Senior Data Scientist IRC163032
|Location:||Ukraine - Kyiv|
|Designation:||Senior Software Engineer|
|Skills:||Matlab, Python, R, SQL|
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
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 the 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 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
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.
What We Offer
Exciting Projects: Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to participate in creating market-defining products using the latest technologies.
Collaborative Environment: Expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible opportunities and options.
Professional Development: Our dedicated Learning & Development team regularly organizes certification and technical / soft skill training to help you realize your professional goals.
Excellent Benefits: We provide our consultants with competitive compensation and benefits
Fun Perks: We want you to love where you work, which is why we host sports classes, cultural, social and team building activities such as sports competitions and end-of-year corporate parties. Our vibrant offices also include dedicated GL Zones and rooftop decks where you can drink coffee or tea with your colleagues over a game of table football or darts!
About GlobalLogicGlobalLogic is a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise—we help our clients imagine what’s possible, and accelerate their transition into tomorrow’s digital businesses. Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers around the world, extending our deep expertise to customers in the automotive, communications, financial services, healthcare and life sciences, manufacturing, media and entertainment, semiconductor, and technology industries. GlobalLogic is a Hitachi Group Company operating under Hitachi, Ltd. (TSE: 6501) which contributes to a sustainable society with a higher quality of life by driving innovation through data and technology as the Social Innovation Business.