Blue Yonder
Sr. Data Scientist
Blue Yonder, Dallas, Texas, United States, 75215
Position Title: Sr. Data ScientistLocation: Hybrid in Dallas, TX
Overview:
We are the leading AI-driven Global Supply Chain (SCM) Solutions SaaS Product Development Company and one of Glassdoor’s “Best Places To Work”.
As a Senior Data Scientist at Blue Yonder, you'll be a driving force behind the transformation of retail planning with our innovative Retail Planning Product. Leveraging advanced data science, AI, and scalable architecture, you'll shape the future of inventory management, fulfillment, and customer experience. Your role involves developing predictive models, collaborating cross-functionally, and translating insights into actionable solutions for demand forecasting, supply chain optimization, and personalized shopping.
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 will you 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:
Required Bachelor’s degree and 3-5 years of professional experience producing ML models for business applications.
2+ years of professional experience in building and deploying Deep Learning Models, NLP, reinforcement learning, combinatorial optimization, etc.
Relevant Python programming and experience working with most of the following frameworks and libraries: TensorFlow, Keras, Pandas, NumPy, scikit-learn, Jupyter, Matplotlib, etc.
Strong grasp of data structures and algorithms.
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 settings.
Bonus points!
Prefer Masters or PhD in any of these fields: Computer Science, Data Science, Analytics, Mathematics or Statistics.
Data Science work in Retail industry settings.
Experience with Big Data platforms such as Hadoop and Spark.
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.
Salary Range:
USD $95,607.00 – $120,501.00
The salary range information provided reflects the anticipated base salary range for this position based on current national data and applicable jurisdiction regulations. 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
Wellbeing Days
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.
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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Overview:
We are the leading AI-driven Global Supply Chain (SCM) Solutions SaaS Product Development Company and one of Glassdoor’s “Best Places To Work”.
As a Senior Data Scientist at Blue Yonder, you'll be a driving force behind the transformation of retail planning with our innovative Retail Planning Product. Leveraging advanced data science, AI, and scalable architecture, you'll shape the future of inventory management, fulfillment, and customer experience. Your role involves developing predictive models, collaborating cross-functionally, and translating insights into actionable solutions for demand forecasting, supply chain optimization, and personalized shopping.
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 will you 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:
Required Bachelor’s degree and 3-5 years of professional experience producing ML models for business applications.
2+ years of professional experience in building and deploying Deep Learning Models, NLP, reinforcement learning, combinatorial optimization, etc.
Relevant Python programming and experience working with most of the following frameworks and libraries: TensorFlow, Keras, Pandas, NumPy, scikit-learn, Jupyter, Matplotlib, etc.
Strong grasp of data structures and algorithms.
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 settings.
Bonus points!
Prefer Masters or PhD in any of these fields: Computer Science, Data Science, Analytics, Mathematics or Statistics.
Data Science work in Retail industry settings.
Experience with Big Data platforms such as Hadoop and Spark.
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.
Salary Range:
USD $95,607.00 – $120,501.00
The salary range information provided reflects the anticipated base salary range for this position based on current national data and applicable jurisdiction regulations. 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
Wellbeing Days
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.
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.
#J-18808-Ljbffr