Senior Data Scientist

nCino, Inc.Lehi, UT

About The Position

nCino is seeking a Senior Data Scientist to join their Data & AI team. This role involves building intelligent automation and insights into nCino's products. The Senior Data Scientist will collaborate with cross-functional stakeholders to identify business challenges and opportunities, analyze complex datasets, extract insights, and develop, deploy, and monitor data-driven solutions. The position requires a passion for and advanced knowledge in data analysis, statistics, AI, and machine learning to drive data-driven products and services in the banking industry. The role also involves leveraging AI tools and techniques to enhance software development activities and evaluating AI/ML capabilities to strengthen product functionality.

Requirements

  • 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.

Nice To Haves

  • 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.

Responsibilities

  • Applies developed knowledge and understanding of building large-scale machine learning, predictive modeling, and advanced analytics tools.
  • 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.

Benefits

  • 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.
  • Compliance with applicable state and local laws governing nondiscrimination in employment.
  • Reasonable accommodations for persons with disabilities to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment.
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