Job description

At Pitney Bowes, we do the right thing, the right way. As a member of our team, you can too.

We have amazing people who are the driving force, the inspiration and foundation of our company. Our thriving culture can be broken down into four components: Client. Team. Win. Innovate.

We Actively Look For Prospects Who
  • Are passionate about client success.
  • Enjoy collaborating with others.
  • Strive to exceed expectations.
  • Move boldly in the quest for superior and best in market solutions.
Job Description

The Job
  • Work closely with business partners to analyze and understand business requirements and define the data science problem.
  • Data exploration and feature engineering.
  • Through Research to design innovative data science solutions.
  • Work with platform team for model deployment, monitoring and automated training.
  • Good communication skills.
Required Qualifications & Skills

This role requires a talented self-directed individual with a strong work ethic and the following skills:

Must to have
  • Strong knowledge and experience with advance Machine learning algorithms like XGBoost, GBM and advance deep net architectures (like CNN, RNN, GAN).
  • Well versed with feature engineering and data exploration techniques.
  • Should be able to apply statistical inference tools (like hypothesis testing, CLT, Z-Test, t-test) in real business problem settings.
  • Strong programming background in Python
  • Good communication skills.
Good to have
  • Good exposure to logistics and shipping domain.
Qualification & Work Experience
  • Master’s Degree (Mathematics/ Statistics/ Computer Science/ Simulation)
We Will
  • Provide the will: opportunity to grow and develop your career
  • Offer an inclusive environment that encourages diverse perspectives and ideas
  • Deliver challenging and unique opportunities to contribute to the success of a transforming organization
  • Offer comprehensive benefits globally (
Pitney Bowes is an equal opportunity employer that values diversity and inclusiveness in the workplace.

All interested individuals must apply online.

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.

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