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Applied Scientist

Category:Contract
Location: Seattle, Washington 98109
Posted:Wed, April 03, 2019
Salary:Up to US$0.0 per hour
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Applied Scientist
6 month contract
(Potential for contract to hire)
Seattle, WA

*Not available for corp to corp engagement

Overview:
Our high-profile client is seeking an Applied Scientist with experience in statistical forecasting modeling in Python for a 6 month contract assignment in Seattle.

Responsibilities:
This team is responsible for all contacts in all counties the Company does business with.
In this role, you will be working with other team members who do the same thing.
Develop advanced statistical forecasting models in Python to improve forecast accuracy (variance and MAPE).
Work closely with business customers to identify and address forecasting issues and opportunities.
Analyze forecasting metrics to uncover trends and find root causes of forecast inaccuracy.
Build metrics, reports and dashboard to analyze key inputs to the forecasting system and key outputs including forecast accuracy and variance, and impact on downstream business metrics.
You are comfortable presenting your findings to large groups, both internally and externally.

Requirements:
MBA Operations / Finance or M.S. Data Science from a top tier business school.
4-5 years of total experience in advance data analytics out of which at least years 2 years should be with a top tier consulting firm.
Ability to access data very well;Primarily to build models.
Experience with statistical forecast modeling in Python.
Exceptional quantitative and analytical abilities Advance Excel, Access and SQL skills.
Deep knowledge of statistics and experience applying SPSS, SaaS and other analytical tools.
Experience in designing and building data infrastructure / automated reporting tools.
Ability to build the framework for the analyses and to drive decisions with the derived insights.

Preferred skills/experience:
MBA - Finance and Operations/ Phd.Data Science from a top tier business school.
A total of 5-6 years of experience in advance data analytics out of which 3-4 years should be with a top tier consulting firm.
Experience with statistical forecast modeling in Python.
Experience handling terabyte size datasets.
Knowledge and direct experience using BI reporting tools (Tableau, Business Objects, Cognos, Pinnacle, MicroStrategy, etc.).
Experience with statistical forecast modeling in Python.
Strong ability to communicate (written and verbal) complex analyses and conclusions in clear, simple ways.

Experis is an Equal Opportunity Employer (EOE/AA)

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