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
If you thrive in a high-energy, entrepreneurial environment, we invite you to share your passion, ideas and excitement at nCino.
The base salary range for this job is:
$107,900.00 - $183,400.00
nCino provides equal employment opportunities to all employees and applicants for employmen
Additional Information
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.
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.
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.