
performance trends of the Zoetis Sales Force, while driving optimization
opportunities and proactive direction for the Sales Organization. The
candidate will interface across the organization to answer challenging
analytical questions and highlight customer-related insights, such as
revenue generation ideas and strategies to detect and prevent potential
customer defection. The candidate will also produce creative solutions
to complex business problems using advanced analytical techniques, while
leveraging both internal and external data sources. The role will
involve frequent interaction with key stakeholders across the sales and
marketing organizations and provide the candidate with an exceptionally
broad view of every aspect of Zoetis' business, while serving as
critical support for the US Petcare division.
To be successful, the ideal candidate will demonstrate a thirst for
knowledge and natural curiosity to enable rapid learning of the Zoetis
business model and data infrastructure at a scale to support a growing
$2b region. The position involves working with structured and
unstructured real-world data, requiring a candidate who is comfortable
thinking independently about solving business problems. Candidates must
be self-motivated, detail-oriented, have the ability to work with
limited supervision, and must be comfortable in an environment of
changing priorities. Candidates should have a strong business acumen,
with evidence of delivered business value, preferably in a commercial
setting

POSITION RESPONSIBILITIES
In order of importance, list the primary responsibilities critical to
the performance of the position. It is recommended not to list actual
tasks but focus on essential responsibilities that highlight
accountability and level of judgment required.

Build predictive models to inform advanced insights, account
prioritization, next-best-action, campaign optimization, and commercial
test-and-learn for NGSE
Perform predictive analytics to identify core opportunities to drive
business value, utilizing machine learning techniques such as logistic
regression, random forests, collaborative filtering, sentiment analysis
and topic modeling
Generate buy-in and engagement by effectively communicating results
through presentations and visualizations

ORGANIZATIONAL RELATIONSHIPS
Provide the primary groups or key positions that this position will have
interaction with as a regular part of the position responsibilities.
Include any external interactions as appropriate.

RESOURCES MANAGED

EDUCATION AND EXPERIENCE
Indicate the formal education, certification or license required and/or
preferred. Include the minimum number of years of relevant experience
required for the position (where legally permissible).

\*Masters from an accredited college/university in Computer Science,
Statistics, Mathematics, Operations Research, or related field
\*Minimum of two years of professional experience working as a Data
Scientist

TECHNICAL SKILLS REQUIREMENTS
Indicate the technical skills required and/or preferred, as
applicable.
\*Demonstrated experience building deployed prediction models to create
business value, preferably in sales and marketing applications
\*Strong analytical mind and business acumen; ability to translate
mathematical models and results into business concepts
\*Excellent interpersonal, written, and verbal communication skills;
demonstrated ability to effectively communicate complex ideas to a
non-technical audience
\*Experience in building predictive models in R or Python
(Pandas/PySpark)
\*Experience in large-scale/distributed computing and analytics (Hadoop,
Spark)
\*Strong statistics acumen including design of experiments
\*Knowledge of SQL
\*Experience with source control and collaboration tools (e.g. Git)
\*Experience working in a cloud environment (Azure, AWS, Google Cloud)
\*Experience in data engineering a plus
\*Tableau / data visualization experience a plus
\*Software development / engineering experience a plus
\*Experience in scaled model testing, integration, and deployment
(DevOps) a plus
\*Experience working in Microsoft tech stack including SQL Server and
Azure preferred

PHYSICAL POSITION REQUIREMENTS
Note the physical conditions in which work will be performed, if
applicable to the position. Examples: ability to travel, drive, unusual
attendance requirements, weekend work or travel requirements, location
of the position, ... etc.

Position is based in Parsippany, NJ
Fluency in English required

Full time

Regular

Colleague

Zoetis is committed to equal opportunity in the terms and conditions of
employment for all employees and job applicants without regard to race,
color, religion, sex, sexual orientation, age, gender identity or gender
expression, national origin, disability or veteran status or any other
protected classification. Disabled individuals are given an equal
opportunity to use our online application system. We offer reasonable
accommodations as an alternative if requested by an individual with a
disability. Please contact Zoetis Colleague Services at
zoetiscolleagueservices@zoetis.com to request an accommodation. Zoetis
also complies with all applicable national, state and local laws
governing nondiscrimination in employment as well as employment
eligibility verification requirements of the Immigration and Nationality
Act. All applicants must possess or obtain authorization to work in the
US for Zoetis. Zoetis retains sole and exclusive discretion to pursue
sponsorship for the acquisition or maintenance of nonimmigrant status
and employment eligibility, considering factors such as availability of
qualified US workers. Individuals requiring sponsorship must disclose
this fact. Please note that Zoetis seeks information related to job
applications from candidates for jobs in the U.S. solely via the
following: (1) our company website at www.Zoetis.com/careers site, or
(2) via email to/from addresses using only the Zoetis domain of
“@zoetis.com”. In addition, Zoetis does not use Google Hangout for any
recruitment related activities. Any solicitation or request for
information related to job applications with Zoetis via any other means
and/or utilizing email addresses with any other domain should be
disregarded. In addition, Zoetis will never ask candidates to make any
type of personal financial investment related to gaining employment with
Zoetis.

Company Information

Name :
Zoetis
Description :
Zoetis is a global animal health company dedicated to supporting customers and their businesses in ever better ways. Building on 60 years of experience, we deliver quality medicines and vaccines, complemented by diagnostic products and genetic tests and supported by a range of services. We are working every day to better understand and address the real-world challenges faced by those who raise and care for animals in ways they find truly relevant.
Type :
Direct Employer
Address :
100 Campus Dr.
Florham PArk, NJ 07932

Application Information

Online :
Job Posting Entered On :
4/27/2021
Job Posting Expires On :
7/26/2021