Data Scientist

Bonterra exists to propel every doer of good to their peak impact. We measure that impact against our vision to increase the giving rate as a percentage of GDP from 2% to 3% by 2033. We know that this goal is lofty, but we are confident that the right technology and expertise will strengthen trust in the sector, allowing the social good industry to accelerate growth and reach peak impact. Bonterra's differentiated, end-to-end solutions collectively support a unique network of over 20,000 customers, including over 16,000 nonprofit organizations and over 50 percent of Fortune 100 companies. Learn more at bonterratech.com.

At Bonterra, our Data Scientists combine a passion for data, a desire to be accurate, attention to detail, and the ability to work through problems. The ideal candidate will have a hunger for answers, humility, an understanding of the science powering their decisions, and presentation skills to communicate their findings.  The impact of our work empowers non-profit and public-sector organizations whose goals are to help those who need it most, and our products must live up to those lofty ideals every day.

The Data Science role will be responsible for developing analytics and predictive models to support the capabilities in our platform on which the organizations build their service delivery models and raise funds.  Understanding our CBO clients’ delivery models/fundraising and supporting processes in order to determine how our software can empower those processes will be critical to our success. You will play a leading role in executing on the long-term analytic vision for the company, with a strong focus on optimizing the user experience and outcomes for our enterprise-level software.

What You’ll Do

• Own a backlog of predictive model requests and analytic needs, taking responsibility for proof-of-concept model building, managing EDW requests, validation of model efficiency, and delivering predictive models and analytics.

• Working with data engineers, product engineers, product managers, and other data scientists on a routine basis.

• Quantify and track the success for analytic features.

• Thinking through metrics that we want to optimize to then be able to build a data set with the right independent variables (features) and then choosing the right methodology for predicting the dependent variable.

• Work hand-in-hand with your Data Engineer, Data Architect, and Product Manager teammates to ensure we are delivering an efficient and validated solution to our product teams.

• Incorporate feedback from other departments, ensuring you understand the impact of our decisions on the company as a whole.

• Measure and present the impact of your work directly to the leadership team, quantifying the value of your progress.

Requirements:

• 1-3 years in data science, analytic, or an equivalent educational or career background (experience in an Agile environment preferred)

• 1-3 years of working with Machine Learning and Artificial Intelligence (LLMs)

• Ability to communicate complex data in a simple, actionable way

• Excellent attention to detail

• Familiarity with data management tools (we use Snowflake, Python, and DBT)

• Basic understanding of how modern technology systems are designed and built

• Strong presentation skills used for presenting internally to leadership team members

• Excellent time management skills and able to manage deadlines in a fast-paced environment

• Enjoy adapting to feedback from both users and internal stakeholders, building stronger analytics as a result

• Experience with SQL and (python or R or SPSS/SAS)

Nice to Have

• Experience using data to inform design and product decisions

• Demonstrated ability to collaborate with multiple functional areas of business – engineering, design, finance, sales, and marketing

• Demonstrated ability to figure out solutions to hard problems with many constraints, using sound judgement to assess risks, and to lay out your argument in a well-structured, data-informed, written narrative

• Experience with product management tools (ie. JIRA and Aha!) is beneficial

At this time, we are unable to consider candidates who require current or future sponsorship for employment authorization.

Compensation

The range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factor