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Scientific Developer Revionics
ObjectiveRevionics 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 fastpaced
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 most advanced price, promotion, and markdown optimization solution available to
retailers. Our predictive technology accounts for price, promotion, and markdown activities enabling a
coherent view of customer demand. This proprietary approach applies advanced analytics and science to
predict customer behavior, empowering retailers to make better decisions, improve customer loyalty, and
achieve their overall financial objectives.
Revionics solutions are delivered on a modern, fully scalable, pay-as-you-go, software-as-a-service
platform. Our clients include retailers in grocery, automotive, drug, building materials, convenience,
general merchandise, and discount stores.
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
| Location: | Roseville, CA United States |
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Revionics
Investors: Sierra Ventures, Velocity Venture CapitalAll Jobs: at Revionics
| Web Site: | www.revionics.com |
|---|---|
| Headquarters: | 4208 Douglas Blvd Suite 300 Granite Bay, CA 95746 United States |
| Industry: | Software |
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