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9,724

Human Resouces jobs in Canada

Data Scientist Manager

OLG

Sault Ste. Marie
Hybrid
CAD 78,000 - 118,000
30+ days ago
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SHUTTLE BUS DRIVER PSAC

Hard Rock Hotels

Ottawa
On-site
CAD 45,000 - 60,000
30+ days ago

SPECIALTY COOK - NOODLE BAR

Hard Rock Hotels

Ottawa
On-site
CAD 40,000 - 55,000
30+ days ago

Lead Ingénieur électrique - régulateur de vitesse / Lead Electrical Engineer - Speed governors

GE Vernova

Brossard
On-site
CAD 70,000 - 90,000
30+ days ago

Customer Service Supervisor (NOC 62010)

Northwest Employment Works

Sioux Lookout
On-site
CAD 50,000 - 70,000
30+ days ago
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Intermediate Specialist, Enterprise Systems

Porter Airlines Inc.

Toronto
On-site
CAD 80,000 - 100,000
30+ days ago

Associé(e) aux ventes

GLENTEL INC

Westmount
On-site
CAD 30,000 - 50,000
30+ days ago

Manufacturing Manager

Syntron Material Handling Group

Surrey
On-site
CAD 80,000 - 120,000
30+ days ago
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Pouch Operator - Evening Shift (Full Time)

ePac LLC

Mississauga
On-site
CAD 40,000 - 55,000
30+ days ago

People Business Partner

Lightspeed

Montreal
Hybrid
CAD 70,000 - 100,000
30+ days ago

Technical Service Representative

Epiroc Group

Val-d'Or
On-site
CAD 65,000 - 85,000
30+ days ago

Production Supervisor

Intercity Packers Ltd.

Richmond
On-site
CAD 58,000 - 63,000
30+ days ago

Data Scientist

Rocket Companies

Windsor
On-site
CAD 80,000 - 120,000
30+ days ago

Nurse A - Registered Nurse Registered Psych Nurse

Saskatchewan Health Authority

Yorkton
On-site
CAD 38,000 - 51,000
30+ days ago

Operations Shift Supervisor

Tenaris

Sault Ste. Marie
On-site
CAD 70,000 - 90,000
30+ days ago

Senior Manager, Assurance and Accounting

MNP

Summerside
On-site
CAD 85,000 - 110,000
30+ days ago

Data Scientist

Rock Connections

Windsor
On-site
CAD 90,000 - 120,000
30+ days ago

Client Success & Payroll Solutions Specialist

Vensure Employer Services

Quebec
On-site
CAD 30,000 - 60,000
30+ days ago

Client Relations Specialist - Canada - On Site

Vensure Employer Services

Quebec
On-site
CAD 30,000 - 60,000
30+ days ago

Canada Research Chair (CRC) in Advanced Nuclear Engineering - Tier 2

Ontario Tech University

Oshawa
On-site
CAD 80,000 - 100,000
30+ days ago

Maintenance Technical Lead

RGBSI

Windsor
On-site
CAD 60,000 - 80,000
30+ days ago

District Manager, (HUNTER)Majors Accounts

ADP

Burnaby
On-site
CAD 101,000 - 173,000
30+ days ago

ERGOTHÉRAPEUTE - QUÉBEC - CIUSSS DE LA CAPITALE-NATIONALE

Santé Montréal

Quebec
On-site
CAD 60,000 - 80,000
30+ days ago

Roofing Foreman

Flynn Group of Companies

Regina
On-site
CAD 60,000 - 80,000
30+ days ago

QNX Senior Technical Project Manager

BlackBerry Inc.

Ottawa
On-site
CAD 100,000 - 130,000
30+ days ago

Top job titles:

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Top companies:

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Similar jobs:

Human Resources Coordinator jobsHuman Resources Generalist jobsHuman Resources Manager jobsHuman Rights jobsHumanitarian jobs
Data Scientist Manager
OLG
Sault Ste. Marie
Hybrid
CAD 78,000 - 118,000
Full time
30+ days ago

Job summary

An innovative gaming organization seeks a Data Scientist Manager to leverage AI and machine learning in developing data-driven solutions. This role involves analyzing complex data, designing AI applications, and collaborating across teams to enhance operational efficiency. Candidates should possess a Master's in STEM and have experience with Python and AI frameworks, along with strong communication skills. A flexible work environment and a commitment to equity and inclusion are key benefits of joining this forward-thinking team.

Benefits

Flexible Work Environment
Public Service Pension Plan
Learning Galore

Qualifications

  • 3-5 years of experience in a comparable analytical role.
  • Strong Python skills and familiarity with GenAI frameworks.
  • Experience working in Microsoft Azure cloud services.

Responsibilities

  • Communicate complex insights to stakeholders, translating findings into actionable recommendations.
  • Design and prototype Generative AI applications for user-friendly solutions.
  • Develop, validate, and maintain predictive models for strategic planning.

Skills

Python
AI technologies
Data translation

Education

Master's degree in STEM

Tools

Azure
LangChain
Streamlit
Job description

Range:

78,400.00 - 117,600.00 CAD

Job Description:

Data Scientist Manager

GAME ON – OLG needs you

We’ve said GAME ON, and we mean it – OLG is rapidly transforming its organization to better serve Ontarians by delivering great gaming experiences through our digital, retail lottery, and land-based gaming channels. Over the course of fiscal 2023-24, OLG delivered a record $2.4 billion in net profit to the Province of Ontario. OLG is now expanding our horizons even further, with a new strategic direction that builds on successes to date as a world class gaming entertainment leader with a globally admired omni-channel platform.

