John Deere Company

Data Scientist - Customer Success

John Deere Company

Moline, IL, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

John Deere Company is looking for an experienced, passionate, and analytical Data Scientist - Customer Success to join our team. We’re looking for an individual who brings a combination of strong problem-solving skills, business acumen, and technological expertise to understand customer needs, identify trends, and recommend solutions to improve customer experiences.The ideal candidate will have a Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field plus at least five years of experience in data analytics, customer service, and/or business intelligence. The candidate should have strong programming, coding, and software engineering skills, as well as deep knowledge of data mining, data manipulation, and data visualization.We’re looking for someone who is comfortable working in a fast-paced environment, has strong interpersonal and communication skills, and is a creative problem solver. If you’re passionate about data science and customer success, and want to be part of a dynamic and growing team, this opportunity is for you!

Responsibilities:

  1. Develop, implement, and maintain data science solutions to improve customer experiences.
  2. Analyze customer data to identify trends and recommend solutions to improve customer retention.
  3. Utilize programming, coding, and software engineering skills to create and maintain data models.
  4. Collaborate with internal teams to ensure customer data is accurately captured and effectively utilized.
  5. Develop and execute strategies to improve customer satisfaction and customer loyalty.
  6. Evaluate customer feedback and needs to generate actionable insights.
  7. Prepare and deliver reports and presentations on customer trends and outcomes.
  8. Stay up to date with industry trends and best practices for data science and customer success.
  9. Monitor customer success metrics and performance goals.
  10. Lead customer success initiatives to ensure customer success goals are met.
Where is this job?
This job is located at Moline, IL, USA
Job Qualifications
  • Bachelor's Degree In Computer Science

  • Statistics

  • Mathematics

  • Python

  • Excellent Problem-Solving

  • Or A Related Field

  • At Least Years Of Experience In Data Analysis

  • Proficient In Sql

  • And/Or R Programming Languages

  • Experience Working With Data Visualization Tools Such As Tableau And Power Bi

  • Communication

  • And Analytical Skills

  • Ability To Think Critically And Work Effectively With Large Data Sets

Required Skills
  • Sql

  • Project Management

  • Python

  • Business Intelligence

  • Data Analysis

  • Communication

  • Problem Solving

  • Tableau

  • Machine Learning

  • Technical Writing

  • Data Visualization

  • Coding

  • Data Mining

  • Statistical modeling

  • R programming

Soft Skills
  • Communication

  • Leadership

  • Negotiation

  • Problem Solving

  • Time management

  • Interpersonal Skills

  • creativity

  • Organization

  • collaboration

  • Adaptability

Compensation

According to JobzMall, the average salary range for a Data Scientist - Customer Success in Moline, IL, USA is between $62,000 and $93,000 per year. The exact salary range will depend on factors such as experience, education, and specific job duties.

Additional Information
John Deere Company is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedOctober 6th, 2023
Apply BeforeMay 22nd, 2025
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About John Deere Company

John Deere is the brand name of Deere & Company, an American corporation that manufactures agricultural, construction, and forestry machinery, diesel engines, drivetrains used in heavy equipment, and lawn care equipment.

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