Our client is looking for help in research for big data systems. The data team handles massive amounts of data generated by our client’s Cloud Services and mobile devices. The team is responsible for turning this data into actionable insights that allows our stakeholders to make data-driven decisions and create values to our business, customers and partners.
Our client is looking for a Data Scientist who is passionate on big data technology and delivering data insight to help the business meeting the distinct needs of different customer cohorts. The data scientist works closely with our data engineering, data analysis, backend and frontend engineering, product design, business strategy and marketing teams to make decisions on how we should invest in specific data-driven platforms and products.
Job Responsibilities
Analyze data in order to understand usage and performance of the Samsung cloud services and operations
Help us innovate and apply new Gen AI technologies by collaborating with the cloud solution teams to improve customers satisfaction
Developing mathematical models for data products to drive for future growth, developing data pipeline and data sources for the related data driven operations
Works on complex issues where analyzing customer situation or business data requires an in-depth evaluation of variables. Exercises judgement in selecting methods, techniques and evaluation criteria to obtain results.
Generate data reports and business insights using the latest ML/AI technology
Skills and Qualifications
Master’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional field
3+ years of working experience in data scientist/analyst role building and deploying ML/AI models or hands on experience developing deep learning and predictive models
Strong knowledge of SQL
Expertise in Python using e.G. SciKit-Learn, Pandas, Tensor flow, Keras, Deep Learning Framework etc.
Experience with Generative AI technology, LLM and RAG
Experience with various AWS services (e.G. EC2, S3, Athena, Lambda, Kinesis Firehose, Redshift)
Strong communication and team working skills
Bonus Skills
Experience with Mobile Device Management and/or experience with Business-to-Business (B2B) cloud solutions
AWS / GCP / Azure certification
Experience with Tableau data source and dashboard creation
ML engineering experience
Experience with Airflow, EKS, EMR, Redshift, Kubernetes
DevOps experiences: such as create build & install scripts, terraform, UNIX-based systems management, release management, production monitoring, etc.
