As a Data Scientist, you will leverage LLMs and Generative AI to enhance threat protection, utilize data visualization, and lead data science projects.
Role Overview:As a Data Scientist within the Office of the CTO within the Dynamic Threat Defense group at McAfee, you will play a vital role in providing our customers with cutting edge protection and peace of mind.
You will use your LLM (Large Language Model) and Generative AI expertise to identify new opportunities for application across the personal security space, in addition to improving McAfee’s threat protection capabilities. Leverage your data visualization and storytelling skills to present your research to audience members ranging from fellow data scientists to senior executives.
This is a position located in Canada, preferable either Waterloo or Toronto. You may be required to be onsite on an as-needed basis. We are only considering candidates within a commutable distance to one of the two locations and are not offering relocation assistance at this time.
Company Overview
You will use your LLM (Large Language Model) and Generative AI expertise to identify new opportunities for application across the personal security space, in addition to improving McAfee’s threat protection capabilities. Leverage your data visualization and storytelling skills to present your research to audience members ranging from fellow data scientists to senior executives.
This is a position located in Canada, preferable either Waterloo or Toronto. You may be required to be onsite on an as-needed basis. We are only considering candidates within a commutable distance to one of the two locations and are not offering relocation assistance at this time.
About the Role:
- Apply subject matter expertise in traditional ML, LLM and Generative AI in the development of machine learning driven solutions to protect the digital lives of our customers.
- Apply statistical and machine learning knowledge aimed at identifying opportunities to improve upon existing protection capabilities using supervised and unsupervised modeling techniques.
- Apply data wrangling skills toward cleaning data and building data pipelines from which to implement model monitoring dashboards and machine learning models.
- Apply data mining and exploration skills on raw and cleaned data in a variety of formats to uncover insights for data driven decision making
- Work with stakeholders across the organization to identify opportunities utilizing big data from many different sources.
- Use data visualization techniques and storytelling skills to convey research results in a meaningful manner with recommendations backed by data.
- Own data science projects of varying scope from concept to delivery while focusing on delivering a solution to address the original problem statement to achieve success.
About You:
- You have worked with and understand LLMs (Large Language Models) and Generative AI.
- You have 5-7 years of experience building high quality machine learning models.
- Experience in fine-tuning LLMs and classification is key requirement.
- You possess a Master’s or PhD in Statistics, Data Science, Computer Science or other quantitative field.
- You have extensive experience with Python, PySpark, R, SQL and cloud platforms such as AWS, GCP and Databricks.
- You are self-motivated and comfortable working remotely in collaboration with an international team.
- You have strong problem-solving skills that can be applied toward data wrangling, exploratory data analysis, data visualization, model development, model measurement, model deployment and model monitoring.
#LI-Remote
Company Overview
McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.
Company Benefits and Perks:We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
- Bonus Program
- Pension and Retirement Plans
- Medical, Dental and Vision Coverage
- Paid Time Off
- Paid Parental Leave
- Support for Community Involvement
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
Top Skills
AWS
Databricks
GCP
Pyspark
Python
R
SQL
Similar Jobs
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
The Packaging Engineer will organize and execute packaging design and development projects, manage supplier relations, and create technical reports while collaborating with cross-functional teams.
Top Skills:
Chemical EngineeringMechanical EngineeringPackaging Science
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
This role focuses on implementing operational excellence through Continuous Improvement (CI) processes, facilitating training, and managing digital initiatives to enhance manufacturing performance.
Top Skills:
Continuous Improvement ToolsDigital FactoryLean Six SigmaMarcoShoplogixTpm
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead and coordinate packaging design and deployment projects, ensuring specifications meet requirements while managing stakeholder communication and resources effectively.
Top Skills:
Chemical EngineeringMechanical EngineeringPackaging Science
What you need to know about the Vancouver Tech Scene
Raincouver, Vancity, The Big Smoke — Vancouver is known by many names, and in recent years, it has gained a reputation as a growing hub for both tech and sustainability. Renowned for its natural beauty, the city has become a magnet for professionals eager to create environmental solutions, and with an emphasis on clean technology, renewable energy and environmental innovation, it's attracted companies across various industries, all working toward a shared goal: advancing clean technology.
