Applied Data Scientist

Toronto - Canada

Monthly Salary: Not Disclosed

Posted on: 14 hours ago

Vacancies: 1 Vacancy

Job Summary

Caseware is one of Canadas original Fintech companies having led the global audit and accounting software industry for over 30 years with more than 500000 users across 130 countries and available in 16 different languages. While you might not have heard of us (yet) over 36000 accounting and audit professionals list Caseware as a skill on their LinkedIn profiles!

Caseware International Inc. is hiring an Applied Data Scientist to help deliver AI-powered data-driven capabilities across our cloud platform.

This role is embedded within the Product organization working in close partnership with Product Management Engineering Design and the broader Data & Analytics function. You will focus on applying machine learning and applied AI to real customer workflowsbuilding production-grade models and AI-enabled capabilities that materially improve efficiency quality and professional judgment for accounting and audit professionals.

The emphasis is on applied trustworthy AI over theoretical research. You will work with complex real-world data and collaborate in a product-led environment where AI and data science are tightly integrated into how products are conceived built governed and scaled.

You will be responsible for applying data science and machine learning to high-impact customer problems across Casewares cloud platform. This includes working with large heterogeneous datasets generated by customer workflows documents configurations and system interactions and transforming them into trusted explainable and production-ready AI-powered capabilities.

You will partner closely with:

Product Managers and Subject Matter Domain Experts to frame problems define success metrics and prioritize opportunities

Engineering to operationalize models and integrate them into scalable secure systems

Design to ensure insights and AI-powered features are understandable usable and trusted by professionals

In this role you will contribute to establishing strong repeatable patterns and standards for how applied data science and AI are practiced within a modern product-led organization.

This is a New Role

This is a Full-time permanent position

Location: This is a hybrid role requiring the successful candidate to work 3 days a week in our Toronto office located at 351 King St E Suite 1100 Toronto ON.

What you will be doing:

Collaborate with cross-functional product teams to identify scope and solve customer problems using data science and machine learning.
Design develop and deploy statistical models and ML solutions that power customer-facing features and internal product intelligence.
Work with large-scale real-world datasets (including structured semi-structured and workflow-generated data) to uncover patterns and opportunities for product improvement.
Build end-to-end data science workflows including data exploration feature engineering model training evaluation deployment and ongoing monitoring.
Partner with Engineering and Platform teams to ensure models are reliable performant explainable scalable cost-efficient at product scale and production-ready.
Define and measure success using clear metrics experimentation and post-launch analysis.
Contribute to responsible AI practices including transparency bias awareness data quality and model governance.
Communicate insights trade-offs and recommendations clearly to both technical and non-technical stakeholders.
Help shape best practices for applied data science within a modern product-led organization.

Key Interfaces / Stakeholders

Product Management (Platform AI Domain Solutions)
Software Engineering (Backend Data Platform)
Design & Research
Analytics & Experimentation
Architecture and Platform Leadership

Decision-Making Authority

Technical ownership of data science approaches for assigned product initiatives
Recommendation authority on modeling techniques evaluation methods and data usage
Influence on product prioritization through insight generation and impact analysis
Input into tooling and platform decisions related to applied data science

What you will bring:

Bachelors or Masters degree in Data Science Computer Science Statistics Mathematics Engineering or a related field.
3 years of experience in an applied data science or machine learning role within a product or technology-driven organization.
Strong proficiency in Python and common data science libraries (e.g. pandas NumPy scikit-learn).
Experience working with SQL and modern data warehouses or data lake architectures.
Solid grounding in statistics machine learning methods and model evaluation.
Experience deploying monitoring or supporting models in production environments.
Comfort working with ambiguous problem spaces and imperfect data.
Strong communication skills and ability to collaborate across disciplines.

Salary Range:

The annual basesalary for this position isbetween$144000 CADand$157200 CADper year.

This role is also eligible fordiscretionarybonus and/or commissionas well asother pay within the listed range will bedeterminedbased on factors such as transferable skills relevant experience market conditions and primary work location. The posted range is subject to change and may be updated periodically.

Whats in it for you:

Innovation is at our core. We work with cutting-edge technology in accounting and financial reporting constantly pushing the boundaries to create impactful software solutions.

We are committed to a collaborative culture where your ideas are valued and knowledge sharing is encouraged within a supportive inclusive team.

Work-life balance is important to us. We offer flexible work options remote opportunities and generous time-off policies to ensure a healthy work-life balance.

We offer competitive compensation including a competitive salary and comprehensive benefits such as health insurance and retirement plans.

We are driven by impactful work. Your contributions directly affect how our clients manage financial processes and drive their success.

Recognition and rewards matter to us. We celebrate hard work through recognition programs performance bonuses and opportunities for career growth.

We embrace global opportunities. Work on international projects and collaborate with a diverse global team.

About Caseware:

Casewares cutting-edge software products are meticulously designed for accounting firms corporations and teams are continually collaborating innovating and building upon our existing suite of products. With a customer-focused mindset we are building technology that is shaping what the future of audits financial reporting and financial data analytics will look like.

With a recent strategic investment from Hg Capital in 2020 Caseware is now in its next major growth phase as we double down on the people and products that have made Caseware so successful to date.

One of Casewares core values is Many Voices One Team and with that in mind were dedicated to building teams as diverse as our customers in an equitable and inclusive way. We welcome and encourage candidates of all backgrounds to apply. Should you require accommodations or have any questions at any point during the application or interview process please e-mail our People Operations team at emailprotected.

AI Usage:

The recruitment process may use AI assisted tools but not for candidate screening or assessment. All final hiring decisions are made by humans to ensure fairness transparency and oversight.

Background Check:

Any candidates successful in obtaining an offer for a position will need to successfully complete a background check through which typically includes an Identity Verification and Criminal Record Check. Executives and Senior Managers will undergo a Soft Credit Check as well. Candidates residingin the Netherlands and Germany are excluded from undergoing background checks via

Security and Fraud:

Caseware takes the security of candidates seriously. All legitimate communication from us will come from email addresses ending in @ and our open positions are always listed on reputable job boards and on our website We will NEVER ask for payment or financial information from you. If you receive an unsolicited job offer proceed with extreme caution.

Required Experience: