Sr. Manager (Sr. Data Scientist), Pricing & Optimization

The Sr.

Manager (Sr.

Data Scientist), Pricing & Optimization will be expected to operate with minimal supervision and mentor other data scientists to complete analytical tasks and produce model-driven solutions.

As a member of a cross functional team developing data science solutions for Point Sales Pricing and Optimization, the Senior Data Scientist will collaborate with data engineers and other subject matter experts to deliver results which support directional action by business teams across the Loyalty & Partnership, Marketing, Revenue Management, Sales, Operations and Technology functions.

The Senior Data Scientist may partner with other data scientists to establish best practices and thought leadership for a machine learning platform to serve all of IHG.

Your day to day   


* Develop a thorough understanding of business problems through interviewing stakeholders and subject matter experts.


* Address complex business problems using data science, pricing, experimentation, and optimization to drive insight and data-driven decision making.


* Analyze and model structured data using advanced machine learning methods and implement algorithms and software needed to perform analyses


* Derive what is critical and what is extraneous to solving the business problem.

Understand the data requirements for formulating the solution


* Research new data sets and determine their quality and feasibility


* Manipulate data to support various statistical techniques


* Effective story telling with data.

Interpret and communicate analytic results to analytical and non-analytical business partners and executive decision makers


* Identify trends or patterns in complex data sets and recommend courses of action or solutions


* Effectively communicate to various size and levels of audiences to include senior and executive leadership in both verbal and written format

  What we need from you   


* Master's Degree or Ph.D.

in a relevant field of work or an equivalent combination of education and work-related experience.


* Typically, a minimum of 7+ years of progressive work-related experience with demonstrated proficiency in advanced quantitative analysis.


* Excellent understanding of pricing analytics, optimization, machine learning techniques and algorithms, such as Price Elasticity, Optimization, Demand Forecast, XGBoost, Random Forest etc. 


* Applied statistics skills, such as distributions, statistical testing, regression, etc.


* Experience with common data science toolkits in R and Python


* proficiency in query languages such as SQL.


* Experience with data visualization tools e.g.

Tableau.


* Experience working with very large datasets, knowledge of distributed computing tools a plus.


* Strong structured coding skills


* Able to confidently utilize MS Word, MS Excel, MS SharePoint & MS Visio.


* The ability to maintain discretion and confidentiality

Location ...