Job Title

DescriptionJob Title: Senior Analyst (Data Science)Location: Toronto, Ontario (Hybrid)Job Summary:You are an experienced analyst capable of leading large-scale data science projects and delivering valuable business insights through data-driven storytelling. This role requires partnering with cross-functional stakeholders to ensure success.Thomson Reuters is seeking a Senior Analyst to support product abuse monitoring initiatives for its CoCounsel Transactional and Litigation products. This position is part of the Product Analytics teama group of 25+ analysts from diverse backgrounds who regularly share ideas, best practices, and learnings.Reporting to the Lead Analyst, you will be responsible for developing and implementing advanced machine learning models tailored for fraud detection, enhancing the abuse dashboard across multiple products, and delivering innovative solutions that protect business interests.This position requires close collaboration with product managers, engineers, data architects, and other key stakeholders to understand the products and data requirements. Youll help guide product development through data-informed decision-making.Key ResponsibilitiesLead the design, development, and implementation of machine learning models focused on fraud detection.Propose enhancements to improve fraud models and monitoring mechanisms.Enhance and maintain abuse dashboards across various products.Collaborate cross-functionally with product, engineering, and data teams to align data strategies with business goals.Translate complex data insights into actionable recommendations for product and business stakeholders.Promote a culture of data-informed decision-making across the organization.Key Skills & QualificationsBachelors or Masters degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Physical/Biological Sciences, GIS).35 years of experience in data cleaning, analysis, programming, and reporting insights to stakeholders.Strong understanding of machine learning (ML), natural language processing (NLP), and statistical methodologies.Experience with data platforms such as Snowflake, AWS, or similar environments.Proficiency in one or more programming languages (e.g., Python, R, Java).Hands-on experience with Big Data tools such as Spark and Hadoop.Excellent planning, time management, and organizational abilities.Self-starter and team player, capable of working independently and collaboratively.Strong communication skills with the ability to bridge technical and non-technical audiences, turning complex data into clear insights.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.The pay rate that the employer in good faith reasonably expects to pay for this position is $40-50hr CADOur optional benefits include medical, dental, vision and retirement benefits.Applications will be accepted on an ongoing basis.Tundra Technical Solutions (the operator of this Talent Community) is a global leader of contingent talent services. Our success and our clients success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.