Pitney Bowes Jobs

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:

Responsibilities

With minimal guidance:

• Apply established analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques and mathematical analyses

• Actively curate customer related information into structured domains for rapid analytical prototyping

• 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…)

• 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

• Applying various consultative techniques you will provide guidance to crafting and updating Pitney 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

• 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, developers and engineers?

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

Qualifications

• One of the following: B.S. in Computer Science, Data Science, Operations Research, Mathematics or Statistics or a related field

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

• 4+ years of experience in advanced analytical domain

• Working knowledge of the tools/technologies such as:

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

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

• Able to lead and adapt to changing priorities

• Highly collaborative, flexible, and communicative

• Strong organizational skills

• Self-motivated

Must have

• Experience in using advanced statistical modeling techniques, including creating and deploying machine learning models

• Proficiency in SQL, Python and/or R languages

• Past exposure to client and marketing analytics

• Previous capstone and/or projects related to these areas is a significant plus

• Experience using common data platform tools like AWS, Azure, and Google Cloud

• Ability to construct stories from insights with corporate and 3rd party data sources

• Experience with or willingness to learn the following tools that are commonly used at Pitney Bowes:

• Business Intelligence and Visualization tools (e.g Power Bi, ThoughtSpot, Streamlit, Plotly);

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

• CRM tools (Salesforce, Adobe Analytics).

Good to have

• Familiarity with project management tools such as : GitLab, Jira, Confluence, Teams

• Comfortable presenting recommendations to colleagues and stakeholders

• Experience in coaching junior members

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 ( P B Live Well )

Pitney Bowes is an equal opportunity employer that values diversity and inclusiveness in the workplace.

All interested individuals must apply online.

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.