Senior Data Scientist
Deloitte View all jobs
- Toronto, ON
- $72,000-138,000 per year
- Permanent
- Full-time
Work Model: Hybrid
Reference code: 132159
Primary Location: Toronto, ON
All Available Locations: Toronto, ON; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Moncton, NB; Ottawa, ON; Regina, SK; Saint John, NB; Saskatoon, SK; St. John's, NL; Vancouver, BC; Victoria, BC; Winnipeg, MBOur PurposeAt Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.By living our Purpose, we will make an impact that matters.
- Have many careers in one Firm.
- Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
- Learn from deep subject matter experts through mentoring and on the job coaching
- Data analysis and modelling experience using Python.
- Experience with one or more Cloud ML (AWS, GCP, Azure) or similar tools is an asset
- 3+ years relevant work experience with applying analytics or model development using data in a professional context.
- Significant experience with statistical, analytical, and machine learning techniques, data mining, linear programing / optimization, and predictive models.
- Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools.
- Experience with natural language processing, computer vision, and/or GenAI is an asset.
- Advanced degree (MA/MSc, equivalent or higher) in Applied Mathematics, Statistics, Computer Science, or related field is strongly preferred.
- BA/BSc degree in these fields will be considered if coupled with significant industry experience demonstrating independent ability to tackle complex problems.
- Significant experience with Machine Learning Project management is an asset.
- Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective.
- Enthusiasm for solving complex problems with a variety of analytical tools.
- Professional services, consulting, or advisory experience is an asset.
- Strong oral and written communication skills
- Interest in continuing to develop analytical and business development skills.