McAfee – Data Analyst – Hybrid – Ontario

Company: McAfee

Location: Ontario

Expected salary:

Job date: Thu, 28 Nov 2024 02:41:35 GMT

Job description: Role Overview:McAfee’s Data Science & Analytics team is growing with a laser focus on building data tools, supporting experimentation, developing predictive models and extracting data-driven insights to better support our 400 million customers worldwide and accelerate business growth. Within an organization focused on experimentation, data automation, and transformative business insights this is an opportunity to make significant contributions and grow skills in multiple areas.This is a hybrid position located in either Waterloo or Toronto, Canada. We will only consider candidates currently in Canada and do not offer relocation. Travel may be required periodically for key meetings.About the RoleAs a technical Data Analyst, using your analytical and programming background together with your problem-solving skills, you will help extract the secrets of our data, translating data findings into business insights. Working on the Strategic Data Analysis team you will support highly visible and challenging projects cutting across the business by discovering and transforming data and performing ad-hoc analyses that provide insights and drive decisions. You are curious about data, passionate about telling stories based on data, and interested in learning deeply about our business.Analyze large and complex data sets to solve a variety of business challenges using advanced statistical and analytical techniques.Leverage quantitative analysis, experimentation, data mining, and data visualization to drive business and marketing strategies.Monitor key metrics (business measurement, testing, campaign, RCA), set goals, forecast outcomes, and assess the effectiveness of marketing efforts to identify trends and opportunities.Develop and test strategies to optimize marketing performance, providing insights and recommendations to shape roadmaps.Collaborate with business stakeholders, engineering, and other cross-functional teams to dissect complex issues, communicate powerfully, and recommend actions.About You4+ years of experience in data analytics.3+ years of experience in programming with SQL, Python or R for exploring and transforming data within a relational database environment.2+ years of experience on data visualization tools such as Tableau, Power BI, R Shiny, D3.js, etc.2+ years of experience on Statistical Testing (Frequentist A/B testing, Bayesian A/B testing or Multivariate testing) and design of experiments.Experience in handling large datasets in big data environments using PySpark is a bonus.Experience working in Databricks within a cloud / Adobe Analytics / POSIT/ Github is a plus.Experience with MicroStrategy, Adobe Analytics or Google Analytics.Self-starter with solid interpersonal skills.Scrappy and relentless in overcoming barriers and delivering quality work.Ensure data quality and integration across multiple sources.Communicate complex data clearly, turning insights into action.Familiarity with building data pipelines and automating analytics processes.#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.

McAfee – Global Procurement Lead, Marketing Services – Remote Canada – Ontario

Company: McAfee

Location: Ontario

Expected salary:

Job date: Wed, 13 Nov 2024 06:09:53 GMT

Job description: through designing and delivering category, sourcing and supplier relationship management strategies. This is a remote… position based in Canada. We will only consider candidates currently in Canada and are not offering relocation assistance…

McAfee – ML Data Engineer (Feature Pipeline & ETL) – Ontario

Company: McAfee

Location: Ontario

Expected salary:

Job date: Thu, 21 Nov 2024 06:36:03 GMT

Job description: Role Overview:McAfee is seeking a skilled ML Data Engineer to join our Consumer ML team, specializing in creating robust feature engineering ETL pipelines tailored for machine learning applications. This role requires hands-on experience with Databricks, a solid understanding of the medallion architecture, and expertise in developing, deploying, and managing scalable data pipelines for low-latency model serving.The ideal candidate will also have experience supporting the end-to-end ML lifecycle, including model training and experiment tracking, with MLflow experience as a strong asset. As part of our AI and Machine Learning team, you will be instrumental in enabling advanced analytics and delivering personalized user experiences.This is a remote position based in Canada. We will only consider candidates in Canada and are not offering relocation assistance at this time.About the role:

