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Added 2 mins ago
C
Senior Traffic Engineer/Modeller
CIMA+
Toronto, ON · Burlington, Ontario
- $110,480 to $151,910 CAD / year
- Full-time
…projects over the past 30 years. Our talented engineers can lead any type of project, regardless of its complexity and scale. The team draws on a reservoir of diverse experience that…
Added 2 mins ago
C
Senior Traffic Engineer/Modeller
CIMA+
Ottawa, ON · Burlington, Ontario
- $97,360 to $133,870 CAD / year
- Full-time
…projects over the past 30 years. Our talented engineers can lead any type of project, regardless of its complexity and scale. The team draws on a reservoir of diverse experience that…
Added 2 mins ago
C
Intermediate Traffic Engineer/Modeller
CIMA+
Ottawa, ON · Burlington, Ontario
- $68,960 to $94,820 CAD / year
- Full-time
…projects over the past 30 years. Our talented engineers can lead any type of project, regardless of its complexity and scale. The team draws on a reservoir of diverse experience that…
Added 17 mins ago
O
Digital Infrastructure Engineer
OLG
Sault Ste. Marie, ON · Toronto, ON · Foster Drive Office
- Full-time
Identity, access management, and information system security principles
Added 17 mins ago
M
Lead Workforce Scientist
McKesson
Mississauga, ON
- Full-time
Lead Workforce Scientist (P5) | Focus Area: Employee Listening, Culture & Engagement
Added 17 mins ago
BG
Auto Body Estimator (Yellowhead Trail)
Boyd Group Services
Edmonton, AB
- Full-time
…in collision and glass services. As we continue to grow and lead the industry, we ensure you have the resources and the team behind you to move your career…
Added 32 mins ago
IC
Strategy, Lead
Interac Corp.
Toronto, ON · Interac Corp. Head Office
- Full-time
Founded in 1984, Interac connects Canadians through secure digital payments, advanced identity verification and industry-leading fraud protection. Connecting banks, businesses, and…
Added 32 mins ago
FF
Sr Manager, Soft Goods Product
Fox Factory
Burnaby, BC · CA BC, Burnaby
- Full-time
Not only do we provide competitive wages, you will also have access to great benefits and employee discounts. But more importantly, it’s a fun environment where we truly enjoy working as a…
Added 47 mins ago
TA
Project Manager
Top Aces
Dorval, QC
- Full-time
Project Management: Lead and manage continuous improvement projects from initiation to completion, ensuring adherence to project timelines, budgets, and objectives.
Added 1 hour ago
CC
Cybersecurity Architect (Governance, Risk and Compliance)
Centennial College
Toronto, ON · Greater Toronto Area, Canada
- $51.95 to $60.02 CAD / hour
- Full-time
Develop Cybersecurity Architectures aligned with corporate plans, in collaboration with the college’s Enterprise Architecture and Risk Management teams
Added 1 hour ago
TR
Legal Publisher
Thomson Reuters
Montreal, QC · Canada, Montreal, Quebec
- Full-time
Added 1 hour ago
C
Intermediate Traffic Engineer/Modeller
CIMA+
Burlington, ON
- $68,960 to $94,820 CAD / year
- Full-time
…projects over the past 30 years. Our talented engineers can lead any type of project, regardless of its complexity and scale. The team draws on a reservoir of diverse experience that…
Added 1 hour ago
C
Senior Traffic Engineer/Modeller
CIMA+
Toronto, ON
- $110,480 to $151,910 CAD / year
- Full-time
…projects over the past 30 years. Our talented engineers can lead any type of project, regardless of its complexity and scale. The team draws on a reservoir of diverse experience that…
Added 1 hour ago
C
Senior Traffic Engineer/Modeller
CIMA+
Burlington, ON
- $110,480 to $151,910 CAD / year
- Full-time
…projects over the past 30 years. Our talented engineers can lead any type of project, regardless of its complexity and scale. The team draws on a reservoir of diverse experience that…
Added 1 hour ago
C
Intermediate Traffic Engineer/Modeller
CIMA+
Toronto, ON
- $68,960 to $94,820 CAD / year
- Full-time
…projects over the past 30 years. Our talented engineers can lead any type of project, regardless of its complexity and scale. The team draws on a reservoir of diverse experience that…
Added 1 hour ago
H
Atlassian Guard - Senior - Technical Lead
HRConnects
Vancouver, BC
- Full-time
As Senior Technical Lead, you’ll oversee day-to-day Atlassian Guard operations and support for a technology environment. You’ll shape identity and access controls, data security policies,…
Added 1 hour ago
IC
Shift Lead
Insomnia Cookies
Toronto, ON
- Part-time
…coaching teammates and keeping the bakery running smoothly, you'll lead by example every…
Added 1 hour ago
O
Test Engineer
onsemi
Burlington, ON
- Full-time
Exercising strong leadership and communication skills in influencing peers and management in the development of an evolving role
Added 1 hour ago
C
Intermediate Traffic Engineer/Modeller
CIMA+
Ottawa, ON
- $68,960 to $94,820 CAD / year
- Full-time
…projects over the past 30 years. Our talented engineers can lead any type of project, regardless of its complexity and scale. The team draws on a reservoir of diverse experience that…
Added 1 hour ago
C
Senior Traffic Engineer/Modeller
CIMA+
Ottawa, ON
- $97,360 to $133,870 CAD / year
- Full-time
…projects over the past 30 years. Our talented engineers can lead any type of project, regardless of its complexity and scale. The team draws on a reservoir of diverse experience that…
Added 1 hour ago
A
Epic Certified Clinical & myChart Applications Analyst
Accenture
Mississauga, ON · Montreal, QC
- Full-time
…across 24 countries, ATCs will provide our clients seamless access to industry insights and innovative technology…
Added 1 hour ago
AC
Data Engineering Team Lead
Atlas Corp.
Vancouver, BC
- $120,000 to $130,000 CAD / year
Working knowledge of data governance, data quality, metadata management, lineage, security, and access control.
Added 1 hour ago
LB
Brand Marketing Future Opportunities
Labatt Breweries of Canada
Toronto, ON
- Full-time
Bring ideas to life. Lead initiatives from brief through execution across creative, media, digital, social, experiential and in-market activation.
Added 1 hour ago
Sr. Brand Manager - Future Opportunities
Labatt Breweries of Canada
Toronto, ON
…a Senior Brand Manager who can think like a business owner, lead with the consumer and turn bold ideas into sustainable…
Added 1 hour ago
UR
Inside Sales Rep
United Rentals
Moose Jaw, SK
- Full-time
Early Wage Access through Payactiv (US Hourly Only)

