Senior Data Scientist Job Breckenridge area,Colorado USA,IT/Tech

Nelnet Business Services (NBS), a division of Nelnet, Inc., provides payment technology, education services, and learning management solutions to education and faith-based organizations, serving more than 1,300 higher education institutions, 11,500 K-12 schools, 3,500 churches, and millions of individual students, families, and supporters across the globe. Our culture of service enables us to form long-lasting and trusted partnerships, while our focus on creativity and innovative solutions empowers our customer communities to thrive.

As a Nelnet company, the perks at NBS go beyond our benefits package. You’re part of a community, invested in you as an individual and united by our mission to create opportunities for people where they live, learn and work.

The Senior Data Scientist is responsible for leading the development and implementation of machine learning models to solve complex business problems. This position works with large datasets, cleans and pre-processes data, and performs exploratory data analysis to understand the underlying patterns and trends. The Senior Data Scientist is also responsible for mentoring more junior Data Scientists, collaborating with cross-functional teams, and presenting findings and recommendations to senior leadership.

JOB RESPONSIBILITIES:

Conduct advanced analyses and statistical deep dives, with a focus on producing actionable recommendations and strategic guidance for decision makers.

Develop and deploy custom models and algorithms using data and machine learning libraries to solve complex business problems.

Mine, clean, process, transform and join data from a variety of sources including SQL servers, AWS environments, Azure, Snow Flake, Sales Force, internal systems, and flat files.

Identify, wrangle, scrape, and assemble new data sources from the web, data aggregators, and public sources.

Build rich, interactive dashboards and visualizations from the ground up using PowerBI.

Compile and present key findings and reports to all levels of the organization, including senior leadership.

Continuously seek out opportunities to add value through process automation and programmatic solutions to manual tasks and monitor and improve Data Science model performance.

Act as a subject matter expert within the data science field. Continuously learn, grow, and explore new emerging technologies. (Stay up to date with industry trends and best practices.

Problem-solve, generate new ideas, and provide creative solutions.

Mentor, model, act as a resource, and provide guidance for more junior analysts and team members.

Lead development, testing and implementation of machine-learning models and algorithms using data and machine learning to solve complex business problems.

Salary range for this role is: $63,000- $127,000

This position offers a hybrid work option. Nelnet values flexibility and understands the importance of work-life integration. Our hybrid work environment allows associates living within 30 miles of an office location to work remotely for part of the week, while also fostering collaboration and team connection through in-office presence three days per week.

Please note that we are unable to provide visa sponsorship for this position. To be considered, candidates must already be authorized to work in the United States without the need for current or future sponsorship.

EDUCATION :

PHD degree required in a Quantitative (heavy in mathematics, statistics or analysis, such as Applied Mathematics, Optimization, Psychology, or Economics) or Programming discipline.

EXPERIENCE :

2 years of experience in data analysis.

1 years of programming experience.

Significant experience working with large, complex data sets and common data science tools.

Experience working with database Python.

Experience designing, building, deploying, and validating machine-learning predictive models, ideally within a business framework.

Experience training multi model design to structure and train for unstructured data matching.

Experience training LLM models for specialized use cases

COMPETENCIES — SKILLS/KNOWLEDGE/ABILITIES:

Highly inquisitive and self-motivated.

Ability to map out solutions with a starting point and…