Data Scientist jobs in Canada

ARGO is a leading provider of software and analytics solutions for both the financial services and healthcare industries. ARGO transforms business processes for financial service providers and healthcare organizations using proven business models and software innovation informed by real customer challenges, breakthrough technology, and rich analytics.

As a Data Scientist III, you will lead research and development of complex predictive models and algorithms using advanced statistical and machine learning techniques. In addition, you will be required to have experience in computer vision and deep learning algorithms to analyze and interpret data from images. You will work closely with cross-functional teams, including data engineering, product, and business stakeholders to drive innovation in the data science space.

1. Model Development and Implementation (30%)
2. Research and Development (20%)
3. Project Design and Collaboration (15%)
4. Metrics Definition and Assessment (10%)
5. Stakeholder Communication (10%)
6. Mentorship and Team Guidance (10%)
7. Code Development and Maintenance (5%)
8. Continuous Learning and Development (5%)

At ARGO, a Data Scientist III plays a pivotal role in driving innovation and delivering value through advanced data science techniques. By developing and deploying cutting-edge predictive models and algorithms, including those leveraging computer vision and deep learning, the Data Scientist III transforms complex data into actionable insights. This role not only enhances ARGO’s ability to address critical challenges in financial and healthcare sectors but also contributes to the company's mission of leveraging technology and analytics to provide superior solutions. Through effective collaboration with cross-functional teams and mentorship of junior staff, the Data Scientist III ensures that ARGO remains at the forefront of technological advancements and data-driven decision-making.

ARGO’s mission-driven software company that provides financial services and healthcare customers with the best business practices through technology and analytics. ARGO’s solutions require both deep business line subject matter expertise (SME) talent and concentrated technology SME talent to work across the organization on our financial products including Fraud, Teller Payment, Lending, Omni-channel delivery solutions and/or our healthcare solutions, behavioral health, utilization review, patient identity matching/EMR, and patient financing solutions.

Job duties and responsibilities include the following. Other duties may be assigned as needed.

1. Develop, evaluate, and implement predictive models and algorithms to analyze and interpret data from a variety of sources, including images.
2. Conduct research and development in advanced statistical and machine learning techniques, including computer vision and deep learning algorithms.
3. Participate in project design and assist data engineers and application developers in creating and deploying production-ready models.
4. Define and collect metrics to assess the effectiveness and accuracy of models both during analysis and in production.
5. Lead and collaborate with cross-functional teams to identify opportunities for data-driven solutions.
6. Analyze and interpret data to provide insights to stakeholders, including senior executives.
7. Provide guidance and mentorship to junior team members.
8. Develop and maintain code for data processing and model development.
9. Communicate findings and recommendations to technical and non-technical stakeholders.
10. Keep up to date with the latest advancements in data science and apply them to business problems.

1. Master's or PhD degree in Data Science, Computer Science, or a related quantitative field or equivalent.
2. At least 5 years of post-academic and/or recent industry experience in model development and statistical analysis of large datasets.

1. Proven track record of developing and deploying advanced predictive models and algorithms to solve real-world problems.
2. Experience with computer vision and deep learning algorithms.
3. Strong programming proficiency in Python or R for data manipulation, modeling, and visualization.
4. Experience with SQL and relational databases.
5. Strong problem-solving and analytical skills.
6. Strong leadership and mentorship skills.
7. Experience in managing and leading teams of data scientists.

1. Experience in the financial risk and fraud field.

A Data Scientist III aligns with the Product component of the ARGO Value Chain (CRP3) by harnessing data to refine and enhance product offerings. Through sophisticated analytics and machine learning, they derive insights that inform product development, optimize features, and predict user needs. Their work ensures that product decisions are based on robust data, leading to more effective solutions and superior user experiences. By continually analyzing performance metrics and user feedback, they drive iterative improvements and innovations, ensuring that the product remains competitive and aligned with market demands. This data-driven approach helps in delivering high-quality products that meet both customer expectations and business objectives.

The position is based in our Richardson, TX office. Daily physical presence in the office is required for interaction with co-workers, attending meetings, and for collaboration on projects.

While performing the duties of this job, the employee is regularly required to stand, walk, sit stationary, constantly operate computer keyboarding and office equipment, talk or hear, to communicate with employees, and/or customers (must be able to exchange accurate information in various situations). The employee is required to regularly communicate with other employees, confer or coordinate with other employees. The employee is required to evaluate, edit, revise, update, and provide solutions to critical data development and solutions.

Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time.

Applicants for U.S. or Canadian based positions with ARGO must be legally authorized to work in the United States or Canada. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available at this time for ARGO positions. Pre-employment background screening will be conducted.