Senior Data Scientist

Essential Functions:

• 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