Eligibility: We are unable to accommodate individuals on F1/CPT/OPT visa status for this position.

Any applicant who applies that is of this status, their application will be automatically rejected. 

Role: Data Scientist 1

Location: Dallas, TX (this role will work hybrid – at least 2 days per week in the office, 2 to 3 days remotely)

Overview:

• Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor’s “Best Places to Work”
• Seeking an astute individual that has a strong technical foundation with the additional ability to be hands-on with the broader engineering team as part of the development/deployment cycle, and deep knowledge of industry best practices, Data Science and Machine Learning experience with the ability to implement them working with both the platform, and the product teams.

Scope:

• Our machine learning platform ingests data in real time, processes information from millions of retail items to serve deep learning models and produces billions of predictions on a daily basis.
• Blue Yonder Data Science and Machine Learning team works closely with sales, product and engineering teams to design and implement the next generation of retail solutions. Data Science team members are tasked with turning both small, sparse and massive data into actionable insights with measurable improvements to the customer bottom line.

What you will do:

• As a Data Scientist, you serve as a specialist in the engineering team that supports the team with the following responsibilities:
• Independently, or alongside junior scientists, implement machine learning models by Procuring data from platform, client, and public data sources.
• Implementing data enrichment and cleansing routines.
• Implementing features, preparing modelling data sets, feature selection, etc.
• Evaluating candidate models, selecting, and reporting on test performance of final one
• Ensuring proper runtime deployment of models, and
• Implementing runtime monitoring of model inputs and performance in order to ensure continued model stability.
• Work with product, sales and engineering teams helping shape up the final solution.
• Use data to understand patterns, come up with and test hypothesis; iterate.
• Help prepare sales materials, estimate hardware requirements, etc.
• Attend client meetings, online and onsite, to discuss new and current functionality

Our current technical environment:

• Software: Python 3.0
• Frameworks/Others: TensorFlow, PyTorch, Big Query/Snowflake, Apache Beam, Apache Spark, Kubeflow, Dataflow, Databricks, Kubernetes, Kafka, Pub/Sub, and Flask.
• Application Architecture: Scalable, Resilient, Reactive, event driven, secure multi-tenant Microservices architecture.
• Cloud: Google Cloud and/or Azure

What we are looking for:

• Bachelor’s Degree in Computer Science, Statistics, Data Analytics, Engineering or similar.
• Solid understanding of data science and deep learning foundations.
• Minimum 1 to 2 years of hands-on Python programming experience and strong grasp of data structures.
• Experience working with at least 2 of following frameworks and libraries: Pandas, NumPy, Keras, TensorFlow, Jupyter, Matplotlib etc.
• Experience in any database query language, SQL preferred.
• Knowledge of Big Data tech such as Snowflake, Apache Beam/Spark/Flink, and Databricks. etc.
• Experience working with any of the major cloud platforms, preferably Azure and/or GCP.
• Reasonable knowledge of modern software development tools, and respective best practices, such as Git, Jenkins, Docker, Jira, etc.
• Familiarity with deep learning, NLP, reinforcement learning, combinatorial optimization etc.
• Provable experience guiding junior data scientists in official or unofficial settings.
• Desired knowledge of Kafka, Redis, Cassandra, etc.

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The salary range for this position is $85,788 - $108,212.

The salary range information provided, reflects the anticipated base salary range for this position based on current national data.  Minimums and maximums may vary based on location.  Individual salary will be commensurate with skills, experience, certifications or licenses and other relevant factors.  In addition, this role will be eligible to participate in either the annual performance bonus or commission program, determined by the nature of the position.