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Internal Application: Scientific Developer

Development | Austin, TX | Full Time

Job Description

Revionics has an immediate opening in our Science Development Team for a Senior Scientific Developer supporting our pricing and inventory optimization solutions. This position involves design, coding, testing, and support of our data cleansing, demand modeling, forecasting, and optimization solutions.  

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.



Who you are: 

Scientific Developers are responsible for development and support of Revionics’ analytical pricing and promotion optimization software.  Scientific Developers work in cross-functional Agile teams along with product management, business analysts, and front-end UI developers.  Our teams use test-driven development methodologies and continuous integration using modern tools (Jenkins, git, NUnit).  Our software is responsible for algorithmic pricing and promotion optimization for some of the world’s largest retailers, requiring a very high level of code quality and automated testing. 
 

  • Design, code, test, and support production software for high-quality, repeatable, and automated data cleansing, demand modeling, forecasting, and optimization solutions in C#
  • Design and implement software with integration to back-end data stores (SQL Server, MongoDB, etc.)
  • Troubleshoot and debug complex software in support of customer implementations
  • Operate in a cross-functional agile software development environment, collaborate with Product Management, business analysts, data scientists, and other technical teams on feature requirements, technical designs, APIs, data model enhancements, and integration touchpoints
  • Work with Data Scientists to implement and integrate algorithms as production-grade software

 

What you Have/Can Do as a Minimum: 

  • Bachelor’s degree in Mathematics, Engineering, CS, or Physical Sciences
  • Expert-level proficiency in an object-oriented language such as C++, Java, or C#
  • Strong proficiency with relational databases, ability to write complex SQL queries (SQL Server / T-SQL, Oracle PL-SQL, etc.)
  • Expert-level proficiency with integrated development environments and run-time debugging of software solutions
  • N-Unit, J-Unit, or similar unit test framework, test-driven development methodologies
  • Experience with API development, REST services
  • Proficient use of git for code management (branch, merge, cherry-pick, etc.)
  • Experience in cross-functional team-based agile development
  • Excellent communications skills
  • Proficiency in mathematics and statistics

 

What You Can Do to Stand Out: 

  • Experience with Jira for work item management
  • Experience with .NET framework, .NET core cross-platform development
  • MS Visual Studio IDE
  • Microsoft SQL Server / T-SQL
  • Linux expertise (Ubuntu)
  • Software-as-a-service (SaaS)
  • Python programming, familiarity with the Python data science ecosystem (numpy, matplotlib, sciKitLearn, etc.)
  • Performance engineering, high-performance computing, code profiling for memory and CPU usage
  • Automated test, build & deployment tools, continuous integration
  • Systems Engineering and Architecture
  • Scalable data platforms / NoSQL solutions (MongoDB, Hadoop, Cassandra)
  • Cloud Service Platforms (AWS, GCP, Azure) and platform services
  • Containerization / Docker / Kubernetes, microservice architectures, orchestration, and autoscaling
  • Experience with queue-based messaging (RabbitMQ, Kafka, GCP Pub/Sub, etc.)
  • Hands-on data analysis and visualization experience, ability to present complex data graphically (distributions, scatter plots, sensitivity analyses)
  • Domain expertise in price optimization, demand forecasting, or inventory optimization
  • Retail or Supply Chain industry experience   

 

Who We Are:

Predictive. Prescriptive. Profitable Retailing.

We provide SaaS-based pricing, promotion, markdown and space solutions. Retailers in all segments across the world adopt our self-funding model to improve top-line sales, demand, and margin. Our customers gain that competitive edge and improve their value proposition while outmaneuvering competitor price aggressiveness.

During the days of first-generation price optimization solutions, at a time where science in retail was viewed as voodoo, our founder Jeff Smith nurtured the concept that there could be a better way. He went on to form Revionics around that new-generation vision, and to this day we remain committed to his goal:  To help retail businesses and everyday users solve complex pricing challenges leveraging the latest machine learning science with a completely transparent process, usable in an intuitive way that fits into retailers’ normal business flows.

Our company success is based on our 4 foundational pillars: 

  • A SaaS-based architecture for fast ROI
  • Productized, transparent science
  • Machine Learning algorithms that continue to evolve with changing market conditions and shopper behaviors for built-in future proofing
  • A supportive culture focusing on both our people and customers’ well-being.

Our Core Values:

  • Integrity: Be honest, dependable and complete
  • Transparency: Anticipate questions and give clear, usable answers.
  • Continuous Improvement:  Be relentless about improvement – for ourselves and our customers
  • Curiosity: Shine lights in dark corners; seek to ensure we know what we don’t know
  • Accountability: Own the problem and the solution
  • Dedication: Don’t stop until the numbers are right and systems are up
  • Humility: Put the spotlight on our customers, not ourselves