As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature engineering and predictive modeling to provide actionable insights and strategic direction for business leaders. The Data Scientist delves into the recesses of large data sets of structured, semi-structured and unstructured data to discover hidden knowledge about our business and to develop methods to leverage that knowledge within our line of business.

About therole

Analyze, manipulate and process large sets of data

Develop predictive/machine learning models from large sets of structured and unstructured data

Identify methods that allow continuous and automated statistical testing to enhance the predictability of deployed models

Apply feature selection algorithms to models predicting outcomes of interest

Apply sampling techniques to determine groups to be surveyed

Compare models using statistical performance metrics, such as loss functions or proportion of explained variance

Create graphs, charts or other visualizations to convey the results of data analysis

Deliver oral or written presentations of the results of mathematical modeling and data analysis to stakeholders

Identify business problems or leader objectives that can be addressed through data analysis

Identify relationships and trends or any factors that could affect the results of research

Identify and propose solutions to business problems using the results of data analysis

Test, validate and reformulate models to ensure accurate prediction of outcomes of interest

Write recent functions or applications to conduct analyses

Partner with machine learning engineers on the deployment of applicable models for business projects

Communicate analyses, conclusions and solutions clearly to all audiences

Sequence the steps involved to deliver a working model, estimate the timelines for the completion of work and communicate this information to the project manager

Advise project teams on application improvements that will result in enhanced predictive and prescriptive models





Develop and evangelize best practices for statistical or behavioral models

Drive the collection of new data and the refinement of existing data sources

Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses

Mentor and train associate data scientists

Aboutyou

3 years of experience working with large data sets in one or more of the following environments - Hadoop, AWS, Azure or GCP

3 years of experience with statistical and data mining tools and methods

3 years of experience with supervised models (e.g., regression, neural networks) and unsupervised techniques (clustering, PCA, SVMs)

3 years of experience working with SQL

3 years of experience in Python and at least one strongly typed language (e.g., C++, Java, etc.)

3 years of experience with statistical packages

3 years of experience providing predictive and prescriptive analytics in a business setting

Master’s degree in mathematics, statistics, computer science or a related field or equivalent experience

Advanced understanding of data visualization libraries

Advanced understanding of statistical methodologies for modeling and business analytics

Whatyou’llget
Our team members fuel our strategy,innovationand growth, so we ensure the health and well-being of not just you, but your family, too! We goabove and beyondto give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team membersperksand health benefits that will help you have peace of mind. Simply put:We’vegot your back. Check out our full list of Benefits and Perks.

Aboutus
Rocket Innovation Studio (RIS) launched in 2019 and has gone on to make its mark in the Canadian fintech industry.



Headquartered at 156 Chatham Street in Windsor, Ontario, the company renovated the historic building which began as an auto showroom and garage before becoming a furniture store, the Old Fish Market, the Coach and Horses Pub, and the Loop.

With the backing of Rocket Companies®, RISis able tocapitalize on the creativity and growth of a startup environment with the stability and enterprise experience of a mature company. At RIS, Canadian talentis able tocollaborate, design, build, test and return a full range of custom IT solutions. RIS is leading the charge to make Windsor Canada's tech hub.

Applicantsrequiringreasonable accommodations in completing the application and/orparticipatingin the application process should contact a member of the Human Resources team, at [email protected].

Disclaimer
Thispostingis for an existing vacancy for aData Scientistat Rocket Innovation Studio. The compensation for this position is$102,500-$152,500. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, retirement plan, and paid time off. More informationregardingthese benefits and others can be found here. The informationregardingcompensation and other benefits included in this paragraph is only an estimate and is subject to revision from time to time as the Company, in its sole and exclusive discretion,deemsappropriate. The Company maydetermineduring its review of the proposed compensation and benefits provided for this position, that the compensation and benefits for suchpositionshould be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position.

Our Talent Acquisitionteam uses artificial intelligence toassistinscreening, assessing, or selecting applicants. Our hiring process is never completely automated and uses AI in conjunction with our recruiting and talent acquisitionprofessionals.

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📌 Data Scientist Rocket Companies · 2 Locations · Data Science CA$102,500–CA$152,500 4w ago (Ontario)
🏢 Dataroles
📍 Ontario