Revionics Customers Include


Revionics has an immediate opening in our Research Team for a Senior Scientific Developer supporting our price and inventory optimization solutions. This position involves design, coding, testing, and support of our data cleansing, modeling, forecasting, and optimization platform. This individual must be an excellent programmer and be comfortable with advanced mathematical algorithms. Revionics is a fast- paced environment with multi-disciplinary teams developing state-of-the-art solutions to challenging business problems. The successful candidate must be creative and willing to develop a thorough understanding of the science and business rationale behind Revionics’ products, services, and methodologies. 

About us: 
Revionics delivers the industry’s most powerful End-to-End Merchandise Optimization solution, enabling retailers of all sizes to execute a fact-based Omni-channel merchandising strategy utilizing the most comprehensive set of shopper demand signals to enhance financial performance with improved customer satisfaction. Revionics’ solutions leverage advanced predictive analytics and demand-based science to ensure retailers have the right product, price, promotion, placement and space allocation for optimal results across all touch points in the Omni-channel shopping episode – online, in-store, social and mobile. Offered on a scalable, high performance Cloud-based SaaS platform, these solutions future-proof retailers from Big Data/Fast Data challenges, while providing speed-to-ROI. Over 33,000 retail locations and $140+B in annual revenue across grocery, drug, building materials, convenience, general merchandise, discount, sporting goods stores and eCommerce sites optimize with Revionics’ solutions. Revionics has been recognized as a 2012 Deloitte Technology Fast 500™, Red Herring Top 100 Global, Red Herring Top 100 Americas and JMP Securities’ Hot 100 Software Company. For more information, please visit www.revionics.com.

Roles and Responsibilities: 
The Scientific Consultant is responsible for supporting Revionics’ analytical pricing software.  Scientific Consultants are responsible for developing an expert-level understanding of the core scientific capabilities of Revionics’ solutions, configuration of the system to maximize value, and delivery of  analytical services to Revionics’ customers.  The Scientific Consultant must also be able to explain advanced concepts to business users and customer IT personnel. 

Key Responsibilities: 
• Design, code, test, and support production software for high-quality, repeatable, and automated data cleansing, modeling, forecasting, and optimization
• Design and implement software in a relational database as well as in a high-level programming language.  
• Create standardized processes to design, code, test, and support high-quality production software for implementing scientific algorithms
• Create and implement mathematical models and scientific algorithms including the development of robust, rapid, and efficient numerical algorithms
• Execution of proof-of-concept pilots and implementation support
• Knowledge transfer throughout the organization, internal presentations, and white papers establishing thought leadership and capability excellence in the Revionics platform 

Requirements: 
• Advanced degree (Masters or Ph.D.) in Mathematics, Engineering, CS, or Physical Sciences
• Expert-level proficiency in an object-oriented language such as C++, Java, or C#
• Strong proficiency working with relational databases and ability to write SQL queries (SQL Server / T-SQL, Oracle PL-SQL, etc.)
• Ability to apply complex mathematical and statistical approaches to business problems
• Excellent communications skills
• Hands-on data analysis experience and the ability to produce data visualizations to present complex data graphically (distributions, scatter plots, sensitivity analyses)
• Experience with integrated development environments and embedded debugging of applications
• Firm understanding of probability & statistics 

Optional Skills: 
• Experience with .NET framework
• MS Visual Studio IDE
• N-Unit, J-Unit, or similar unit test framework, test-driven development methodologies
• Microsoft SQL Server / T-SQL
• Parallel processing / grid computing experience
• Monte Carlo methods or other simulation techniques
• Experience solving optimization problems using techniques such as linear and nonlinear programming, genetic algorithms, simulated annealing
• Hierarchical and non-hierarchical clustering techniques (K-means, agglomerative clustering, divisive clustering, graph theory, QT clustering)
• Factor analysis, sensitivity analysis, spectral analysis, eigen systems analysis, Principal Components Analysis (PCA)
• Decision theory, discrete choice models, propensity modeling, multinomial logit choice models
• Statistical analysis, optimization and data visualization packages/platforms such as Matlab, SAS, SPSS, R, CPLEX, AIMMS, or KNITRO
• Domain expertise in price optimization, demand forecasting, or inventory optimization
• Retail or Supply Chain industry experience   

To Apply For This Job:  
If you are interested in joining the Revionics team, please e-mail your resume to hr@revionics.com

(Note: Please be aware that not all submissions will result in a response) 

Featured Events

Panel Discussion: Trends in Pricing and Promotions for 2017

Panelists include Andres Valdivieso, CIO of Farmacorp; John Fleming, former EVP/Chief Merchandising Officer for the Wal-Mart; Sahir Anand, Principal Analyst and VP Research at EKN Research; and Cheryl Sullivan, Chief Strategy & Marketing Officer at Revionics.

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98th Annual WAFC Convention

Join us at WAFC! Our team is eager to meet you and share how our solutions are helping food chains around the globe to expand margins, increase sales, and create a sustainable competitive advantage.

Palm Desert, CA | May 6-10, 2017 | Schedule a Meeting

Revionics Insight 2017

The excitement is building for Insight 2017, a high-energy interactive event bringing together the top minds in retail for two days of networking, learning, knowledge sharing and innovative sessions.

Austin, TX | Sept 24 - 27, 2017 Save the Date!

Thought Leadership

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Featured eBook | Stop Paying the Price for Bad Promotions

Download this eBook and discover how to deliver PROFITABLE promotions today.

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