TD digital analytics expert optimizing banking customer journeys through web and mobile data. Delivering dashboards, insights, and recommendations to improve conversion, engagement, and digital performance.
About the role
- Principal Data Scientist at Autodesk leveraging data science for product engineering and analytics insights. Responsible for building data pipelines and optimizing data-driven decision-making processes.
Responsibilities
- Drive business and product planning through insights on product usage, adoption, feature utilization, performance, and reliability.
- Design and implement robust data models and schemas aligned to product and platform needs.
- Audit existing product, platform, and data systems for completeness and accuracy, and strengthen instrumentation to enable reliable, decision-ready analytics.
- Build and optimize scalable data pipelines and architectures, including cloud-based ETL processes and large-scale data structures for analytics and machine learning.
- Develop processes to ingest, transform, and distribute data into internal systems and applications.
- Partner with engineering and platform teams to identify and resolve data quality issues.
- Create dashboards, analyses, and experimentation frameworks that translate raw data into clear recommendations.
- Provide rigorous ad hoc analysis to support strategic and operational decisions.
- Communicate findings clearly to cross-functional stakeholders and senior leaders.
Requirements
- Bachelor’s or advanced degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or related field
- Significant experience in data science, advanced analytics, or business analytics roles
- Strong expertise in SQL and working with complex, large-scale datasets across multiple sources
- Proficiency with analytics and BI tools such as Looker, Tableau, Splunk, Mixpanel, or similar platforms
- Experience with Python or R for statistical analysis and data processing
- Hands-on experience with big data and cloud-based data environments such as AWS, Redshift, Snowflake, BigQuery, Spark, or similar technologies
- Strong systems thinking / Experience building analytics foundations in complex environments
- Ability to collect, structure, analyze, and interpret large volumes of data with accuracy and attention to detail
- Strong written and verbal communication skills, with the ability to present complex ideas in a clear, actionable way.
- Experience in data mining, large-scale analytics, or machine learning in production environments (Preferred)
- Experience applying AI or advanced analytics to 3D data, graphics systems, simulation outputs, or complex design and engineering workflows (Preferred)
- Experience supporting real-time or interactive applications with data-driven systems (Preferred)
Benefits
- Annual cash bonuses
- Commissions for sales roles
- Stock grants
- Comprehensive benefits package
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Staff Data Scientist embedded across growth, product, AI, or partnerships at Jerry.ai, an AI - powered platform managing car and home ownership. Defining metrics, running experiments, and driving data - informed business decisions.
Technical Lead governing AI data readiness and API gateways at Coupa, whose platform helps businesses optimize total spend. Defining safeguards for GenAI applications, data quality, compliance, and observability.
Senior Principal Data Scientist building predictive models and evaluation systems for Autodesk’s agentic AI design platform. Defining telemetry, experimentation, and product intelligence for complex user workflows.
Senior Data Scientist evaluating football ML models for SumerSports’ NFL intelligence platform. Building rigorous testing, comparison, and experimentation tooling for production model quality.
Data Scientist developing fraud detection solutions for Desjardins, North America's largest cooperative financial group. Applying data science expertise to protect financial products and services from fraud.
Data Scientist II applying SQL, Python, machine learning, and AI to Life & Health insurance products at TD Bank. Developing strategies and insights for better decisions.
Senior Data Scientist developing AI, analytics, and automation solutions for Desjardins, North America’s largest cooperative financial group. Building Finance prototypes, models, and AI agents for production.
Lead Analytics Consultant shaping Adobe Analytics and CJA strategies for Bounteous, a global AI services firm. Advising clients, designing implementations, and translating data into executive action.
Senior Data Scientist developing machine learning, GenAI agents, and analytics solutions for Sun Life’s Canadian financial - services business units. Leading technical delivery, stakeholder recommendations, and mentoring.