About the role
Connect with us LinkedIn**,** Instagram**,** Facebook**,** Twitter
Thinking about a change?
We recognize that the construction industry is changing at a rapid pace and we continually strive to be at the forefront. Our core values empower people to deliver great careers to one another and develop creative solutions for complex problems on some of the most exciting projects. It doesn’t matter what your expertise and craft is – there are no boundaries. We are a group of professionals with a variety of expertise within pre-construction, construction, and post-construction. To learn more, check out our Cradle to Grave services and hear from our team directly about what a career at EllisDon could look like for you. As you can see, we are a diverse bunch.
Above all, we are a group of individuals with unique experiences and at EllisDon, we choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve to their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.
In case you’re curious, here’s what the industry thinks of us and some of the impacts we've made to the communities we work in.
You as a Data Scientist will:
- Rapidly prototype and deploy machine learning models to unlock actionable insights and solve real business challenges across a lean, dynamic team
- Leverage your knowledge of statistical methods and applications; expertise with data mining tools and techniques; and advanced analytical ability to derive actionable insights
- Analyze and dissect large, structured and unstructured datasets to identify meaningful patterns
- Seek out and experiment with new tools, open-source solutions, and partnerships to accelerate automation and innovation in our core business
- Support the development of robust, scalable data pipelines and help ship predictive models to production—adapting best practices to our unique startup context.
- Assist with the creation of informative visualizations that intuitively displays large amounts of data and/or complex relationships
- Communicate and explain complex algorithm and its outputs to business stakeholders in a succinct and coherent manner
Is this the right role for you?
- 2+ years of experience as a Data Scientist.
- Graduate or post-graduate university degree in Computer Science, Mathematics or Statistics, Engineering or equivalent.
- Extensive experience solving analytical problems using quantitative approaches.
- Comfort manipulating and analyzing complex, high-volume, high dimensionality data from varying sources.
- Experience with very large datasets. Familiarity with relational, SQL, and NoSQL databases.
- Expert knowledge of statistical analysis tools such as R, Matlab, Python or equivalent. Fluency with scripting languages such as Python or other.
- Familiarity with basic statistical applications and machine learning algorithms (eg. linear/logistic regression, SVM, gradient boosting trees, supervised/unsupervised learning, deep learning).
Go ahead and be yourself. We'll pay you for it!
We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.
Accommodation for Applicants with disabilities will be made during the recruitment process when requested.
We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.
About EllisDon
EllisDon, an employee-owned, $5 billion-a-year construction services company that has grown exponentially beyond its modest origins in London, Ontario. With over 5,000 salaried and hourly employees across fifteen national and international offices, EllisDon has become a leader in every sector and nearly every facet of the construction industry.
EllisDon has positioned itself as a ‘Cradle To Grave’ Services Provider with guaranteed performance outcomes through its Capital Services, Facilities Management, and Sustainable Buildings Divisions. EllisDon is determined to lead the coming disruption in the construction sector, having recently created pioneering initiatives in Energy Management, Smart Buildings Software and Data Analytics.
About the role
Connect with us LinkedIn**,** Instagram**,** Facebook**,** Twitter
Thinking about a change?
We recognize that the construction industry is changing at a rapid pace and we continually strive to be at the forefront. Our core values empower people to deliver great careers to one another and develop creative solutions for complex problems on some of the most exciting projects. It doesn’t matter what your expertise and craft is – there are no boundaries. We are a group of professionals with a variety of expertise within pre-construction, construction, and post-construction. To learn more, check out our Cradle to Grave services and hear from our team directly about what a career at EllisDon could look like for you. As you can see, we are a diverse bunch.
Above all, we are a group of individuals with unique experiences and at EllisDon, we choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve to their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.
In case you’re curious, here’s what the industry thinks of us and some of the impacts we've made to the communities we work in.
You as a Data Scientist will:
- Rapidly prototype and deploy machine learning models to unlock actionable insights and solve real business challenges across a lean, dynamic team
- Leverage your knowledge of statistical methods and applications; expertise with data mining tools and techniques; and advanced analytical ability to derive actionable insights
- Analyze and dissect large, structured and unstructured datasets to identify meaningful patterns
- Seek out and experiment with new tools, open-source solutions, and partnerships to accelerate automation and innovation in our core business
- Support the development of robust, scalable data pipelines and help ship predictive models to production—adapting best practices to our unique startup context.
- Assist with the creation of informative visualizations that intuitively displays large amounts of data and/or complex relationships
- Communicate and explain complex algorithm and its outputs to business stakeholders in a succinct and coherent manner
Is this the right role for you?
- 2+ years of experience as a Data Scientist.
- Graduate or post-graduate university degree in Computer Science, Mathematics or Statistics, Engineering or equivalent.
- Extensive experience solving analytical problems using quantitative approaches.
- Comfort manipulating and analyzing complex, high-volume, high dimensionality data from varying sources.
- Experience with very large datasets. Familiarity with relational, SQL, and NoSQL databases.
- Expert knowledge of statistical analysis tools such as R, Matlab, Python or equivalent. Fluency with scripting languages such as Python or other.
- Familiarity with basic statistical applications and machine learning algorithms (eg. linear/logistic regression, SVM, gradient boosting trees, supervised/unsupervised learning, deep learning).
Go ahead and be yourself. We'll pay you for it!
We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.
Accommodation for Applicants with disabilities will be made during the recruitment process when requested.
We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.
About EllisDon
EllisDon, an employee-owned, $5 billion-a-year construction services company that has grown exponentially beyond its modest origins in London, Ontario. With over 5,000 salaried and hourly employees across fifteen national and international offices, EllisDon has become a leader in every sector and nearly every facet of the construction industry.
EllisDon has positioned itself as a ‘Cradle To Grave’ Services Provider with guaranteed performance outcomes through its Capital Services, Facilities Management, and Sustainable Buildings Divisions. EllisDon is determined to lead the coming disruption in the construction sector, having recently created pioneering initiatives in Energy Management, Smart Buildings Software and Data Analytics.