Senior Data Scientist II

Summary

We are seeking a highly accomplished and experienced Senior Data Scientist II to lead the technical development and implementation of complex machine learning (ML) solutions. This individual will be a key contributor, driving innovation and shaping the future of our data science initiatives. The ideal candidate will possess exceptional technical skills, strong leadership abilities, and a deep understanding of business operations.

Key Responsibilities

• Lead the entire lifecycle of data science projects, from initial conception and design to deployment and maintenance in production environments.
• Develop and implement advanced ML architectures for complex models, ensuring scalability, performance, and robustness.
• Collaborate with business stakeholders to gain a thorough understanding of operational processes, identify key challenges, and translate business needs into data-driven solutions.
• Guide and direct interaction with product teams to influence product design, ensuring alignment between business objectives and technical feasibility.
• Employ a production-first approach, conducting thorough feasibility studies and prototyping to evaluate project viability, considering performance, time, quality, and cost.
• Introduce and champion innovative ML techniques, processes, and products within the organization.
• Mentor and guide junior and senior data scientists, fostering a collaborative and high-performing team environment.
• Proactively identify and address potential challenges and risks throughout the project lifecycle.
• Stay abreast of the latest advancements in the field of machine learning and proactively identify opportunities for innovation and improvement.
• Contribute to the development and refinement of data science best practices and methodologies.

Critical Qualifications

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Relevant experience may be considered in lieu of a degree.
• 8+ years of experience in a data science or analytics role, with a significant portion dedicated to leading complex projects.
• Advanced cloud certification (e.g., AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert, Google Cloud Professional Data Engineer – specify preferred certifications).
• Advanced knowledge of ML models: NLP, Gen AI and deep learning frameworks (e.g., TensorFlow, PyTorch, Keras – specify preferred frameworks).
• Demonstrated ability to design and implement complex ML architectures.
• Advanced understanding of business operations, needs, and pain points, with the ability to translate business requirements into technical specifications.
• Exceptional proficiency in developing, training, and deploying ML models in production environments.
• Proficiency in at least one scripting language (Python preferred).
• Strong experience with data visualization tools (e.g., Tableau, Power BI).
• Excellent communication, leadership, and interpersonal skills.
• Proven ability to lead and motivate teams to achieve ambitious goals.
• Demonstrated ability to manage multiple projects simultaneously and meet deadlines.
• Strong problem-solving skills and a proactive approach to identifying and resolving challenges.

Preferred Qualifications

• Master’s degree or PhD in a relevant field.
• Experience with specific industry-relevant datasets or technologies.
• Publication record in data science or related fields.
• Contributions to open-source projects or personal data science projects (portfolio encouraged).
• Experience with Servicenow.

Adequate knowledge of French is required for positions in Quebec.

Additional Information

Position Type: Management

Job Status: Regular – Full Time

Work arrangements: For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

Benefits: As soon as you join us, you’ll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. In addition, Bell team members enjoy a 35% discount on our services and exclusive offers from our partners.

Bell is committed to fostering an inclusive and accessible workplace where all team members feel valued, respected, supported, and belong.

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