BI Data Scientist, Customer Experience

at  Rentokil North America

Wyomissing, PA 19610, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate15 Aug, 2024Not Specified16 May, 2024N/AExecutive Leadership,Business Value,Alternative Solutions,Communication Skills,Python,Statistics,Predictive Analytics,Data Architecture,Models,Tableau,Regulatory Requirements,Exploratory Data Analysis,Model Development,Sas,Data Science,RNoNo
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Description:

BENEFITS START DAY 1 FOR FULL-TIME COLLEAGUES - NO WAITING PERIOD!

For more information about our benefits, see below!
We are proud to be a member of the Rentokil family of companies, the global leader in Pest Control and other services across more than 90 countries. We pride ourselves on being a trusted partner to many of the world’s leading brands and serve consumer and business customers across multiple industries. We are extremely proud of our legacy of excellence and constantly work to fulfill our mission to “protect people, enhance lives, and preserve the planet.”
The role leads the development and maintenance of solutions related to end-to-end customer experience data; analytical reporting, business trends and correlations, to predictive modelling which will assist with prioritization and optimization of business initiatives as they relate to improving efficiency and quality of the customer experience. This includes technical design, process design, partnership with data architecture teams to ensure data quality and governance across shared systems and shared applications.

REQUIRED EXPERIENCE

  • Seven (7) years of relevant experience in data science or related analytical field
  • Advanced knowledge of statistical / data mining methods and application
  • Advanced knowledge of statistical and analytical model development
  • Advanced knowledge of data modelling techniques and tools; R, Python, SAS, etc
  • Advanced knowledge of visualization tools like PowerBI, Tableau, Quik, etc.

FORMAL EDUCATION, QUALIFICATIONS OR TRAINING

  • Master’s Degree in Computational Mathematics, Statistics or related field
  • Certified specialist in predictive analytics or other data science related certifications

WORK-LIFE BALANCE

  • Vacation days & sick days
  • Company-paid holidays & floating holidays
  • A company mindset that prioritizes health, safety, and flexibility
    We are looking for individuals who want to make a difference where our customers live and work. Is that you?
    This company is a Drug Free workplace.

OUR COMPANIES ARE PROUD TO BE AFFIRMATIVE ACTION (AA) AND EQUAL OPPORTUNITY EMPLOYERS (EOE) INCLUSIVE OF VETERANS AND THOSE WITH DISABILITIES.

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Responsibilities:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Responsibilities and essential job functions include but are not limited to the following:

  • Lead, coach, mentor and develop team of data scientists and data analysts
  • Lead data mining and collection procedures; maintain governance with data architecture and business intelligence teams
  • Ensure data quality and integrity
  • Interpret and analyze data problems; translate into meaningful information and visualizations to executive leadership, market leaders and other department heads
  • Conceive of, develop, plan and prioritize data projects in partnership with Cx leadership
  • Build analytic systems and predictive models to support ongoing and future data needs
  • Test and evaluate performance of recommended solutions, quantify outcomes and manage tuning cycle for ongoing improvement to systems and models
  • Experiment with new models and techniques to ensure our solutions grow with us
  • Align all data projects with organization goals
  • Build relationships with managers and leaders to size analytical opportunities and create delivery plans to ensure we are positioned to support quality business cases and deliver ROI
  • Facilitate analytical conversations with the business around “the art of the possible using data science”, explore data from a modelling perspective, and perform initial exploratory data analysis to assess business value
  • Ensure model implementations conform to regulatory requirements and produce clear documentation to support
  • Manage analytical projects and coordinate activities with other shared service partners by prioritizing relevant activities and providing subject matter expertise
  • Undertake personal development to ensure up to date skills and knowledge


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Software Engineering

Graduate

Mathematics, Statistics

Proficient

1

Wyomissing, PA 19610, USA