Data Scientist

About The Company

TELUS Digital AI Data Solutions is a leading provider of innovative digital transformation services, specializing in leveraging artificial intelligence and data analytics to empower organizations across various industries. Committed to delivering cutting-edge solutions, TELUS Digital AI Data Solutions helps clients harness the power of data to optimize operations, enhance customer experiences, and drive strategic growth. Our team of dedicated professionals works at the forefront of technological advancements, ensuring that our clients stay ahead in an increasingly digital world. We foster a collaborative and inclusive environment that encourages continuous learning, innovation, and excellence in every project we undertake.

About The Role

We are seeking a highly skilled Data Scientist to join our team on a 6-month contract basis. This role is remote, offering flexibility and the opportunity to work with a dynamic team dedicated to transforming operational data into actionable insights. As a Data Scientist at TELUS Digital AI Data Solutions, you will embed within our service delivery and client teams to analyze large, complex datasets, primarily focusing on operational quality and annotation data. Your expertise will be instrumental in developing models that predict quality issues, detect anomalies, and support capacity planning, ultimately enabling our clients to make data-driven decisions. This position requires a hands-on approach, combining technical proficiency with strong communication skills to translate complex findings into clear, strategic recommendations for both technical and non-technical stakeholders.

Qualifications

The ideal candidate will possess a solid background in data science and quantitative analysis, with a minimum of four years of relevant experience. A strong foundation in applied statistics, including hypothesis testing, sampling, regression, and evaluation metrics such as precision, recall, F1 score, and reliability measures, is essential. Proficiency in Python, including libraries like pandas, scikit-learn, and NumPy, along with advanced SQL skills, is required. Experience working with large datasets stored in cloud data warehouses such as BigQuery or similar platforms is necessary. Candidates should demonstrate the ability to interpret ambiguous business problems, develop structured analyses, and communicate insights effectively to diverse audiences. A bachelor’s degree in Statistics, Computer Science, Mathematics, Economics, Engineering, or an equivalent field is preferred, complemented by practical experience in the field.

Responsibilities

• Analyze rater and annotation data to evaluate quality, consistency, and agreement, including metrics like inter-rater reliability, precision/recall, and temporal validation of task performance.
• Develop and validate statistical and machine learning models to predict quality issues, identify anomalies, and support workforce and capacity planning efforts.
• Design and conduct experiments such as A/B testing, sampling strategies, and audit frameworks to assess data and model quality for various client programs.
• Collaborate closely with delivery leads, program managers, and client stakeholders to define business questions, scope analyses, and deliver actionable insights.
• Work with large datasets using BigQuery and Google Cloud Platform, writing efficient, well-tested SQL and Python scripts for analysis and pipeline development.
• Communicate complex findings through clear visualizations, concise narratives, and executive summaries tailored for diverse audiences.
• Partner with data engineering and BI teams to operationalize recurring analyses and transition ad hoc work into automated, scalable reporting solutions.

Benefits

Joining TELUS Digital AI Data Solutions offers a range of benefits designed to support your professional growth and well-being. We provide competitive compensation packages, flexible remote work arrangements, and opportunities for continuous learning through training and development programs. Our collaborative culture fosters innovation and inclusivity, ensuring every team member’s voice is valued. Additionally, you will have access to cutting-edge tools and technologies, enabling you to stay at the forefront of data science advancements. We also prioritize work-life balance and offer support for personal and professional development to help you thrive in your role.

Equal Opportunity

TELUS Digital AI Data Solutions is an equal opportunity employer. We are committed to fostering an inclusive environment where all employees and applicants are treated with respect and fairness. We celebrate diversity and are dedicated to creating a workplace that reflects the communities we serve. We do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, religion, or any other protected characteristic. Our hiring decisions are based solely on qualifications, skills, and experience, ensuring equal opportunity for all candidates.