Data Scientist
565 Great Northern Way, Vancouver, Canada
Samsung Electronics
Entdecken Sie die innovative Welt von SAMSUNG Deutschland! Infomieren Sie sich hier über unsere Produkte und finden Sie Hilfe in unserem Support Bereich.Position Summary
Inspire the World, Create the FutureSamsung Research Vancouver team handles a large volume of data generated by Samsung’s Cloud Services and mobile devices. The team is responsible for turning this data into actionable insights that allow our stakeholders to make data-driven decisions which create value to our business, customers and partners.
Why We Want You
The Big Data team in Vancouver is looking for a Data Scientist who is passionate on big data technology and delivering data insight to help the business meet 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.
If you want to work for one of the most recognized brands in the world and one of the Top 100 Employers in Canada, then please keep reading!
What We Offer:
• Hybrid Work
• Competitive Salary
• RRSP Matching
• Employer Paid Flexible Health Coverage (from day one)
• Employee Purchase Program – discounts!
• Professional Development Opportunities
• Free onsite gym, showers and bike storage room
• Employee Referral Program – we want great talent like you!
Role and Responsibilities
Analyze data in order to understand usage and performance of the Samsung Knox Cloud services and operations
Help us innovate and develop new Gen AI technologies by collaborating with the cloud solution teams to improve customers satisfaction
Develop mathematical models for data products to drive growth, develop data pipeline and data sources for the related data driven operations
Work on complex issues such as analyzing customer situations or business data using 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 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 industry 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.
The salary range for this role is expected to be between $98,000 to $152,000 and reflects base salary only. Actual pay will be determined based on a number of factors and may vary depending on job-related knowledge, competencies, qualifications, relevant skills and experience.
The total rewards package for a Regular Full-Time employee may include variable incentive, savings matching (RRSP/TFSA/NRSP), extended health and dental benefits with spending accounts, wellness and well-being benefits, development opportunities, and other employee perks.
Samsung is an equal employment opportunity employer. We thank you for your interest in working for Samsung; only candidates selected for an interview will be contacted.
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Tags: Airflow Athena AWS Azure Big Data Computer Science Data analysis Deep Learning DevOps EC2 Engineering Firehose GCP Generative AI Keras Kinesis Kubernetes Lambda LLMs Machine Learning Mathematics Pandas Privacy Python Redshift Research Scikit-learn SQL Statistics Tableau TensorFlow Terraform
Perks/benefits: Career development Competitive pay Fitness / gym Flex hours Health care Salary bonus
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