McKesson

Lead Workforce Scientist

Mississauga, ON, Canada

$122,100 - $162,800 · Full-time

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Job details

Pay: $122,100 - $162,800
Job type: Full-time
Experience: 8+ years of hands-on experience applying data science, advanced analytics, or quantitative research to employee, people, or customer experience questions.
Posting language: English
Posted: Nov 9, 2026

Original job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

Lead Workforce Scientist (P5) | Focus Area: Employee Listening, Culture & Engagement

Senior Individual Contributor | Workforce Intelligence Data Science, Research & Advisory

POSITION SUMMARY

We are seeking an applied workforce scientist who combines advanced quantitative methods, employee listening analytics expertise, and business judgment to reveal how employees experience the organization and what most influences engagement, culture, retention, and organizational health. The role is designed for complex workforce phenomena and strategic uncertainty, not only defined analytical needs. The Lead Workforce Scientist peers around corners, surfacing the risk, opportunity, or question that leaders did not yet know existed and making previously unseen workforce dynamics visible and actionable.

The Lead Workforce Scientist develops advanced models, methodologies, and analytical assets that connect employee voice with workforce, operational, and business outcomes. These capabilities are deliberately built to discover patterns beyond the questions the organization is already asking, expanding what Workforce Intelligence is capable of knowing. The role applies statistical modeling, survey science, natural language processing, and responsible AI to convert structured and unstructured listening signals into enterprise insight and practical recommendations. The ideal candidate is equally energized by the workforce question and the analytical challenge, and can translate complex evidence into clear guidance for senior leaders while protecting employee privacy and trust.

KEY RESPONSIBILITIES

Data Science & Modeling | Analytical Data Development & Reproducibility

Build and validate statistical and machine learning models, including but not limited to regression, classification, survival analysis, clustering, and key-driver analysis, to explain and predict engagement, retention, culture, and organizational health outcomes.

Design rigorous analyses, including quasi-experimental and causal inference approaches, to assess the impact of programs, leader actions, and listening interventions.

