Senior Data Scientist
About the role
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 join us in building intelligent automation and insights into our products.
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 apply this expertise to inform model development and problem-solving approaches
- 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
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
Qualifications
- 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
Benefits
The pay range for this role is based on relative market data and alignment with our compensation philosophy. The range displayed reflects the minimum and maximum of the pay range for each job posting, which is used to determine new hire rates/salaries and takes into consideration multiple factors including but not limited to knowledge, skills, abilities, proficiencies, experience, education, licensures/certifications, as well as business and organizational needs.
Pay
The Base Salary Range For This Job Is $107,900.00 - $183,400.00
Schedule
Not specified
Skills
Not specified
Benefits
Not specified