Data Scientist, Analytics & Insights

Position:

Data Scientist, Analytics & Insights

Reports to:

Director, Data Intelligence

Position Term:

Full Time Permanent

Primary Location:

Mississauga, Ontario, Canada

Workplace Type:

Hybrid

Job Purpose

The Data Scientist, Analytics & Insights is responsible for discovering insights and identifying opportunities to optimize experiences and help guide and inform key business decisions using statistical, algorithmic, mining and visualization techniques. In addition to advanced analytic skills, this role is also proficient at integrating and preparing large, varied data-sets, architect of specialized database and computing environments, and communicating results.

This role would act as a general consultant to the business on analytics initiatives, and designs and implements end-to-end solutions through the use of well-established and leading edge techniques; the Data Scientist will determine the appropriate solution to address the business problem at hand, extract and manipulate the data from various sources, execute and deploy the solution collaborating with other areas of the organization as needed, and communicate results back to the business in a clear and timely manner.

This role supports the core mandate of the Data Science & Advanced Analytics department, which is to create lasting Customer-Focused Analytics Solutions covering all data domains (customer, financial, operations, impact, third party) and enable Insights-led Decision Making across the organization.

Responsibilities

• Consults with business partners and identifies appropriate research approach/design to address the business problem at hand.
• Provides in-depth customer analysis and insight, helping to guide and inform decisions to optimize marketing initiatives, research customer personas, segments, and journeys, and highlighting trends as necessary.
• Mines internal and external data to develop research results that emphasizes actionable recommendations and insights to support business decisions and marketing optimization.
• Extracts and validates structured and unstructured data from various sources, proactively identifying new data sources to integrate into data analytics models.
• Manipulates large data sets from multiple sources, performing big data analytics where possible to understand emerging trends, patterns, or insights through the use of statistical analysis.
• Creates predictive models that inform key business decisions and executes models from design through to deployment, ensuring accuracy of data and that models are viable, repeatable, and scalable; reports on model results once applied.
• Educates the organization on advanced analytics approaches and techniques used, such as testing hypotheses and predictive modelling, helping the organization understand the principles and the underlying logic behind the process.
• Leads model governance planning and execution process.
• Takes initiative to find better methodologies and approaches to produce accurate, timely and actionable insights for WVC internal stakeholders and donor audiences.
• Develops clear and comprehensive presentations of analytics results that emphasizes actionable recommendations and insights to support the development of new strategies and tactics.

Qualifications

• 3 to 5 years of relevant advanced analytics experience; experience working in an Agile environment an asset.
• Bachelor’s degree in mathematics, statistics or computer science or related field.
• Master’s degree preferred; certification in machine learning and/or big data an asset.
• Solid knowledge of statistical techniques with a focus on customer and digital data, analytical modelling and other advanced analytics techniques (such as statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms).
• Proficient in the use of statistical packages; strong programming skills (such as Hadoop, MapReduce or other big data frameworks, Java), and statistical modelling (like SAS, Python or R)
• Experience developing and using machine learning algorithms
• Expertise in Natural Language Processing, prompt engineering and domain knowledge to extract insights from unstructured data and translate LLM outputs into actionable recommendations
• Demonstrates the following data scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, and fairness.
• Proven ability to think strategically and to come up with solutions to loosely defined business problems.
• Strong interpersonal skills; a strong team player and collaborative with other departments
• Curious mindset; demonstrated analytical and communication skills, and commitment to life-long, hands-on learning.

Why Consider Us?

• Our competitive compensation & benefits include:
• Health Spending Account
• Up to 6% matched pension contributions
• Parental leave top-up
• Generous paid vacation, sick days, wellness and personal days
• Office closed extra days before long weekends (6x/year)
• World Vision Canada has consistently been awarded Canada and GTA top employer awards.
• We are Canada’s largest development, relief, and advocacy non-profit organization.
• We embody an Agile mindset here.

#LI-Hybrid

Job Family

Resource Development & Fundraising

Job Function

Individual Contributor

Pay Type

Salary

Employment Indicator

Hybrid