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Data Scientist

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Cogeco Inc.

Jan 9, 2025

  • Job
    Full-time
    Senior Level
  • Science
    Data
  • Burlington
  • Quick Apply

AI generated summary

  • You need a relevant degree, 2-5 years of experience, SQL and Python proficiency, strong analytical skills, machine learning expertise, cloud platform experience, and excellent communication abilities.
  • You will develop and deploy predictive models, analyze data, improve customer segmentation, collaborate with teams, and advocate for data-driven decision-making to solve business challenges.

Requirements

  • Bachelor’s degree required, MS or PhD preferred.
  • Bachelor’s in Data Science, Computer Science, Engineering, Applied Mathematics, Statistics and 5+ years experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience.
  • Must have proficiency writing complex SQL queries.
  • Advanced hands-on experience with the Python data science stack.
  • Track record of analytical projects covering all stages of the data science lifecycle.
  • Strong understanding of quantitative approaches, their benefits, and their limitations.
  • Analytical ability required to gather data, perform transformation, perform complex analysis, solve both business and technical problems.
  • Proficiency with data mining, mathematics, and statistical analysis.
  • Experience in pattern recognition and predictive modeling.
  • Experience with cloud platforms like Google Cloud, AWS, or Azure.
  • Excellent interpersonal, communication, listening, and presentation skills.
  • Excellent problem-solving skills and the ability to work independently as well as in a team.
  • Must have proficiency with Machine Learning to solve clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets.
  • Experience with data visualization tools preferred — Tableau, PowerBI, Looker, Plotly, etc.
  • Strong understanding of Agile methodologies.
  • Openness to working in Agile environments with multiple stakeholders.
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.
  • Bias for action, with ability to deliver outstanding results through task prioritization and time management.
  • Demonstrated ability to efficiently learn and solve new business domains and problems.
  • Number sense; healthy skepticism around validity of data and its inherent biases.
  • Intellectual curiosity to understand and answer questions.
  • Intellectual humility to leverage the expertise of others.

Responsibilities

  • As a Data Scientist at Cogeco, you will develop predictive modeling and machine learning solutions to complex business problems creating value for the business.
  • Transform data into insights that help to improve the value of the business
  • Execute exploratory data analysis, data preprocessing, model development, model deployment and monitoring.
  • Utilize machine learning techniques to improve customer segmentation, churn prediction, and personalized marketing efforts.
  • Plan and execute analytical experiments to help solve business problems
  • Propose solutions and strategies to business challenges
  • Continuously refine and improve models based on feedback and changing business needs.
  • Leverage advanced analytics techniques to develop deep knowledge of the customer experience, use data and analytics to optimize marketing campaigns, and develop strategies through insights to attract new customers and retain existing ones.
  • Collaborate with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools.
  • Effectively communicate the analytics approach and data science lifecycle with leadership and business partners.
  • Advocate and educate on the value of data driven decision making focusing on the “how and why” of solving problems
  • Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers
  • Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products
  • Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources
  • Share your passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists

FAQs

What locations can the Data Scientist be based out of?

The Data Scientist can be based out of Montreal, QC; Trois-Rivières, QC; Burlington, ON; or Quincy, MA.

What qualifications are required for this position?

A Bachelor’s degree is required, though a Master's or PhD is preferred. A Bachelor's in Data Science, Computer Science, Engineering, Applied Mathematics, or Statistics with 5+ years of experience is required, or a graduate degree in a quantitative discipline with 2+ years of work experience.

What specific skills should a candidate possess?

Candidates should have proficiency in writing complex SQL queries, advanced hands-on experience with the Python data science stack, and expertise in machine learning to solve clustering, classification, regression, anomaly detection, simulation, and optimization problems.

Is experience with cloud platforms necessary?

Yes, experience with cloud platforms like Google Cloud, AWS, or Azure is required.

What kind of projects will the Data Scientist work on?

The Data Scientist will work on developing predictive modeling and machine learning solutions for complex business problems that create value, as well as executing exploratory data analysis and model development.

Are there opportunities for professional development and career growth?

Yes, Cogeco provides tools and support for career evolution and professional development as part of their employee benefits.

Is team collaboration important in this role?

Yes, collaboration with cross-functional teams is essential for identifying opportunities, developing analytics, and effectively communicating the data science lifecycle.

How does Cogeco support diversity and inclusion in the workplace?

Cogeco is committed to creating a diverse and inclusive environment where all colleagues can bring their best selves to work, enhancing innovation and growth.

What benefits does Cogeco offer to employees?

Cogeco offers competitive compensation packages, flexibility, discounted services, comprehensive benefits, and a fun work environment that prioritizes health and well-being.

What methodologies does the team utilize in their work?

The team utilizes Agile methodologies and values open collaboration with multiple stakeholders.

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Cogeco Inc.

Cogeco Inc. is a holding corporation which operates in the telecommunications and media sectors.

Telecommunications
Industry
1001-5000
Employees
1957
Founded Year

Mission & Purpose

Rooted in the communities it serves, Cogeco Inc. is a growing competitive force in the North American telecommunications and media sectors with a legacy of more than 65 years. Through its business units Cogeco Connexion and Breezeline, Cogeco Communications provides Internet, video and phone services to 1.6 million residential and business customers in Québec and Ontario in Canada as well as in thirteen states in the United States. Through Cogeco Media, Cogeco owns and operates 21 radio stations primarily in the province of Québec as well as a news agency. Cogeco's subordinate voting shares are listed on the Toronto Stock Exchange (TSX: CGO). The subordinate voting shares of Cogeco Communications Inc. are also listed on the Toronto Stock Exchange (TSX: CCA).