Senior Data Scientist

nCino, Inc.

Lehi (UT)

On-site

USD 107,900 - 183,400

Full time

14 days+

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Job summary

nCino, Inc. seeks a Senior Data Scientist in Lehi, Utah. This role involves building automation and insights into banking products, requiring 5+ years of experience in Data Science.

The ideal candidate will possess strong programming skills, experience with AI algorithms, and an ability to develop and monitor models. We offer an inclusive work environment, embracing diversity while providing equal employment opportunities to all.

Qualifications

  • 5+ years of related experience in Data Science or a related field.
  • Demonstrated mastery of programming skills.
  • Experience deploying and monitoring models in production.

Responsibilities

  • Build intelligent automation and insights into our products.
  • Collaborate with cross-functional stakeholders for data-driven solutions.
  • Develop, deploy, and monitor complex machine learning models.

Skills

Python or R
Machine Learning Algorithms
Data Visualization Tools
SQL or NoSQL
Strong Problem-Solving Skills

Education

Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a related field

Tools

DOMO
AWS Quicksight
Tableau
Databricks
MLflow

Job description

Senior Data Scientist

nCino offers exciting career opportunities for individuals who want to join the worldwide leader in cloud banking. Are you a highly motivated problem solver looking for a challenge? Do you want to make a significant impact on complex banking problems and be a driving force in the AI revolution in banking? Then look no further! Our Data & AI team is seeking a Senior Data Scientist to build intelligent automation and insights into our products. As a Senior Data Scientist, you will collaborate with cross‑functional stakeholders to identify high‑impact business challenges and opportunities, analyze complex datasets, extract meaningful insights, and develop/deploy/monitor data‑driven solutions. Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be instrumental in driving data‑driven products and services across the banking industry.

Responsibilities
  • Applies developed knowledge and understanding of building large‑scale machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data‑related programming languages
  • Proficient creating machine learning, predictive modeling, and advanced analytics tools tailored to solve business problems
  • Experience in large data sets and algorithms
  • Considers and analyzes information from multiple data sources, including experience and input from others when determining the best approach for routine and non‑routine problems
  • Ability to prototype ideas and demonstrate pros and cons in a clear and concise manner
  • Understanding of data science priorities and how each contributes to the success of nCino
  • Demonstrates ability to acquire domain knowledge of the business and effectively applies this expertise to inform model development and problem‑solving approaches
  • Extensive experience in developing, deploying, and monitoring complex machine learning models
  • Lead and guide teams in implementing programming best practices and adopting emerging technologies
  • Leverage AI tools and techniques to enhance software development activities, including code generation, testing, debugging, and optimization
  • Apply AI insights to identify patterns, automate repetitive tasks, and improve overall development efficiency and product quality
  • Evaluate and integrate AI/ML capabilities where appropriate to strengthen product functionality and user experience
  • Maintain awareness of emerging AI trends and best practices to inform continuous learning and innovation
Qualifications
Required
  • Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a related field with 5+ years of related experience or combination of experience and education
  • Demonstrated mastery of programming skills in Python or R
  • Experience with data visualization tools (DOMO, AWS Quicksight, Tableau, etc.)
  • Demonstrated mastery of machine learning algorithms and techniques
  • Strong problem‑solving skills and ability to work independently and collaboratively
  • Strong experience with SQL or NoSQL and database management systems
  • Experience deploying and monitoring models in production
  • Strong understanding of the business domain
  • Ability to translate business questions into analytics projects and deliver actionable insights
  • Flexibility and the ability to be productive in a fast‑paced, team environment
  • Excellent verbal and written communication skills for technical and non‑technical audiences
  • Familiarity with production code practices, including unit testing, object‑oriented programming (OOP), error handling, logging, contract testing, and version control
Desired
  • Advanced degree in Data Science, Statistics, Mathematics, Computer Science or a related field
  • Experience developing and deploying models using Databricks and MLflow
  • Experience with AWS tools and services, including Lambda, SageMaker, S3, Athena, Quicksight
  • Experience with Agile software development
Compensation

Base salary range: $107,900.00 - $183,400.00. This range reflects the minimum and maximum of the pay range for this job posting and is used to determine new hire rates/salaries, taking into consideration multiple factors including knowledge, skills, and experience.

Equal Opportunity Employer

nCino provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, genetics or other protected groups. In addition to federal law requirements, nCino complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. nCino is committed to the full inclusion of all qualified individuals. As part of this commitment, nCino will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us at recruiting@ncino.com.

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