Senior Manager, Data Science at Numeris

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

12 Sep, 26

Salary

150000.0

Posted On

15 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Theoretical Statistics, Applied Statistics, Machine Learning, Data Integration, Natural Language Processing, AI Methodologies, Python, R, People Management, Sample Design, Forecasting, Critical Thinking, Data Mining, Statistical Modeling, Advanced Analytics, Leadership

Industry

Market Research

Description

Numeris is Canada’s most trusted and authoritative source for broadcast measurement and consumer behaviour data. As well, the industry leading intelligence provider to broadcasters, advertisers, and agencies. We have been recognized for over 75 years as providing the gold standard in audience intelligence. We have great people who do exceptional work. We take pride in building an environment of continuous learning and career advancement opportunities. Our teams are collaborative, curious, and dedicated to creating quality experiences. We love what we do, enjoy each other’s company, and support initiatives to give back to our communities. We are looking for people to help us shape the future of Numeris, and have a lot of fun along the way. The Senior Manager, Data Science is responsible for the design and validation of advanced analytics methodologies at Numeris. This role leads the review and application of machine learning, statistical approaches and hybrid methodologies, integrates diverse data sources and ensures the accuracy, reliability and research rigour of both syndicated and ad-hoc outputs. The Senior Manager provides technical leadership and people management for the Data Science team, while working closely with other teams within Research as well as Product, Technology and Operations stakeholders. \n What you will do Be responsible for the quality and statistical research rigor of Numeris data products including developing and reviewing weighting, fusion, calibration, attribution and other statistical processes as well as the accuracy and reliability of data outputs. Manage the Data Science team in order to provide recommendations for the use of statistical, Data Science and AI methodologies, the continuous improvement of current analytical data processes and procedures, and the expansion of value added to data products. Oversee the application and review of data mining, data integration and hybrid methodologies. Assess the integrity of statistical and machine learning models developed internally or built externally by business partners, guaranteeing the use of rigorous research statistical and data science standards. Develop and support alternative or new approaches including hybrid methodologies for the mining, management, production and usability of new data outputs, leveraging both data and information from a variety of internal and external sources. Produce, supervise and vet reports and recommendations based on data modelling, advanced analytics and simulations with business impact on Numeris clients. Support automation projects throughout the organization by implementing solutions that drive efficiency. Work closely with Data Science partners, as well as internal Product, Technology and Operations staff. What you have Education & Certifications Master’s or Doctorate degree in Statistics or Data Science or related field with strong statistical and computational skills. Accredited Statistician or Advanced Data Science certifications preferred Skills & Experience 5 years or more in a similar role or a combination of experience and educational background. Expertise in theoretical and applied statistics, from sample design to modeling and forecasting. Solid knowledge of advanced analytics, data integration, natural language processing and AI-driven methodologies. Familiarity with Large Language Models and synthetic population frameworks considered an asset. Advanced knowledge of statistical packages and data science programming (e.g. Python, R). Advanced analytical and critical thinking skills. Strong leadership and people management skills. What's in it for you? Be part of an evolutionary journey in the audience measurement and data space; work on exciting projects, add value & make a positive impact to our Company. The base pay range for this position is $120,000-$150,000 CAD/year, with an Annual Incentive Plan bonus. The base pay offered may vary depending on job-related knowledge, skills and experience. Benefits package, group savings and retirement program. (Health and Dental employer paid premiums). Hybrid Work: on-site office in Toronto and work from home as required per the role. 4 weeks paid vacation. Education Reimbursement: For those wishing to pursue additional professional development, funding up to $1000 per year is offered (some conditions apply). Continuous learning and development via Percipio, our Learning Management System. Be part of additional programs such as MentorMe, which helps our employee’s network, and grow within the organization. Leadership Training offerings for new and emerging leaders. Culture of great teams, coworkers and supportive leadership. Perkopolis: Participation in a program that provides exclusive discounts on products and services to employees. Perks include shopping discounts, movie tickets, services, event/show tickets and much more! \n $120,000 - $150,000 a year \n Values Stronger Together: We succeed through collaboration with each other and with the industry. Unity drives our impact. Innovation with Intent: We embrace change and challenge convention. Our innovation is purposeful, driven by insights, guided by strategy, and focused on delivering meaningful future-proofed solutions. People First: We prioritize the well-being, growth and voices of our people. We actively listen, support development, and create space where everyone can succeed. Excellence in Motion: We pursue continuous improvement in everything we do, from our processes to our time to market. With a growth mindset and a commitment to excellence, we bring solutions to life with precision and purpose. Numeris is an equal opportunity employer We are committed to creating an accessible environment for all our employees and foster a culture that focuses on diversity, equity, inclusion and belonging. We believe that a diverse workforce helps everyone contribute in meaningful ways towards our shared success.

Responsibilities

Lead the design and validation of advanced analytics methodologies and oversee the Data Science team's application of machine learning and statistical approaches. Ensure the accuracy and research rigor of data products while collaborating with Product, Technology, and Operations stakeholders.