Jobs in Woolwich, ON and nearby

Jobs within 25 km of Woolwich, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

9,499 listings · 1,752 employers Counted Nov 2, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (234 listings), Linamar Corporation (213 listings), Manulife (180 listings).

Common roles: Retail sales associate, Software engineer, Stock associate.

1,297 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	23.00	638
CAD / year	75,000.00	538
USD / hour	20.00	35
USD / year	90,000.00	17

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 18% hybrid, 81% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Woolwich, ON and nearby

Within 25 km

Email me new jobs Save this search

Added just now
M
Assistant Manager, Business Support – Canada Contact Centre, Bank & Affinity
Manulife
Waterloo, ON
- Full-time
Added just now
M
Director, IT Sourcing
Manulife
Waterloo, ON
- Full-time
Added just now
TT
Retail Customer Service and Operations Coordinator Full Time HomeSense-15Woodlawn, Guelph
The TJX Companies, Inc.
Guelph, ON
- Full-time
Added 15 mins ago
Terrace Aide - Nursing
County of Wellington
Fergus, ON
Added 15 mins ago
E
PSW Clinical Educator
Extendicare
Kitchener, ON
- Full-time
Added 15 mins ago
KT
Shipper/ Receiver
Kal Tire
Cambridge, ON
- Temporary
Added 15 mins ago
KT
Front Counter Sales Representative
Kal Tire
Cambridge, ON
- Temporary
Added 30 mins ago
CM
Registered Practical Nurse, Emergency Department FT 2026-7172
Cambridge Memorial Hospital
Cambridge, ON
- Other
Added 30 mins ago
CO
Senior Planner - Development
County of Wellington
Guelph, ON
- $109,090.8 to $127,600.2 CAD / year
- Full-time
Added 30 mins ago
W
overnight Associate
Walmart
Kitchener, ON
- Part-time
Added 45 mins ago
LC
HMR Clerk Part Time Day Greenlight Requisition
Loblaw Companies Limited
Waterloo, ON
- Part-time
Added 45 mins ago
S
Associate Optometrist
Specsavers
Kitchener, ON
- Contract
Added 45 mins ago
AC
Bookkeeper (Full time, 6 month contract)
Amplify Care
Kitchener, ON
- Full-time
Added 45 mins ago
AC
Change Management Clinical Lead (1 day a week, 1 year contract)
Amplify Care
Kitchener, ON
- Part-time
Added 45 mins ago
AC
AI Clinical Lead (1 day a week, 1 year contract)
Amplify Care
Kitchener, ON
- Part-time
Added 45 mins ago
IG
Night Shift Coordinator
Insight Global
Cambridge, ON
- $18 to $18.6 CAD / hour
- Contract
Added 1 hour ago
SL
Service Specialist
Sun Life
Waterloo, ON
- Full-time
Added 1 hour ago
CT
E-Commerce Representative (Bilingual)
Canadian Tire Corporation
Kitchener, ON
- Full-time
Added 1 hour ago
SS
Care Support Assistant | Casual
Sienna Senior Living
Elmira, ON
- Part-time
Added 1 hour ago
LC
Engineer - Manufacturing Technician, Senior
Linamar Corporation
Guelph, ON
- Full-time
Added 1 hour ago
Aquatic Facilities and Animal Care Technician
Wilfrid Laurier University
Waterloo, ON
Added 1 hour ago
Kanban Shipper/Receiver
Woodbridge
Kitchener, ON
Added 1 hour ago
M
Manufacturing Technician
MANTECH
Guelph, ON
- Full-time
Added 1 hour ago
JV
Brand Ambassador – Kitchener
Jam Van Inc.
Kitchener, ON
- Contract
Added 1 hour ago
CT
restaurant manager
Church's Texas Chicken
Waterloo, ON
- Full-time

STAR FIND AI Inc.

Data Scientist, Behavioral Science & AI Evaluation

Cambridge, ON, Canada
Greater Kitchener-Cambridge-Waterloo Metropolitan Area, Canada

Hybrid

$92,000 to $100,000 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $92,000 to $100,000 CAD / year
Job type: Full-time
Workplace: Hybrid
Apply by: Dec 1, 2026
Working hours: 37.5 hours per week
Posting language: English
Posted: Nov 1, 2026

Original job description

Company: STAR FIND AI INC.

Product: Sayglade™

Location: Kitchener/Waterloo, Ontario, Canada

Work arrangement: Hybrid

Employment: Full-time, 37.5 hours per week

Annual base salary: CAD $92,000–$100,000

Sayglade™ helps people understand everyday conversations and prepare what to say next. Through Decode My Chat and Rehearse My Talk, users can explore possible interpretations of a message, consider thoughtful replies, and practise conversations before having them.

