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:
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.
