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Data Scientist (Banking/Financials)

Location: Denver, CO
Company: Pitney Bowes
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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:
A Self-motivated Contributor who can design and build datasets that solve business problems. You are a Determined team player who can use data to predict and influence customer behaviors to meet organizational objectives.
You will:
· Contribute to the creation of a new analytics team serving all facets of the Financial Services business, with a focus on data governance
· Develop and operationalize data management and benchmarking, including data normalization, cleaning, and mapping of data into a normalized structure
· Develop models in support of sales enablement, revenue forecasting and portfolio management
· Develop, support, and deliver business review documents on a regular cadence
· Create and publish reporting and dashboards, anticipating relevant questions and analysis
· Comfortable explaining analysis to a non-technical audience, understanding and translating operational challenges to achieve data led solutions. Can build and present data in a consumable manner (presentations, dashboards) that answer business questions
Your background:
As a Data Scientist, you have:
· Degree in Statistics, Computer Science, Data Analytics, a related quantitative discipline
· Experience with statistical modelling and analytical techniques & working with Python, SQL, and R
· 2+ years' experience working in a Data Science/Data Analysis/Statistics role in a commercial or consumer financial environment
· Statistical techniques such as linear/logistic regression, clustering, decision trees, time series analysis, machine learning, A/B tests, GLM, Bayesian Methods)
· Experience with data, including querying, aggregation, analysis, and visualization is a benefit
Desirable:
· Experience in a Financial Services or Commercial Bank
· Masters or PhD in related field
· Experience with rate making and financial forecasting
· Experience with Snowflake, SAP HANA
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.
Apply for this job

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