Data Scientist

As a Data Scientist you will analyze customer data and build high-end analytical models for solving high-value business problems such as demand planning, increase market share, understand customer wants and needs and other intriguing problems. 
You will:
Process and analyze large volumes of (customer) data.
Translate customer business needs into data requirements and analytical techniques.
Build predictive models with advanced machine learning algorithms such as Neural Networks, Decision Trees, Boosting/Ensemble methods and Clustering.
Build forecasting models using time series modeling techniques. 
Interact with customers from the data analysis stage to the final report presentation.
Assist in technical sales support as needed.
Constantly innovate by building new variables; improve modeling techniques to boost model performance; maintain and refine the processes and procedures for building high-end analytic modeling solutions.
Write coherent reports and make presentations on high-end analytical projects.

Preferred Skills
Programming script skills – e.g. shell, Python and SAS
Strong knowledge of applied statistics, probability, data modeling techniques and predictive modeling techniques
Experience with Deep Learning, Artificial Intelligence, Analytics for Event Stream Processing or Decision Management software
Strong customer presentation, demonstration, public speaking and interaction skills
Ability to communicate with people of various technical backgrounds, think analytically, write and edit technical material, relate statistical concepts and applications to statistical and non-statistical users
Strong problem solving, organizational, decision-making skills 
Clear understanding of sales strategies and cycles
Ability to work effectively within a team and work independently
Experience working across industries including but not limited to retail, financial services, communications, high tech, manufacturing and healthcare
Management software