Senior Data Scientist – Remote

Job title:

Senior Data Scientist – Remote

Company

McAfee

Job description

Role Overview:Passionate about Large Language Models, Natural Language Processing, Image Generation and Classification, and more?Have you ever trained or fine-tuned an LLM or Diffusion model to see what you can make it do? Do you grok the differences between training an LLM or Diffusion model from scratch and fine-tuning? Do you like to explore the “What Ifs”?Why be a little fish in a big pond when you can join McAfee’s Advanced AI team and make an immediate global impact on McAfee’s millions of customers worldwide?We’re seeking innovative AI Data Science Engineers who aren’t afraid to get their hands dirty in the code and explore unique ways to leverage the emerging field of Generative AI to solve security and privacy problems.This is a remote position based in Canada. We will only consider candidates currently in Canada and are not offering relocation assistance at this time.About the role:

• Apply subject matter expertise in LLMs (Large Language Models) 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 10+ years of experience as a data scientist manipulating large datasets, building data pipelines and machine learning models. Work experience in the cybersecurity industry is a plus.
• Have recently published articles in leading journals on Artificial Intelligence
• 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 to data wrangling, exploratory data analysis, data visualization, model development, model measurement, model deployment, and model monitoring.
• We prefer that you possess a Master’s or PhD in Statistics, Data Science, Computer Science or other quantitative field.

#LI-RemoteCompany OverviewMcAfee 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.

Expected salary

Location

Ontario

Job date

Wed, 02 Oct 2024 04:15:26 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (hiring-jobs.com) you saw this job posting.