Data Science Manager - (Spendscape)
The Data Science Manager oversees all data, analytics, experimentations and insights across Spendscape Inc. Identify future product opportunities and drive efforts to determine and implement new ideas, consulting service, and key metrics and the levers to influence them. The incumbent applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex, high volume data from a variety of sources. Analyzes large quantities of data and presents insights and predictions (e.g., on client behaviors and preferences, new products and consulting services) to support management planning, execution and monitoring of business decisions.
This role will collaborate with various groups across Moneris and Spendscape to build accurate and effective data analytics products. The incumbent will be a creator and leader of external analytics and data products to support commercialization of data.
Key accountabilities include:
Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
Deliver better predictions and/or intelligent automation that enables smarter business decisions, and drive productivity
Applies strong communication and story-telling skills to summarize findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups.
Applying new and cutting edge methodologies in order to create new data products.
Lead and leverage analytics and insights to advance the commercialization and monetization of data. Identify industry insights and business trends to provide business opportunity for Spendscape to expand consumption, commercialization and monetization of data.
Partner with engineers to ensure that data is appropriately identified, recorded, transformed, and furnished for consumption
Collaborate with developers, sales, and other data scientists to embed data science findings within analysis and reporting.
Evangelize the power of analytics to improve the business and its operation.
Additionally, the information collected is used to comply and facilitate all legal and regulatory requirements.
Data Science Manager
Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
Lead the development of statistical models to extract trends, measure results, and predict future performance of our product.
Post-Secondary education in Data Science, Computer Science, Mathematics, Statistics, or Engineering, ideally with a Masters in one of these fields preferred, PhD considered an asset
5-7 years of experience in a programming role involving statistical modelling and machine learning
Minimum Experience, Technical Skills:
Ability to understand complex business problems and break down analytics projects into a structured approach. Explaining complex terms in simple language
Programming; preferably with R, Python, and SQL
Experience in deployment of models in a production environment such as Azure and DataBricks
Proficient with Microsoft Windows/ MS Office Applications
Fluent in English (reading, writing, and verbal) though Bilingualism in French considered an asset.
Develops and fosters exceptional relationships across various stakeholders, including senior management.
Dedicated and committed to our customers.
Highly developed and proven consulting, change management, project management and strategic thinking capability
Passionate with a deeply analytical mindset
Strong written and verbal communication skills.
Excellent time management ability to manage multiple priorities in an agile environment with ability to meet time compressed deadlines.
A team player that can support the team to accomplish our mission to be a world-class company driven by data.
Note: We welcome and encourage applications from indigenous people, people of colour, people with disabilities, people of all genders, sexual orientation and intersectional identities.