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Pitney Bowes Data Scientist in Shelton, Connecticut

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:

You are:

You are a Data Scientist at Pitney Bowes. You will thrive on directly impacting the business by utilizing your applied analytical innovation skills to uncover and develop unique market solutions. You work with a senior team that delivers with precision.  You see opportunities where others see challenges. In this role, you’ll join our Commerce Cloud Data & Analytics team and report to the Manager of Data Science .

This position will be located in Shelton, CT – with accomodations for remote working negotiatable.

You will:

  • Apply established analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques and mathematical analyses.  Methods will be implemented using standardized tools and techniques (e.g. Lean SixSigma)

  • Assist in the application of operations research techinques to optimize Pitney Bowes parce shipping network.

  • Assist in the development and execution of new machine learning algorithms and statistical predictive models and determine analytical approaches using common tools (e.g. Python, Jupyterhub, Sanborn, SciPy, Scikit-Learn, Pandas, NumPy, Gurobi, TensorFlow, etc…).

  • Assist in the development and execution of new simulation models using a best in class tools. (e.g. Anylogic).

  • Embrace a measurable and repeatable analytics delivery model with proven industry methodologies (e.g. Agile Scrum/Kanban, CRISP-DM) and supporting tools (e.g. Jira, Confluence, Teams, Gitlab, SageMaker).

  • Encourage team members to probe into technical details that leverage your unique experiences. You will mentor others to do the same as a Data Champion.

  • Using Design Thinking (e.g. Luma) you will anticipate and solve strategic and high risk business problems with broad impact on the business area by applying leading-edge theories and techniques to investigate problems, detect patterns and recommend solutions.

  • Applying various consultative techniques you will provide guidance to crafting and updating Pirney Bowes enterprise-wide analytics strategy and roadmap in the areas you are assigned to.

  • Leveraging visualization tools (e.g. PowerBI, Tableau, Dash, etc…) and storytelling you will interact with internal and external peers and stakeholders to share highly complex information/solutions related to areas of expertise and/or to gain acceptance of new or enhanced technology/ business solutions.

Your background:

As a Data Scientist, you have:

  • Experience in eCommerce, Fuliflllment, Logistics and Supply Chain with either B2B or B2C. Previous capstone and/or projects related to these areas is a significant plus.

  • Experience in building and implementing prediction models and forecasting models.

  • Experience in using Graph structures to implement spatial data (network, transportation, etc…)

  • Experience in operations research, management science, model optimization and/or discrete and continuous simulation modeling.

  • Deliver systematic approaches, integrating work into applications and tools with our cross-functional teams of data engineers, product managers, design teams, business stakeholders, analysts, operational managers, and developers.

  • Demonstrated ability to both sythensize data & analytical results and communicate technical ideas & results to non-technical clients in written, visual and verbal forms.

O ther Qualifications:

  • One of the following

  • B.S. in Computer Science, Computer/Industrial Engineering, Data Science, Operations Research, Mathematics or Statistics with 2-3 years of proven field experience .

  • Advanced Degree (MA/MS, Ph.D) in Computer Science, Computer/Industrial Engineering, Data Science, Operations Research, Mathematics or Statistics.

  • Experience using common data platform tools like AWS, Google Cloud, etc…

  • Proficiency in SQL. A Technical Assessment will be Required

  • The following tools are commonly used at Pitney Bowes

  • Business Intelligence and Visualization tools (e.g. Tableau, PowerBI).

  • Coding Language (Python, Java, R) Data Manipulation (Pandas)

  • Machine Learning Libraries (Scikit-learn, TensorFlow, Keras, Scipy, PyTorch, NLTP)

  • Optimization Libraries (Gurobi, Pyomo, PyOpt) and Process Mining Libraries (PM4Py)

  • Visualization Libraries (Matplotlib, Seaborn, ggplot, Bokeh, Plotly, Geoplotlib)

  • Simulation (Anylogic)

  • Change Management, Collaboration Management, Code Management, and Operational Management (GitLab, Jira, Confluence, Teams)

  • Database (Snowflake, AWS s3, RDS, Redshift, Neo4J)

  • Ability to construct stories from insights with corporate data sources

  • Familiarity with experimental design concepts and practices

We will:

• Provide the 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 ( pbprojectliving.com )

Pitney Bowes is an Equal Employment Opportunity/Affirmative Action Employer that values diversity and inclusiveness in the workplace.

Women/Men/Veterans/Individuals with Disabilities/LGBTQ+ are encouraged to apply.

All interested individuals must apply online. Individuals with disabilities who cannot apply via our online application should refer to the alternate application options via our Individuals with Disabilities link. 

Pitney Bowes is an Equal Employment Opportunity/Affirmative Action Employer that values diversity and inclusiveness in the workplace.

Women/Men/Veterans/Individuals with Disabilities/LGBTQ are encouraged to apply.

All interested individuals must apply online. Individuals with disabilities who cannot apply via our online application should refer to the alternate application options via our Individuals with Disabilities link.

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