Yantriks is now a part of Blue Yonder family, the leading AI-driven Global Supply Chain (SCM) Solutions Software Product Company and one of Glassdoor's "Best Places To Work
The Yantriks Personalized Fulfillment Platform optimizes inventory and fulfillment for retailers. Powered by Yantriks Scaligent Technology - a combination of scalable, highly performant microservices architecture and artificial intelligence - the solution personalizes the shopping and fulfillment experience to offer conveniences modern consumers demand, reduce costs, create the urgency to buy, and drive sales growth and increased customer satisfaction.
The Yantriks Data Science team:
The highly effective 10+ DS and ML team works closely with sales, product and engineering teams to design and implement the next generation retail solutions.
We bear the heavy burden of turning both small, sparse and massive data into actionable insights with measurable improvements to the customer bottom line using rigorous analysis and repeatable processes to implement both black box and interpretable models.
Why be a part of our team?
Truly cutting-edge, large scale machine learning applied to diverse problems in all areas of modern commerce, on data spanning the full retail cycle
Full ownership of a machine learning model, from design to implementation
Freedom to contribute to other ML models as well as collaborate on evaluating new technologies
Empowerment to contribute to open source projects, participate in meetups and conferences, author white papers and patents etc.
What you will do?
Typical projects include sales forecasting, stock-out, markdown predictions, replenishment forecasting, returns forecasting, etc.
Independently, or alongside junior scientists, implement machine learning models by procuring data from platform, client and public data sources. Use data to understand patterns, come up with and test hypothesis; iterate
Build machine learning models using deep neural networks as well as boosted ensembles, and other algorithms more appropriate for the problem
Implement data enrichment and cleansing routines, features, prepare modeling data sets, feature selection, etc.
Evaluate candidate models, compare, select, analyze and report on performance of final one
Ensure proper runtime deployment of models, and Implement runtime monitoring of model inputs and performance in order to ensure continued model stability
Work with product, sales and engineering teams to help shape up the final solution. Help prepare sales materials, estimate hardware requirements, etc. Attend client meetings, online and onsite, to discuss new and current functionality
We'd like you to have:
Bachelor's Degree in Computer Science or related fields with 4+ years of experience producing ML models for business applications
2+ years of hands-on combined experience in predictive and forecasting modeling and analysis
Solid understanding of data science and machine learning foundations and familiarity with deep learning, NLP, reinforcement learning, combinatorial optimization etc.
4+ years of Python programming experience and rich experience working with most of the following frameworks and libraries: Tensorflow, Keras, Pandas, Numpy, sklearn, Jupyter, Matplotlib etc.
Strong grasp of data structures and algorithms
Experience with Big Data platforms such as Hadoop and Spark
Solid experience working with any of the major cloud platforms (GCP, Azure, or AWS).
Reasonable knowledge of modern software development tools, and respective best practices, such as Git, Jenkins, Docker, Jira, etc.
Proven experience guiding junior data scientists in official or unofficial setting
Data Science work in Retail industry settings
Proficiency in Tensorflow, Kubernetes, Kubeflow, Keras
Google Big Query, Kafka, Apache Beam (any non-local runner), Cassandra, Redis, etc.
Production software engineering experience
Advanced skills in writing database queries in SQL and NoSQL environments
Strong debugging and analysis skills, for root causing complex issues
Experience in optimizing, deploying and maintaining models running in real-time at large scale
Proficiency in manipulating unstructured datasets using Python/SQL
Supply Chain Nation
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success - and the success of our customers. Does your heart beat like ours? Find out here: Core Values
Check out Blue Yonder's blog - Supply Chain Nation - the platform for supply chain trends and innovations.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.