We are ready to take this game to the next level and need a passionate Data Scientist Manager to apply AI and machine learning techniques to develop data-driven solutions that support strategic initiatives and stakeholder needs. This role delivers insights through advanced analytics, predictive modeling, and ad-hoc analysis, helping teams make informed decisions and drive innovation across the organization..

YOUR ROLE IN THE GAME

Reporting to the Director Advanced Analytics, you will be empowered to:

• Communicate complex insights clearly to both technical and non-technical stakeholders, translating analytical findings into actionable business recommendations.

• Design and prototype Generative AI applications using tools such as LangChain, Streamlit, and vector databases to create innovative, user-friendly solutions, ensuring usability, scalability and alignment with business needs

• Collaborate cross-functionally with the Advanced Analytics team and business units to identify opportunities and implement AI-driven workflows that address real-world challenges.

• Utilize Python and LLM APIs to build intelligent systems that automate decisions, personalize customer interactions, and improve operational efficiency.

• Perform prompt engineering and data wrangling to fine-tune model inputs, ensure data quality, and support iterative model improvement based on user feedback.

• Develop, validate, and maintain predictive models using both traditional machine learning and advanced AI techniques to support forecasting and strategic planning.

• Document models, methodologies, and workflows in a clear and structured manner to ensure transparency, reproducibility, and knowledge sharing.

• Monitor and evaluate model performance continuously, taking ownership of the validation process to ensure accuracy, fairness, and alignment with business goals.

• Stay current with emerging AI frameworks, libraries, and platforms. Evaluate and recommend new tools that enhance the team’s capabilities and efficiency.

WHAT YOU NEED TO PLAY

Work Experience: · 3-5 years of experience in a comparable analytical role. · Experience working with AI technologies · Experience building, updating and explaining data analysis and advanced analytical modeling.

Education: · Masters degree in STEM (such as statistics, Computer Science · Strong Python skills and familiarity with GenAI frameworks (e.g., LangChain, OpenAI API, HuggingFace, etc.) · Experience with Streamlit or similar tools to deploy interactive AI applications · Solid understanding of data science and automation workflows (Pandas, NumPy, Git, SQL) · Experience working in Microsoft Azure cloud services, with hands-on experience in Azure Blob Storage, Azure Functions, Azure AI Search, and Azure AI Foundry. · Strong knowledge in Python and related packages (Python, Data Science, Machine Learning, Automation, Data Analytics, Git, Programming, SQL, Pandas, Numpy etc.) · Proficient in exploratory data analysis in python · Strong knowledge in ML work such as XGB etc.

Critical Skills: · Strong communication and presentation skills (verbal and written) combined with the ability to effectively · Data translation capabilities: ability to explain analytical and statistical modeling.

Negotiation and Influence : ability to negotiate and influence effectively while being open to perspectives and maintaining strong relationships

Strategic Thinker : strong strategic and critical thinker with ability to delve into unique challenges and find creative solutions

Collaboration & Fun : inclusive and collaborative work style while creating fun and excitement in our work

Integrity and Trust : do what's right and operate with transparency and openness

PERKS OF JOINING OUR TEAM

  • Part of a Bigger Picture: socially responsible company that gives back all its profits to the province and people of Ontario
  • Flexible Work Environment: to help balance both work and life
  • You Matter: family friendly work practices and hybrid work
  • Freedom to Innovate: supports new and better ways to be successful
  • Be your Authentic Self: environment that values diversity as a source of strength
  • Learning Galore: 24-7 access to robust online learning programs
  • Public Service Pension Plan: participate in a major defined benefit pension plan sponsored by the Government of Ontario
  • Variable Pay Program: performance-based incentives to share in our success (Permanent OLG Employees Only)

Learn about OLG – GAME ON!

OLG’s purpose is to contribute to a better Ontario by delivering great entertainment experiences for our customers. We are a multi-billion-dollar organization with a wide array of business lines including, lottery, land-based casinos, digital lottery and casino, horseracing, and charitable gaming. OLG is amidst a massive transformation focusing on being customer obsessed and bringing our digital business to a whole new level.

The key to our success is our people. Our culture will be grounded in true, positive partnerships that embrace trust, clarity, and openness in all that we do. We are supporting and empowering employees and teams across the organization through greater accountability, leadership development and growth opportunities. OLG is embracing more flexible work options and family friendly work practices including hybrid work.

Equity, diversity, and inclusion are essential elements of our culture and cornerstones of the Five Truths that OLGers Live by. At OLG, our employees have the space to be themselves and use their perspectives and skills to benefit the people and the Province of Ontario.

While we are re-shaping and growing our business, we are unwavering when it comes to living our purpose, and ensuring our business delivers meaningful benefits for the people of Ontario. OLG’s net profits are reinvested back into the province, contributing to the quality of life for Ontarians.

To learn more about OLG go to our website at www.olg.ca

We look forward to hearing from you, interested applicants please apply online by September 1, 2025.

OLG is an equal opportunity employer. We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Please contact Human Resources at careers@olg.ca if you require accommodation at any time throughout the hire process .

We thank you for your interest in this opportunity; however only those individuals selected for an interview will be contacted.

#LIHYBRID

Personal information is collected by the Ontario Lottery & Gaming Corporation (OLG) and/or its third party service provider(s) under the authority of the Ontario Lottery and Gaming Corporation Act, 1999, SO 1999, c 12, Sch L and the Employment Standards Act, 2000, S.O. 2000, c. 41 (as amended) and will be used for the purpose of determining qualifications for employment with OLG and for recruitment modernization initiatives. The information will be managed in accordance with all applicable laws, OLG’s Protection of Privacy Policy (the Policy) and related policies and procedures. For any questions about this collection, please contact careers@olg.ca, 800-70 Foster Drive, Sault Ste. Marie, ON, P6A 6V2.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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