Data Scientist-I

Role :  Data Scientist -I

Location:  Dallas, TX -Locals only, NO REMOTE

As an active member of the Data Science Team within R&D, Data Scientist / Data Engineer contributes to Blue Yonder’s current and upcoming SaaS solutions and services offering

through the improvement, research, design, operations, and development of innovative optimization and machine learning algorithms

What to expect 

• Work in an horizontal team with our machine learning experts, engineers and project managers to advance our data science products 
• Design and develop data-intensive distributed systems in Python with focus on data engineering 
• We are working with exciting new technologies like Azure Cloud Services, Dask and Snowflake 
• Work in an agile team with emphasis on quality, testability and automation 

Your experience 

• Hands-on experience of Python and its ecosystem around daks/pandas and sqlalchemy 
• First university level experience with micro-services architectures in cloud environments running on kubernetes 
• Passion for building reliable software running in production 

What we offer 

• An opportunity to have positive real-world impact 
• We value a scientific approach to problem solving in a friendly and collaborative team where your input and opinion counts 
• Key skills and knowledge: Open source, statistical exercises, Sensor imagining, Applied AI, Machine learning, python, data wrangling, product development, source code development 
• We are working with exciting new technologies like Azure Cloud Services, Dask and Snowflake 
• Proactive support of your career development through mentoring, training and participation in conferences 
• An open-source compatible environment and the possibility to try out new approaches 

Qualifications:  

• Programming skills – 1 to 3 years (In-depth knowledge of Python, Pandas and its open-source ecosystem or similar) 
• PhD, Master's, or Bachelor’s degree in Engineering / Computer Science / Mathematics / Statistics / Physics required
• Experience as Data scientist/ Machine learning engineer (PhD experience counts) 
• Experience in Data Manipulation Queries/ data visualization /Big Data 
• Experience in Cloud technologies like Azure, Snowflake required
• Experience in Supply Chain Industry is big plus
• Ability to visually present data or analysis results to a non-technical audience 
• Good written and communication skills 

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The salary range for this position is USD $ 72,360.00 - $104,922.00.

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 

• 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. 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

Diversity, Inclusion, Value & Equality (DIVE) is our strategy for fostering an inclusive environment we can be proud of. Check out Blue Yonder's inaugural