Blue Yonder is hiring for an entry level Data Scientist I role in US

Position:

• Data Scientist I

Company:

• Blue Yonder

Location:

• Dallas, TX

• Hybrid (Minimum 2 days per week in the office, remaining days remote)

Job Type:

• Full-time

Job Mode:

• Hybrid

Job Requisition ID:

• 250484

Years of Experience:

• Min 1 year of relevant experience (internship or co-op exp also works)

Company Description

• Blue Yonder is a leading global provider of AI-driven supply chain solutions, offering advanced software for optimizing logistics and retail operations.

• Recognized by Glassdoor as one of the "Best Places to Work," Blue Yonder prioritizes innovation and efficiency in supply chain management.

• The company specializes in scalable, intelligent solutions that address complex business challenges in forecasting, inventory management, and operational efficiency.

• Blue Yonder fosters an inclusive, diverse, and collaborative work culture, encouraging employees to bring their authentic selves to work.

Profile Overview

• The Data Scientist I role is designed for individuals with a strong technical background in machine learning and data science.

• The position involves working within an engineering team to develop and deploy AI-driven models that enhance Blue Yonder’s retail and supply chain solutions.

• Responsibilities include processing large-scale datasets, applying deep learning techniques, and ensuring real-time model performance.

• The role requires collaboration with cross-functional teams, including product, sales, and engineering, to align data science initiatives with business objectives.

• This position offers the opportunity to tackle complex problems and contribute to the continuous enhancement of AI-powered supply chain solutions.

Qualifications

• Educational Background:

  • Bachelor’s degree in Computer Science, Statistics, Data Analytics, Engineering, or a related field.

• Technical Skills:

  • Strong understanding of machine learning principles and deep learning techniques.

  • Proficiency in Python (minimum 1-2 years of experience).

  • Experience with data science libraries such as Pandas, NumPy, Keras, TensorFlow, and Matplotlib.

  • Hands-on experience with SQL and database query languages.

  • Familiarity with big data technologies like Snowflake, Apache Beam, Spark, and Databricks.

  • Exposure to cloud platforms such as Google Cloud Platform (GCP) and Azure.

  • Knowledge of DevOps tools like Git, Jenkins, Docker, and Jira.

  • Understanding of advanced AI topics, including NLP, reinforcement learning, and optimization techniques.

• Preferred Experience:

  • Experience mentoring junior data scientists.

  • Knowledge of streaming technologies such as Kafka and distributed databases like Redis and Cassandra.

What You Will Do

• Machine Learning Development:

  • Work independently or with junior data scientists to implement ML models.

  • Collect and process data from multiple sources, including platform, client, and public datasets.

  • Perform data enrichment, cleansing, and feature engineering.

  • Train, evaluate, and deploy machine learning models.

• Operational Deployment:

  • Deploy and monitor machine learning models for real-time applications.

  • Implement runtime monitoring to track model inputs and outputs.

  • Collaborate with engineering teams to maintain model performance and stability.

• Cross-functional Collaboration:

  • Partner with product, sales, and engineering teams to build data-driven solutions.

  • Participate in client meetings to discuss product functionality and improvements.

  • Support the development of sales materials and hardware estimation for AI solutions.

• Technical Environment:

  • Utilize Python 3.0, TensorFlow, PyTorch, Apache Spark, and Kubernetes.

  • Work within a scalable and event-driven microservices architecture.

  • Operate in cloud environments such as GCP and Azure.

Additional Information

• Salary Range:

  • $85,788 - $108,212 (based on experience and location).

  • Compensation may include performance bonuses or commission programs.

• Benefits Package:

  • Comprehensive medical, dental, and vision insurance.

  • 401(k) retirement plan with company matching.

  • Flexible time-off policies.

  • Corporate fitness programs.

  • Additional voluntary benefits such as legal plans, pet insurance, and accident indemnity.

• Diversity & Inclusion:

  • Blue Yonder is committed to creating an inclusive workplace that values diverse perspectives and backgrounds.

  • The company is an equal opportunity employer, ensuring fair treatment without discrimination based on race, gender, religion, or disability.

• Core Values:

  • Blue Yonder emphasizes innovation, collaboration, and customer-centric solutions.

  • Employees are encouraged to engage in continuous learning and professional development.

Blue Yonder is at the forefront of digital transformation in supply chain management, providing employees with a dynamic environment to contribute to cutting-edge AI-powered solutions.

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