Data Scientist - Statistician

Salary depends on experience
Posted on 06/18/18
Less than 5 years experience
Accounting, Finance & Insurance
Salary depends on experience
Posted on 06/18/18

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Quick Stats:

Job ID: 

R6598 Data Scientist - Statistician (Open)

Summary:

This position requires an advanced degree and experience with experimental design/design of experiments (DOE) and predictive modeling.

This position supports organizational strategy and operations through design and statistical analysis of business initiatives and experiments. Works with business partners to understand what the business needs and issues are to address. Applies advanced knowledge of statistics and data mining (e.g., predictive modeling, simulation) or other mathematical techniques to recognize patterns and create insights from business data. Designs, develops, and evaluates statistical and predictive models that lead to business solutions. Serves as lead statistician for the unit, providing expertise, oversight and guidance on statistical analysis efforts. Communicates findings and recommendations to management across different departments. Supports implementation efforts.

Responsibilities:

Travel Requirements

  • This position requires travel up to 10% of the time.

Specialized Knowledge and Skills Requirements

  • Demonstrated experience providing customer-driven solutions, support or service
  • Demonstrated experience building predictive models utilizing advanced statistical analysis, including generalized linear models, decision trees, logistic and multivariate regression.
  • Demonstrated experience communicating business implications of complex data relationships and results of statistical models to multiple business partners.
  • Demonstrated experience utilizing advanced descriptive statistics and analysis techniques (such as forecasting, analysis of variance, t-tests, categorical data analysis, nonparametric data analysis, cluster analysis, factor analysis and multivariate statistical analysis) design business experiments and measure the impact of business actions.
  • Demonstrated experience with statistical and modeling software tools, such as SAS, SPSS or R.
  • Demonstrated experience working with various business partners to scope and design the statistical framework for business experiments, and socialize and help integrate results of analysis of experiments.

Education/Licenses/Designations

  • MS degree in Mathematics, Statistics, Economics, Engineering or related field or equivalent designation.

Additional Job Information:

This position requires an advanced degree and experience with experimental design/design of experiments (DOE) and predictive modeling.

Based on experience, we are open to considering a candidate with a related graduate level degree and 3+ years of experience or a PhD with 2+ years.

Offer to selected candidate will be made contingent on the results of applicable background checks.

Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions.

Relocation assistance is available.


Job Description:

Primary Accountabilities
Statistical Research & Model Development (55%)

  • Works with business partners to identify and scope new opportunities for statistical analysis applications to evaluate business performance and to support business decisions.
  • Works internally and with I/S and Enterprise Data Management to define, secure and prepare datasets for statistical modeling.
  • Explores data using a variety of statistical (e.g., data mining, regression, cluster analysis) techniques to answer business questions or guide future model development.
  • Builds programs for running statistical tests on data and for understanding correlation of various attributes.
  • Builds hypotheses, identifies research data attributes and determines best approach to address business issues.
  • Working with business partners, leads development of experimental design for business initiatives.
  • Applies advanced statistical techniques, including analysis of variance, t-tests, factor analysis, regression and multivariate analyses or simulation, to analyze the effects of business initiatives.
  • Builds predictive models (e.g., logistic regression, generalized linear models) as appropriate to support business partner objectives and business needs.
  • Incorporates findings and provides industry and competitor insights as part of model development and enhancement.
  • Prepares testing scenarios and tests model performance.
  • Provides guidance and direction related to statistical analysis to less experienced Strategic Data & Analytics staff as needed. Provides peer review related to analytics methods and results.
  • Responsible for advanced analytics, including experimental design and analysis, for the most complex business experiments.


Model Consultation, Implementation, & Communication (30%)

  • Serves as statistical expert within the unit as well as in consultation to various areas of the business, to support design and analysis of business experiments.
  • Leads analytics projects or components related to large, complex business initiatives.
  • Prepare recommendations and findings for business partners.
  • Works with research and analytics staff and other areas of the business on model application and implementation.
  • Effectively communicates and delivers statistical and predictive model results to business partners, supporting socialization and adoption of analysis results into business activities and decisions.
  • Assists with knowledge transfer and training to business areas regarding new analytics applications as part of implementation process.
  • Works closely with business stakeholders to identify and answer critical questions.
  • Assists in development of standard analytical approaches and methodologies for the department. Provides knowledge transfer and training on new modeling and statistical analysis tools and methodologies to less experienced staff.


Industry Research (15%)

  • Researches and maintains awareness of industry best practices and business strategies.
  • Proactively brings in new and innovative ideas and approaches to develop business solutions.
  • Researches and leverages new statistical techniques and technologies to apply in their statistical research work.

R6598

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