Data Scientist

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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:

• Apply and research on machine learning models for deployment with the goals to derive powerful insights, help solve business problems across multiple departments, and provide recommendations to improve pre-existing data structure
• Leverage your knowledge of statistical methods and applications; expertise with data mining tools and techniques; and advanced analytical ability to derive actionable insights from big data
• Analyze and dissect large, structured and unstructured datasets to identify meaningful patterns for potential forecasting abilities and insight delivery
• Analyze large and complex data-sets to identify meaningful patterns that deliver insight.
• Work with cross-departmental teams to identify high-value use scenarios that are amenable to an analytics solution.
• Actively work with third-party partnerships to identify machine learning opportunities to automate and diversify Ellis Don's core competency in-house
• Communicate and explain complex algorithm and its outputs to business stakeholders in a succinct and coherent manner
• Assist data engineers and establish best practices for building machine learning pipelines and shipping predictive models to production
• Assist with the creation of informative visualizations that intuitively displays large amounts of data and/or complex relationships;

Is this the right role for you?

• Graduate or post-graduate university degree in Computer Science, Mathematics or Statistics, Engineering or equivalent.
• 2-4 years of relevant work experience.
• 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).