Company Description

Founded in 1957, Ent is a member-owned credit union with a passion for people, not for profit. With $8+ billion in assets and over 420,000 owner-members across more than forty convenient Front Range locations, Ent is Colorado's largest credit union. In addition to a reputation as a leader in philanthropy and financial literacy, Ent has been nationally recognized by Forbes as the overall #1 credit union in Colorado for four years running. We know that growth, accolades and reputation are a result of the entire Ent family of employees working together to serve our members. To that end, we are equally proud to be recognized as an "employer of choice" and to have received nominations and awards as a "Best Place to Work" in both Southern Colorado and the Denver metro area. Ent's numerous Employee Engagement Groups (EEGs) offer micro-communities of like-minded employees and a chance to express your personal passions through volunteerism and philanthropy while our best-in-class benefits package and competitive salaries reward you for a job well done.

Job Description

Ent is seeking an experienced, self-directed, Data Scientist to support the needs of our fast-growing business. This is a unique opportunity to think big, insist on the highest standards, and invent, simplify, and scale new methodologies and data science solutions.

Do you have expertise in a range of data science methodologies and have a track record of developing machine learning (ML) models to answer business questions at scale? Do you live and breathe algorithms that lead to predictive and prescriptive analytics? In this role, you will apply scientific principles to business problems analyzing complex data sets to make rapid decisions for business leaders. You will create visualizations and develop models to drive data insights and scale algorithms. In partnership with engineers, analysts, and business owners, you will work backwards from business objectives to drive scalable solutions with statistical and machine learning models. You will be a technical leader influencing the analyses and best practices across multiple teams. Above all, you should be passionate about working with data to answer business questions and drive growth.

Qualifications

• Build statistical and ML models to evaluate the historical performance and define predictive and prescriptive solutions including forecasts for sales, resource management, revenue, utilization, and other customer indicators.
• Conduct all phases of research projects, including defining research questions, working with multiple data sources, building, and evaluating competing models, and interpreting and communicating the results.
• Analyze patterns, trends, and synthesize large data sets with recommendations for business leaders.
• Identify needed data for projects and understand underlying structure (distribution, variable independence, outliers, etc.), and develop process to help improve data quality.
• Recommend, develop, and manage end-to-end machine learning/statistical processes and tools.
• Other duties as required.

Minimum formal education required for this position:

Bachelor’s degree with an emphasis on coursework of a quantitative nature i.e. Business Analytics. Statistics. Information Systems. Or a related area.

Each year of relevant work experience may be exchanged for a year in a relevant degree program or vice versa. For example, a requirement of “Knowledge Consistent with a Bachelor’s Degree in Accounting and 2+ years’ of accounting experience” could be substituted for a High School Diploma and 6 years of relevant accounting work experience or a Master’s Degree in Accounting and 0 years of work experience.

Minimum work experience:

8+ years’ experience in predictive modeling, data science and analysis to include at least 3+ years’ of experience with math/stats software (R, Matlab, SAS, Stata) or other domain specific software.

Key Attitudes / Characteristics / Specialized Knowledge / Skills for this position:

• Experience with programming languages including Python.
• Experience in a machine learning or data scientist role with a track record of building models.
• Advanced experience with SQL and other scripting languages to manipulate large data sets with production level code.
• Ability to manage competing priorities in an ambiguous environment.
• Experience with cloud-based technologies such as Azure, AWS, GCP, etc.
• Experience using ML libraries, such as scikit-learn, pandas, numpy, etc.
• Experience with business intelligence and data visualization and reporting tools (e.g. Power BI, Tableau, etc.).
• Experience forecasting in sales and/or professional services.
• Experience with data engineering concepts, workflows, and tools such as Airflow, Azure Data Factory, Data Bricks, etc.
• Experience working with large datasets and familiarity with big data tools such as Spark and Hadoop.
• Experience writing and presenting complex technical concepts to broad audiences.
• Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
• Proficient with the Microsoft Office Suite of products (Word/Excel/Outlook).

Certifications required:

• None required.

Environmental, physical and psychological requirements:

• Standing - Occasionally
• Walking - Occasionally
• Sitting - Frequently
• Lifting - Rarely (40 Lbs)
• Carrying - Rarely
• Pushing - Rarely
• Pulling - Rarely
• Balancing - Rarely
• Stooping - Rarely
• Kneeling - Rarely
• Crouching - Rarely
• Crawling - Rarely
• Reaching - Occasionally
• Handling - Occasionally
• Grasping - Occasionally
• Feeling - Occasionally
• Talking - Frequently
• Hearing - Frequently
• Repetitive Motions - Frequently
• Eye/Hand/Foot Coordination - Occasionally
• Noises louder than normal speaking volume - Occasionally
• Temperature Changes - Rarely
• Atmospheric Conditions - Rarely

Additional information

Typical Pay Range: $99,112.00 to $130,083.20 (This position is eligible for an annual corporate bonus based upon performance) Grade I17

For information on our benefits, please visit: Benefits Summary Sheet - 2021

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)