Senior Data Scientist, Machine Learning

Senior Data Scientist, Machine Learning

At FNBO, our employees are the heart of our story—and we're committed to their success! Please see below the details of this career opportunity and how it fits into our organization's success.

The Senior Data Scientist, Machine Learning is responsible for the development, implementation, and operationalization of machine learning (ML) and artificial intelligence (AI) models to drive business impact. This role involves working with a team of highly quantitative data scientists and working with a cross-functional team of engineers, analysts, and business users to deliver innovative solutions, optimizing decision-making processes, and enabling automation at scale. The role will ensure that models are effectively managed in accordance with the model risk management governance and integrated into business workflows and deliver measurable value.

About This Role:

Direct Scope and Accountabilities

Model Development and Deployment:

• Oversee the end-to-end lifecycle of ML/AI models, from ideation and development to deployment and monitoring, including but not limited to loss prediction, fraud detection, marketing optimization and customer feedback mining.
• Ensure the scalability, reliability, and robustness of deployed models.
• Establish best practices for model development, including feature engineering, hyperparameter tuning, and model evaluation.
• Work with key stakeholders (e.g., FNIT, business partners) to implement the model and drive business value at a timely manner.

Model Performance Monitoring:

• Define KPIs to measure the model performance and impacts.
• Implement monitoring systems to ensure model accuracy, relevance, and efficiency over time.
• Continuously refine and optimize models based on feedback and performance metrics.

Model Management and Governance:

• Ensure the model development and monitoring practices in compliance with the FNNI model risk management team.
• Effective communicate modeling approaches and results to external regulators and proactively address their suggestions and comments.
• Monitor and mitigate risks associated with model bias, drift, and interpretability.
• Maintain transparency and accountability in the deployment of ML/AI solutions.

Innovation:

• Evaluate and implement cutting-edge tools, frameworks, and platforms for ML/AI development and deployment.
• Stay updated on emerging trends, technologies, and best practices in data science.
• Drive experimentation and pilot programs to test innovative approaches and solutions.

Collaboration and Stakeholder Engagement:

• Partner with business units to understand their challenges and deliver tailored modeling solutions.
• Effectively deliver business values to key stakeholders through innovative ML/AI models.
• Effectively communicate complex technical concepts to non-technical stakeholders in a clear and actionable manner.
• Build and maintain strategic relationships with external partners, vendors, and research institutions.

Key Performance Indicators (KPIs):

• Model Performance: Accuracy, precision, recall, and other metrics for deployed models.
• Business Impact: Measurable improvements in key business metrics influenced by models.
• Operational Efficiency: Reduction in manual processes and increased automation.
• Model governance: Compliance with ethical standards and regulatory requirements.

The Ideal Candidate for This Role:

Qualifications

Education:

• Master's degree or higher in Data Science, Computer Science, Statistics, Mathematics, AI, or a related field.

Experience:

• Minimum of 3 years of experience in data science or related fields.
• Proven track record of developing and deploying ML/AI models that deliver business impact.
• Experience managing cross-functional teams and complex projects.
• Proven experience to effective communicate modeling approaches and results to external regulators and proactively address their suggestions and comments.

Skills and Competencies:

• Expertise in machine learning, deep learning, and statistical modeling techniques.
• Proficiency in programming languages such as Python, R, and SQL, as well as ML/AI frameworks like Claude.
• Strong knowledge of data visualization tools (e.g., Power BI) and cloud platforms (e.g., AWS, Snowflake).
• Exceptional leadership, communication, and stakeholder management skills.
• Analytical and strategic thinking abilities with a focus on measurable outcomes.

Candidates must possess unrestricted work authorization and not require future sponsorship.

Compensation:

Compensation range (base pay): $89,828.00-$148,215.00

This role may have a specific starting pay within this range.

Final compensation offer to candidate may vary from posted hiring range based upon work experience, education, and/or skill level.

Work Environment:

It is anticipated that the incumbent in this role will work in a hybrid capacity, balancing in-person collaboration three (3) days a week with remote flexibility two (2) days a week. As part of our team, you'll experience the energy and relationship-building of face-to-face collaboration while still enjoying the flexibility of remote workdays. We provide the tools and technology to ensure seamless transitions between work environments, supporting your productivity wherever you are. Please note that work location is subject to change based on business needs.

Benefits Overview:

We offer a variety of benefits designed to keep you and your family physically and financially healthy. Not only do we offer a competitive salary and work-life balance, we offer benefits to match your needs:

• Medical, Dental, Vision Insurance
• 401k, With Matching Contributions
• Time Off Programs
• Health Savings Account (HSA)/Dependent Care
• Employee Banking
• Growth Opportunities
• Tuition Assistance
• Short-Term/Long-Term Disability Insurance

Equal Opportunity & Belonging:

FNBO believes that the quality of our employee experience is at the heart of our customer experience. One key pillar of our intended employee experience is Belonging. Belonging means we are committed to fostering a workplace culture where employees of all backgrounds feel valued, recognized, and empowered to be their authentic selves—no matter their role or where they are in their journey.

FNBO is an equal opportunity employer for all employees and applicants and makes employment decisions without regard to status or identity.