Scope
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
Our Current Technical Environment
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.
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.
IN
