Staff Data Scientist

Dallas, United States

Blue Yonder

Transforming supply chains through an end-to-end platform for planning, execution, commerce and returns.

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Role: Staff Data Scientist

Location : Dallas, TX ( No Remote )

Overview:

Join Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily.

Collaborate closely with sales, product, and engineering teams to spearhead the design and implementation of cutting-edge retail solutions. Helps the team get better technically, mentors junior associates, and keeps customer

success in focus, in particular:

  • Is responsible for designing, developing, and testing new algorithms, models, or solving approaches based on machine learning, operation research, or

  • other techniques to solve a Blue Yonder business problem with little or no supervision.

  • Develops prototypes and proofs of principles for innovative features.

  • Integrates new models and algorithms into a product solution.

  • Mentors team with scientific libraries and development tools.

  • Develops quality software (including test code) according to clean code principles and Blue Yonder standards.

  • Considers operational aspects of machine learning services in early design stages and strives for more automation and self-service to reduce operational efforts for themselves and the team.

  • Empowers team members by sharing knowledge and providing hints so they come up with their own solutions.

  • Leads by example.

Technical Environment

Operate within a sophisticated technical landscape, utilizing Python 3.* and frameworks such as TensorFlow, PyTorch, BigQuery, Apache Beam,

Apache Spark, Kubeflow, Dataflow, Kubernetes, Kafka, Pub/Sub, and Flask. Our application architecture follows a scalable, resilient, reactive, event-driven

, and secure multi-tenant Microservices design, hosted on Google and Azure Cloud. 

Responsibilities:

- As Staff Data scientist, you will be a guiding the team in the implementation of machine learning models and deep learning tools. 

- Collaborate with cross-functional teams to execute data enrichment, cleansing routines, and feature selection. 

- Evaluate candidate models, select the final model, and report on test performance. 

- Ensure proper runtime deployment of models and implement runtime monitoring for continued model stability. 

- Drive collaboration with product, sales, and engineering teams to shape the final solution. 

- Utilize data to understand patterns, formulate and test hypotheses, and iterate as needed. 

- Play a key role in preparing sales materials and estimating hardware requirements. 

- Lead client meetings, both online and onsite, to discuss new and current functionality. 

Qualifications:

- Bachelor’s Degree in Computer Science or any other related field is required

- Min 5 years of experience with strong foundation in data science and deep learning principles. 

- Proficient in Python programming with a solid understanding of data structures. 

- Experience with frameworks and libraries like Pandas, NumPy, Keras, TensorFlow, Jupyter, Matplotlib, etc. 

- Expertise in a database query language, preferably SQL. 

- Familiarity with Big Data technologies like Snowflake, Apache Beam/Spark/Flink, and Databricks. 

- Solid experience with major cloud platforms, preferably Azure and/or GCP. 

- Knowledge of modern software development tools and best practices, including Git, Github Actions, Jenkins, Docker, Jira, etc. 

- Familiarity with deep learning, time series, NLP, reinforcement learning, and combinatorial optimization. 

- Proven experience in team leadership, mentoring junior data scientists in an official or unofficial capacity. 

- Desired knowledge of Kafka, Redis, Cassandra, etc. 

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The salary range for this position is $128,125.00 - 163,976.90

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.

At Blue Yonder, we care about the wellbeing of our employees and those most important to them. This is reflected in our robust benefits package and options that includes: 

  • Comprehensive Medical, Dental and Vision 

  • 401K with Matching 

  • Flexible Time Off 

  • Corporate Fitness Program 

  • A variety of voluntary benefits such as; Legal Plans, Accident and Hospital Indemnity, Pet Insurance and much more

At Blue Yonder, we are committed to a workplace that genuinely fosters inclusion and belonging in which everyone can share their unique voices and talents in a safe space. We continue to be guided by our core values and are proud of our diverse culture as an equal opportunity employer. We understand that your career search may look different than others, and embrace the professional, personal, educational, and volunteer opportunities through which people gain experience.

Our Values


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

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.

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Tags: Architecture Azure Big Data BigQuery Cassandra Computer Science Databricks Dataflow Deep Learning Docker Engineering Flask Flink GCP Git GitHub Jenkins Jira Jupyter Kafka Keras Kubeflow Kubernetes Machine Learning Matplotlib Microservices ML models NLP NumPy Pandas Python PyTorch Reinforcement Learning Research Snowflake Spark SQL TensorFlow Testing

Perks/benefits: Career development Equity / stock options Flex vacation Health care Insurance Salary bonus

Region: North America
Country: United States

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