Scope
As a Data Scientist, you serve as a specialist in the engineering team that supports the team with following responsibilities.
- Independently, or alongside junior scientists, implement machine learning models by Procuring data from platform, client and public data sources
- Implementing data enrichment and cleansing routines
- Implementing features, preparing modeling data sets, feature selection, etc.
- Evaluating candidate models, selecting and reporting on test performance of final one
- Ensuring proper runtime deployment of models, and
- Implementing runtime monitoring of model inputs and performance in order to ensure continued model stability
- Work with product, sales and engineering teams helping shape up the final solution
- Use data to understand patterns, come up with and test hypothesis; iterate
- 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.
- Application Architecture: Scalable, Resilient, Reactive, event driven, secure multi-tenant Microservices architecture
- Cloud: Google Cloud
- Frameworks/Others: Kubernetes, Kafka, Pub/Sub, Big Query, Apache Beam, DataFlow, KubeFlow, Keras, TensorFlow, Flask.
What we are looking for
- Bachelor s Degree in Computer Science or related fields; graduate degree preferred
- 3+ years of data science experience, retail setting preferred
- 3+ years of Python programming experience
- Strong grasp of data structures and algorithms
- Expertise with Big Data tech such as Hadoop and Spark, streaming and batch
- Desired knowledge of Kafka, Samza, Beam, Cassandra, Redis, etc.
- 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 with any of the major cloud platforms, preferably GCP.
- 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.