Senior Data Scientist

Posted 5 Days Ago
Be an Early Applicant
Lehi, UT, USA
In-Office
108K-183K Annually
Senior level
Cloud • Fintech • Software
The Role
The Senior Data Scientist will analyze complex datasets, develop data-driven solutions, lead teams, and leverage AI to enhance products in banking.
Summary Generated by Built In

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.

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


 

If you thrive in a high-energy, entrepreneurial environment, we invite you to share your passion, ideas and excitement at nCino.


 

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. nCino reserves the right to modify the posted range consistent with our internal practices and external market movement. The recruiter for this job posting can share more compensation details during the recruitment process, as base salary is only one component of the total compensation package per position posted.

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 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 [email protected]

Our commitment to inclusion and equality includes a strong belief that the diversity of our team is instrumental to our success.  We strive to create workplaces where employees are empowered to bring their authentic selves to work. 

Skills Required

  • Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a related field with 5+ years of related experience
  • 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
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The Company
HQ: Wilmington, NC
1,263 Employees
Year Founded: 2012

What We Do

Ncino is a cloud-based bank operating solution for the financial services industry. nCino (NASDAQ: NCNO) is the worldwide leader in cloud banking. The nCino Bank Operating System® empowers financial institutions with scalable technology to help them achieve revenue growth, greater efficiency, cost savings and regulatory compliance. In a digital-first world, nCino's single digital platform enhances the employee and client experience to enable financial institutions to more effectively onboard new clients, make loans and manage the entire loan life cycle, and open deposit and other accounts across lines of business and channels. Transforming how financial institutions operate through innovation, reputation and speed, nCino works with more than 1,200 financial institutions globally, whose assets range in size from $30 million to more than $2 trillion.

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