Apply survey science and psychometrics, including sampling, weighting, reliability, validity, and measurement invariance, to maintain the credibility of listening data.

Conduct open-ended discovery where the question is not fully defined: test hypotheses, explore anomalies and weak signals, identify previously unseen relationships, and communicate the confidence and limitations of findings.

Use Python or R and SQL to integrate, transform, and analyze survey, lifecycle, HRIS, operational, and business data at enterprise scale.

Develop fit-for-purpose analytical datasets and derived measures that connect employee sentiment and experience signals with workforce and business outcomes.

Work in cloud data platforms such as Databricks, using version control, documentation, and reproducible methods so analyses and models can be reviewed, reused, and maintained.

Partner with HR data platform and technology teams to define data requirements, quality expectations, and sustainable access to listening data.

AI, NLP & Innovation | Domain Leadership & Advisory

Develop and evaluate natural language processing approaches, including topic modeling, embeddings, sentiment classification, and LLM-assisted thematic analysis, to analyze open-ended feedback at scale.

Assess AI-enabled listening tools and vendor models for accuracy, bias, explainability, and fitness for intended use before they inform decisions.

Combine structured workforce data with unstructured experience signals while maintaining privacy, confidentiality thresholds, transparency, and appropriate governance.

Apply responsible AI principles so insights are explainable, ethical, and designed to support action rather than surveillance.

Serve as an enterprise subject-matter leader for employee listening, engagement, culture, and employee experience analytics, helping shape the research and modeling agenda.

Peer around corners by detecting signals, unexpected relationships, and emerging employee experience risks or opportunities before leaders know to ask about them; frame the next questions the organization should investigate.

Translate complex findings into executive-ready narratives, implications, and recommendations for HR leaders, COEs, HRBPs, and business leaders.

Operate with significant autonomy as a hands-on senior individual contributor, shaping decisions through expertise, influence, and trusted advisory relationships.

REQUIRED QUALIFICATIONS

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Industrial-Organizational Psychology with a quantitative focus, or a related field; master's degree or PhD preferred.

8+ years of hands-on experience applying data science, advanced analytics, or quantitative research to employee, people, or customer experience questions.

Advanced proficiency in Python or R and SQL, including common data science libraries, with demonstrated experience developing and validating models end to end.

Applied experience with natural language processing and text analytics on open-ended feedback, including topic modeling, embeddings, sentiment classification, or LLM-assisted analysis.

Experience working with relational databases and cloud data platforms such as Databricks, Snowflake, or Azure, including creating analysis-ready datasets from imperfect source data.

Ability to communicate technical findings to senior, non-technical leaders and translate evidence into practical business recommendations.

SCOPE & IMPACT

Leads enterprise-wide listening analytics and modeling initiatives with significant strategic impact.

Defines new analytical questions, methodologies, and enterprise points of view that reveal risks and opportunities beyond known business requests.

Influences VP, SVP, HRLT, COE, HRBP, and business leadership decisions through evidence and trusted advisory.

Creates reusable analytical methods and models that expand what Workforce Intelligence and HR are capable of discovering and knowing.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

$122,100 - $162,800

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.

McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!

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More about this job

Responsibilities

The Lead Workforce Scientist will develop advanced statistical models and analytical assets to uncover insights regarding employee engagement, culture, and organizational health. They will translate complex data findings into actionable recommendations for senior leadership to drive strategic workforce decisions.

Requirements

Candidates must possess a bachelor's degree in a quantitative field and at least 8 years of hands-on experience in data science or people analytics. Proficiency in Python or R, SQL, and natural language processing techniques is required to analyze structured and unstructured workforce data.

Skills

Data science
Statistical modeling
Machine learning
Python
R
SQL
Natural language processing
Survey science
Psychometrics
Causal inference
Data visualization
Predictive modeling
Cloud data platforms
Employee engagement analytics
Executive communication

Benefits

Annual bonus
Long-term incentive opportunities

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Workforce Intelligence
Employee Listening
Python
R
SQL
Databricks
Snowflake
Azure
Natural Language Processing
Machine Learning
Regression
Classification
Survival Analysis
Clustering
Causal Inference
Psychometrics
Responsible AI
Topic Modeling
Sentiment Classification
LLM
HRIS
Organizational Health
People Analytics
Data Reproducibility
Cloud Data Platforms
Executive Advisory
Strategic Workforce Planning
Employee Experience
Governance

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