Senior 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 Senior 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.

• Mentoring junior data scientists.

• Advising data engineers and data architects on technology stack options.

• 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:

• 4-6 years in data science, analytic, or an equivalent educational or career background (experience in an Agile environment preferred)

• 4-6 years of working with Machine Learning and Artificial Intelligence

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

• Excellent attention to detail

• Familiarity with data management tools

• Thorough 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

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 factors, including job-related skills, experience, and relevant education or training. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and in addition to benefits this role may be eligible for discretionary bonuses/incentives, and equity.

US base salary range: $113,400 - $150,000

Please note that the compensation range specified in this job posting is applicable to candidates based in the United States. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

For international applicants, actual salary offers may vary based on the local market compensation standards and will be determined in accordance with regional considerations, including but not limited to applicable laws, cost of living, and industry norms.

Our Culture:

Our team is made up of industry experts and advocates who are 100% committed to supporting the doers of social good. We are currently undergoing an effort to create the vision and values that embody our collective organization and embrace the individuals who make up our community.

Our comprehensive and competitive benefits include:

• Generous Flexible Time Off (FTO) Policy

• Equity for ALL regular, full-time employees from individual contributors to management - share in our success!

• Up to 15 paid company holidays including some commemorating social justice events and self-care

• Paid volunteer time

• Resources for savings and investments

• Paid parental leave

• Paid sick leave

• Health, vision, dental, and life insurance with additional access to health and wellness programs.

• Opportunities to learn, develop, network, and connect

We are committed to being an equal opportunity employer and evaluate qualified applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, diversity of thought and any other characteristic protected by applicable law.