We are hiring a Data Scientist to improve the quality and usefulness of these experiences through statistical modeling, natural language processing, and product experimentation.

You will work closely with product and engineering to turn communication challenges into measurable questions, develop practical analytical methods, and use evidence to guide product improvements. This is a hands-on role in an early-stage product serving people navigating friendships, relationships, university life, and the transition into work.

In this role, you will:

Prepare and analyze data: Use Python, R, and SQL to extract, clean, organize, and analyze structured product events, user feedback, and authorized conversation evaluation datasets. Develop reproducible workflows and check data quality.

Develop analytical models: Build, validate, and apply statistical and NLP models to categorize communication scenarios, identify response-quality failure patterns, and examine relationships between product experiences and user behavior.

Build AI evaluation methods: Develop evaluation datasets, automated scoring methods, and human-review guidelines for chat interpretation, suggested replies, and conversation practice. Assess whether responses distinguish evidence from assumptions, remain relevant to the user’s context, and provide useful next steps.

Compare models and product approaches: Design controlled evaluations of language models, prompts, and response strategies. Analyze performance across scenarios and document uncertainty, limitations, and trade-offs.

Measure product outcomes: Analyze activation, repeat usage, and retention. Design experiments and apply appropriate statistical methods to assess product changes, selecting methods suited to the available sample size and data quality.

Implement validated improvements: Collaborate with engineering to integrate useful analytical methods and evaluation checks into product development, and assess whether changes improve results.

Communicate findings: Produce clear visualizations, concise research reports, and prioritized recommendations that connect technical findings to product decisions.

All research and evaluation must respect user privacy and data-use permissions. Evaluation datasets may include synthetic, appropriately licensed, or explicitly consented material; private conversations are not automatically available for research or model training.

You should bring:

A master’s or doctoral degree in statistics, data science, quantitative psychology, psychometrics, educational measurement, or a related quantitative discipline.

Applied experience in statistical modeling or machine learning, including selecting methods, validating results, and explaining limitations.

Strong programming and data-analysis skills in Python, R, and SQL. Proficiency in all three is required.

Experience working with behavioral, survey, product, or text data.

A solid understanding of experimental design, statistical inference, and measurement reliability and validity.

The ability to translate an open-ended business or research question into a practical analysis and communicate findings clearly in English.

The ability to work independently and collaborate with product and engineering colleagues.

Experience with NLP, generative AI evaluation, causal inference, longitudinal analysis, or consumer product analytics would be an asset. We welcome candidates whose experience combines academic research and industry applications.

You will have the opportunity to establish how Sayglade measures AI quality, identifies meaningful product improvements, and applies behavioral science to everyday communication.

To apply, submit your résumé and a brief description of a relevant research or analytics project. Explain the question you addressed, your contribution, the methods you used, and how the findings informed a decision. Please share only material you are authorized to disclose.

Learn more at https://sayglade.com.

Apply About employer

More about this job

Responsibilities

Prepare and analyze product, feedback, and authorized evaluation data; develop statistical and NLP models; and design methods to evaluate AI responses and compare models, prompts, and product approaches. Measure product outcomes, collaborate with engineering to implement validated improvements, and communicate findings through visualizations, reports, and recommendations.

Requirements

A master’s or doctoral degree in a quantitative discipline and applied experience in statistical modeling or machine learning are required, along with proficiency in Python, R, and SQL. Candidates should have experience with behavioral, survey, product, or text data and a strong grounding in experimental design, statistical inference, and measurement, as well as the ability to communicate findings clearly in English.

Skills

Statistical Modeling
Machine Learning
Python
R
SQL
Natural Language Processing
AI Evaluation
Experimental Design
Statistical Inference
Measurement Reliability and Validity
Data Analysis
Data Visualization
Product Analytics
Behavioral Science
Research Communication

Visa sponsorship

Not detected in the job text

Keywords

Python
R
SQL
Statistical Modeling
Machine Learning
Natural Language Processing
Generative AI Evaluation
Behavioral Science
Psychometrics
Educational Measurement
Product Analytics
Experimental Design
Statistical Inference
Measurement Reliability
Measurement Validity
Causal Inference
Longitudinal Analysis
Data Quality
Evaluation Datasets
Automated Scoring
Human Review
Language Models
Prompt Evaluation
Product Experimentation
Retention Analysis
Data Visualization
Research Reports
Privacy
User Feedback

Report this job