Position Summary
Inspire the World, Create the Future
Samsung 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 :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.
LI-DJ1
indhigh
Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country / Language at the bottom of the page.
If you are European Economic Resident, please click here.
Sr. Language Data Scientist, Alexa Customer Journeys
You will collaborate with fellow language data scientists, program managers, as well as stakeholders in science, engineering, and product teams to understand the role data plays in developing data sets and exemplars that meet customer needs. You will work collaboratively with other language data sci...
Data Scientist
Skilled in SQL for querying databases and handling large datasets. Engage with clients and stakeholders to enhance their understanding of data analytics and address key issues. Disseminate results to foster data-driven decision-making within the organization. Masters or PhD in Geosciences, Mathemati...
Senior Data Scientist
As a Data Scientist, you would take a hands-on role in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. Database and programming languages experienc...
Sr. Data Scientist
Knowledge of database technologies (SQL, MongoDB, Databricks) and data pipeline tools. Data scientist at Conexiom, you'll be at the center of problem-solving. With Conexiom's ongoing significant growth, we are propelling our data science endeavors further. This position is responsible for developing...
Data Scientist Ml/Dl/NLP/Llm, ICC AI Center of Excellence
As a Data Scientist, you map business problems to high-impact solutions leveraging off data and insights. You may take part in educating our org the best practices of data science and data management. Experience in a ML or data scientist role with a large technology company. Our AI Center of Excelle...
Business Intelligence BI Data Scientist Developer
Panavision is seeking a highly skilled and motivated Business Intelligence (BI) Data Scientist/Developer to join our team immediately. In this role you will be responsible for building and maintaining an online web application that serves as the interface to a structured data warehouse supporting Pa...
Scientifique des Données Sénior.e / Senior Data Scientist
We're looking for a thoughtful and disciplined Data Scientist with deep statistical modeling experience, strong data engineering experience and a passion for games and digital technologies. You will report to a senior data science manager within EA's central Data and Analytics (DnA) organization. Ef...
Data Scientist/ML Engineer
You have at least 3 years experience, ideally within a Data Analyst or Data Engineer role. Demonstrated experience working with large and complex data sets as well as experience analyzing volumes of data. Developing scripts to process structured and unstructured data. Recommending, developing and im...
data scientist
Research and document data requirements, data collection and administration policy, and data access rules. Develop and implement data administration policy, standards and models. ...
Data Scientist
The New Bets Data Science team exists to provide data-driven insights and strategic guidance around Instacart’s most promising emerging initiatives, collectively known as "new bets”. This role requires strong product-facing data science experience, strategic thinking, and adeptness at collaborating ...