Position: Senior Data Scientist
Company: GlobalLogic
Category: Data Science
Experience required: 3y
English level: upper
Published: 2023-03-01T00:00:00+02:00

Job Description
Job Requirements

Proven track record of getting ML/DS solutions to customer-facing production environments
Experience with ML/DL frameworks: TensorFlow, Keras, ScikitLearn, ONNX
Solid knowledge of the State-of-the-Art DS/ML approaches and techniques
Experience working with Data Science process frameworks (CRISP-DM, Agile Data Science, Team Data Science Process)
Previous exposure to MLOps practices using Databricks, Amazon SageMaker, GCP or other Data Science Platforms
Proficiency with two or more frameworks from list: MATLAB, C, C++
Proficiency with Python and SQL  
Experience of working in distributed teams, tasks delegation and conducting technical reviews
 

Will be an asset:

Software developer background with solid exposure to programmer best practices
Experience of delivering ML-based solutions to the highly constrained environments (IoT)
Experience of working with biosensor data, knowledge of sleep science, sleep research
PhD, MSc or equivalent in Statistics, Mathematics, Computer Science, or other relevant disciplines
Experience of working in distributed teams
Experience of working with and managing Lakehouse
Proficiency with Spark or Scala
Job Responsibilities
Work within multidisciplinary team and Technical Product Owner on a day-to-day basis to develop new and improving existing ML/DS/DSP algorithms as Applied Data Scientist.
Support transition from ML/DS prototypes produced by Research Team to an end-to-end production-ready solutions. Ensuring subordinates focus on accomplishing business goal of releasing new features.
Manage data, code, and documentation related to the development stage.
Department/Project Description
Client - the worldwide manufacturer of smart beds, which increase the overall quality of sleep. The solution senses and automatically adjusts the comfort level:

Tracking personal sleep data during the night

Individual comfort and temperature balancing

Comfort adjustability on each side of the bed