  • Feature Engineering & Data Integration: Develop and maintain end-to-end ML feature engineering pipelines using Databricks, ensuring data is consistently structured to support ML models effectively.
  • Pipeline Development & Management: Integrate diverse data sources (clickstreams, user behaviour, demographic data, etc.) and tailor data integration processes to optimize data quality and performance.
  • Medallion Architecture Expertise: Build ETL/ELT pipelines that follow the bronze, silver, and gold layers of the medallion architecture, ensuring efficient data structuring for ML workflows.
  • Model Training & Experiment Tracking: Support ML model training and calibration through optimized data pipelines, using MLflow for experiment tracking, model versioning, and performance monitoring.
  • Query Optimization & Low Latency Pipelines: Design and implement optimized queries and low-latency data pipelines to support real-time and batch model inference in production.
  • CI/CD & Deployment: Apply CI/CD best practices to ensure smooth and efficient pipeline deployments, with automated testing for consistent performance.
  • Data Governance & Compliance: Ensure pipelines meet security and compliance standards, particularly for PII, and manage metadata and master data across the data catalogue.
  • Collaboration: Work closely with data scientists, data stewards, and other teams to align data ingestion and transformation efforts with business requirements.

About you:

  • Experience: Minimum 4 years in data engineering, focusing on ML feature engineering, ETL pipeline development, and data preparation for machine learning.
  • Databricks & Medallion Architecture: Proven expertise in managing ETL/ELT pipelines on Databricks, with a solid understanding of the medallion architecture.
  • ML Lifecycle & MLflow: Familiarity with the ML lifecycle and experience using MLflow for model training, calibration, and experiment tracking is highly desirable.
  • Spark & Big Data Technologies: Advanced skills in Apache Spark for big data processing and analytics.
  • Programming & Querying: Strong skills in Python for data manipulation, SQL for query optimization, and performance tuning.
  • Low Latency Data Pipelines: Experience in building and optimizing pipelines for low-latency model inference and serving in production environments.
  • CI/CD & System Integration: Familiarity with continuous integration and deployment practices for ETL/ELT pipeline development.
  • Data Pipeline Management: Expertise in managing data pipelines, ensuring adherence to security, compliance, and best practices.
  • Metadata & Master Data Management: Competency in managing metadata and master data within a technical data catalogue
  • You are a detail-oriented ML Data Engineer passionate about building scalable, efficient data pipelines tailored for machine learning.
  • You thrive in a collaborative environment, working effectively with cross-functional teams to drive data-driven insights and personalized solutions.
  • You are proactive in troubleshooting, monitoring, and optimizing data pipelines to support high-performance ML models in production.

#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.

McAfee – Data Scientist (Data Engineering & Analysis) – Ontario

Company: McAfee

Location: Ontario

Expected salary:

Job date: Wed, 20 Nov 2024 23:20:00 GMT

Job description: Role Overview:As a Data Scientist at McAfee, you will work closely with our data engineering and analytics teams to profile, transform, interpret data, and build a 360° view of our customers. Your primary focus will be to dive deep into datasets, understand how they relate to business goals, and shape data to drive insights and business metrics. You will use languages like SQL, Python to extract, manipulate, and analyze data, and contribute to developing robust customer 360 attributes.In this role, you would focus on hands-on data profiling, transformations, and analysis. We are looking for a strong sense of curiosity, problem-solving ability, and a knack for working through data challenges.Location: This is a Hybrid position in Canada. Candidates who live within commutable distance of Waterloo or Toronto are preferred. You will be required to be onsite from time to time as determined by the needs of the business.About the role:Work with large and diverse datasets to profile, clean, and transform data for analysis.Build and refine data pipelines, ensuring data is structured and ready for analytical use.Use SQL and Python for querying, transforming, and analyzing data from various sources.Perform data profiling to understand data characteristics and uncover patterns and anomalies.Collaborate with stakeholders to understand business metrics and ensure data aligns with key business objectives.Support the development of customer 360° views by integrating data from various sources and creating relevant attributes.Continuously explore and ask questions about the data to uncover new insights and drive better decision-making.Maintain clear documentation of data transformation processes and methodologies.About You:Proficiency in SQL for complex data queries and data transformations.Strong experience with Python for data manipulation, analysis, and pipeline development.Hands-on experience working with large datasets, data profiling, and transforming raw data into structured formats.Familiarity with Databricks or other big data platforms is a plus.Excellent problem-solving skills with a curiosity-driven approach to exploring data.Ability to think critically and connect data insights to business metrics.Comfortable working with ambiguity and incomplete data, and can proactively seek solutions.Knowledge of data science concepts (e.g., basic statistics, predictive modeling, recommendation systems).Familiarity with cloud-based data infrastructure (e.g., AWS, Azure) is a plus.Understanding of Ad Tech, Martech and customer analytics, especially in a Customer360 context is a plus.#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.

