Data Scientist

*If you are a current FIB employee, please apply through the Career Worklet in the Employee Portal

This position is located at our Billings, MT Downtown branch.

What's Important to You

We know your career is just one aspect of a meaningful, complex, and demanding life. That's why we designed our compensation and benefits package to provide employees and their families with as much choice as possible.
Generous Paid Time Off (PTO) in addition to paid federal holidays.
Student debt employer repayment program.
401(k) retirement plan with a 6% match.
The health and happiness of the places we call home matter to us. Learn a little more about what we do for the communities we serve, and why we want YOU to be a part of it.
We encourage you to apply. Reach for what you want and tell us why your work ethic and willingness to learn make you a natural fit for #TeamFirstInterstate.

SUMMARY
The Data Scientist plays a pivotal role in planning, executing, and delivering machine learning-based projects. The bulk of the work will be in machine learning (ML) modelling, management and problem analysis, data exploration and preparation, data collection and integration, operationalization. This position will support various members of analytics leadership in developing and executing long term data driven strategies. The Data Scientist will be a key interface between the Decision Support and Analytics team, their business partners, and various other departments, such as IT and Data Management.

ESSENTIAL DUTIES AND RESPONSIBILITIES Guides and inspires the organization about the business potential and strategy of artificial intelligence.
Identifies data-driven/ML business opportunities.
Collaborates across the business to understand IT and business constraints.
Prioritizes, scopes, and manages data science projects and the corresponding key performance indicators (KPIs) for success.
Applies statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), Principal Components Analysis (PCA) Machine Learning.
Generates hypotheses about the underlying mechanics of the business process.
Tests hypotheses using various quantitative methods.
Displays drive and curiosity to understand the business process to its core.
Networks with domain experts to better understand the business mechanics that generated the data.
Applies various ML and advanced analytics techniques to perform classification or prediction tasks.
Integrates domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, etc.
Tests ML models, such as cross-validation, A/B testing, bias, and fairness.
Collaborates with Data Engineers and IT stake olders to evaluate and implement ML deployment options.
Monitors execution and health of production ML models.
Establishes best practices around ML production infrastructure.
Trains other business and IT staff on basic data science principles and techniques.
Trains peers on specialist data science topics.
Networks with internal and external partners.
Upskills through conferences, publications, courses, local academia, and meetups.
Promotes collaboration with other teams within the organization.
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

KNOWLEDGE, SKILLS AND ABILITIES Extensive knowledge of object-oriented programming (OOP) such as Python, C# or Java/JavaScript.
Extensive knowledge of Structured Query Language (SQL).
Data Visualization platforms such as Tableau or Power BI.
Knowledge of version control systems such as GIT.
Be self-driven, curious, and creative.
Demonstrated track record of working with diverse, cross-functional teams in a dynamic business environment.
Confident, energetic self-starter, with strong moderation and communication skills.
Ability to exhibit superior presentation skills, including storytelling and other techniques to guide and inspire.
Ability to effectively communicate results and recommendations to stakeholders and executive leadership.
EDUCATION AND/OR EXPERIENCE Bachelor's Degree in Math, Data Science, Economics or related field required
Master's Degree preferred
1-3 years experience as a data science in an advanced analytics role with relevant project work in a formal education setting required
PHYSICAL DEMANDS AND WORKING ENVIRONMENT
The physical demands and work environment are representative of those that must be met or encountered to successfully perform the essential functions of the job. In compliance with the Americans with Disabilities Act, the company provides reasonable accommodation to qualified individuals with disabilities and encourages both prospective and current employees to discuss potential accommodations with the employer. Dexterity of hands/fingers to operate computer keyboard and mouse - Frequently
Sitting - Frequently
Standing - Occasionally
Noise Level - Moderate
Typical Work hours - M-F (8-5)
Regular and Predictable Attendance - Required
• If you are a current FIB employee, please apply through the Career Worklet in the Employee Portal