Lead Software Engineer

Lead Data Scientist - Python & ML

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.

Experience Level

Senior Level