McAfee – Senior Machine Learning Scientist (Pricing & Recommendations) – Remote – Ontario

Company: McAfee

Location: Ontario

Expected salary:

Job date: Fri, 25 Oct 2024 23:16:53 GMT

Job description: Role Overview:Be the Architect of Personalized Experiences at McAfee as our Senior Machine Learning Scientist for Pricing & Recommendations.Are you passionate about harnessing the power of data to drive impactful business decisions?McAfee is seeking a Senior ML Scientist to play a pivotal role in shaping the future of our consumer journey through cutting-edge Machine Learning solutions for pricing and recommendations. Join us and make a tangible difference in the lives of our customers by developing innovative solutions that deliver personalized experiences and optimize value.This is a Hybrid position in Canada. Candidates who live within commutable distance of Vancouver, Waterloo, or Toronto are preferred.You will be required to be onsite from time to time as determined by the needs of the business (Avg. 4 to 12 days a month). We are only considering candidates located in Canada and are not providing relocation at this time.About The Role:

  • Ability to attend meetings and discussions during overlapping Pacific Standard Time (PST) hours (must-have).
  • Conceptualize, design, and implement state-of-the-art ML models for dynamic pricing strategies and personalized product recommendations.
  • Develop, implement, and deploy machine learning models that leverage our unique combination of user behavior and subscription data to improve consumer value from our products.
  • Engineer and maintain large-scale consumer behavioral feature stores while ensuring scalability and performance.
  • Develop and maintain data pipelines and infrastructure to support efficient and scalable ML model development and deployment.
  • Collaborate with cross-functional teams (Marketing, Product, Sales) to ensure your solutions align with strategic objectives and deliver real-world impact.
  • Create algorithms for optimizing consumer journeys and increasing conversion and monetization.
  • Design, analyze, and troubleshoot controlled experiments (Causal A/B tests, Multivariate tests) to validate your solutions and measure their effectiveness.

About You:

  • 7 to 9 years of experience in one or more of the following areas: machine learning (including deep learning), recommendation systems, pattern recognition, data mining or artificial intelligence.
  • Experience with Classical and Traditional ML including Classification, Clustering, and Regression using XGBoost, Random Forest, SVM, DB Scan, Gaussian Mixture Models, KMeans, and KNN .
  • Experience with intermediate SQL – Window Functions, Group by, Joins, Partition.
  • Experience in handling Tabular data processing, including sparsity, cardinality analysis, standardization, encoding, etc.
  • Proficient in Python, SQL, intermediate data engineering skill set with tools, libraries, or frameworks such as MapReduce, Hadoop, Hive and Big Data technologies, scikit-learn, Keras, TensorFlow, PyTorch etc.
  • Experience with various ML techniques and frameworks, e.g., data discretization, normalization, sampling, linear regression, decision trees, deep neural networks, etc.
  • Experience in building industry-standard recommender systems and pricing models.
  • Expertise in MLOps, ML Engineering and Solution Design.

#LI-HybridCompany 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.

McAfee – Senior Data Scientist – Remote – Ontario

Company: McAfee

Location: Ontario

Expected salary:

Job date: Wed, 02 Oct 2024 05:27:22 GMT

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.