Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
As a Data Scientist, you serve as a specialist in the engineering team that supports the team with the following responsibilities.
- Works closely with product and engineering teams to shape up the final solution
- Independently, or alongside junior scientists, implement machine learning models by Procuring data from platform, client and public data sources
- Prepare template notebook to demonstrate features of the solution
- Use data to understand patterns, come up with and test hypothesis; iterate
- Implementing data enrichment and cleansing routines
- Implementing features, preparing modeling data sets, feature selection, etc.
- Implementing advanced statistics and analytics including segmentation, modeling, regression, forecasting etc.
- Evaluating candidate models, selecting and reporting on test performance of final one
- Apply Natural Language Processing to understand text from forum reviews, description and interactions between users
- Ensuring proper runtime deployment of models, and
- Implementing runtime monitoring of model inputs and performance to ensure continued model stability
- Help prepare sales materials, estimate hardware requirements, etc.
- Attend client meetings, online and onsite, to discuss new and current functionality
Software: Python 3*, NumPy, SciPy, scikit-learn, SparkML, pandas, Jupyter Notebook, Matplotlib, Azure ML
Application Architecture: Scalable, Resilient, Reactive, event driven, secure multi-tenant Microservices architecture
Cloud: MS Azure
Frameworks/Others: Snowflake, Kubernetes, Dataflow, Kubeflow, Keras, TensorFlow, PyTorch, FastAPI
What We Are Looking For
- Bachelor’s degree in computer science or related fields; graduate degree preferred
- 5+ years of data science experience, retail setting preferred
- 3+ years of Python programming experience
- Strong grasp of data structures and algorithms
- Solid understanding of data science and machine learning foundations
- Familiarity with deep learning, NLP, reinforcement learning, combinatorial optimization etc.
- Experience working with most of the following frameworks and libraries: Pandas, Numpy, sklearn, Keras, Tensorflow, Jupyter, Matplotlib etc.
- Solid experience working on major cloud platforms, preferably Azure.
- Reasonable knowledge of modern software development tools, and respective best practices, such as Git, Jenkins, Docker, Jira, etc.
- Provable experience guiding junior data scientists in official or unofficial setting.
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.
Key Skills
Ranked by relevanceReady to apply?
Join Blue Yonder and take your career to the next level!
Application takes less than 5 minutes

