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Senior Data Scientist – Applied AI Blackbaud is seeking a high-performing Senior Data Scientist to champion and accelerate AI innovation in product development.
The senior data scientist will collaborate closely with the data science team, engineering teams, and product managers to design and evaluate next generation AI solutions that deliver measurable impact to customers while meeting high standards for trust, transparency, and responsibility.
This role will solve complex problems, applying the right approach to each problem – ranging from machine learning to Retrieval-Augmented-Generation (RAG), selective fine-tuning, or task-specific small language models (SLMs), based on impact, risk, cost, and operational context.
What You’ll Do
• Frame business and customer problems into responsible data science and ML solutions.
• Design, train, and evaluate models across a range of techniques, selecting the appropriate fit (rules, classical ML, RAG, fine-tuning, SLMs) based on problem fit.
• Design and curate high-quality datasets for modeling and evaluation.
• Define success metrics and evaluation approaches, including human-in-the-loop where appropriate.
• Clearly articulate tradeoffs between approaches (accuracy, explainability, cost, latency, risk).
• Perform error analysis to understand model behavior, bias, and failure modes.
• Partner with product management, AI platform engineering, engineering, and governance teams to operationalize solutions responsibly.
• Contribute to model documentation, transparency, artifacts, and ongoing risk management.
• Improve AI processes through iterative testing, monitoring, measurement, and automation.
• Present key findings and insights clearly to technical and non-technical audiences at various levels of the organization.
• Mentor other team members in data science methodologies and participate in cross-team trainings.
• Stay abreast of the latest advancements in data and AI technologies, suggesting new capabilities to incorporate into the AI platform.
• Actively contribute to thought leadership through research, articles, presentations, and collaboration with Blackbaud Institute partners.
What you'll bring:
• 5+ years of experience in data science or applied machine learning, with experience in large-language based systems (Microsoft and Databricks preferred).
• Strong grounding in statistics and ML foundations.
• Experience applying multiple modeling approaches to production problems.
• Ability to explain tradeoffs between accuracy, explainability, cost, risk.
• Clear communicator with technical and non-technical partners.
• Experience with data analysis in Python, R or similar language.
• Proven experience influencing business decisions and driving business value.
• Ability to work independently and take initiative with little oversight.
• Demonstrated commitment to responsible AI.
• Strong bias to action demonstrated by proactively moving work forward, making timely decisions with incomplete information.
• Ability to deliver work that meets all minimum standards of quality, security, and operability. Stay up to date on everything Blackbaud, follow us on Linkedin, Twitter, Instagram, Facebook and YouTube Blackbaud is a remote-first company which embraces a flexible remote work culture. Blackbaud supports hiring and career development for all roles from the
location
you are in today. Blackbaud is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. To all recruitment agencies: We do not accept unsolicited agency resumes and are not responsible for any fees related to unsolicited resumes. A notice to candidates: Recruitment Fraudulent Alert:Your personal information and online safety as a candidate mean a lot to us. At Blackbaud and our portfolio of companies, recruiters only direct candidates to apply through our official careers page athttps://careers. blackbaud. com/us/enor our official LinkedIn page. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers, or conduct interviews via Skype. Anyone suggesting otherwise is not a representative of Blackbaud.
If you are unsure if a message is from Blackbaud, please emailblackbaudrecruiting@blackbaud. com.
The starting base pay is $101,
900. 00 to $132,
800. 0
0. Blackbaud may pay more or less based on employee
qualifications
, market value, Company finances, and other operational considerations.
Benefits
Include:Medical, dental, and vision insuranceRemote-first workforce401(k) program with employer matchFlexible paid time offGenerous Parental LeaveVolunteer for vacationOpportunities to connect to build community and belongingPet insurance, legal and identity protectionTuition reimbursement program.
The senior data scientist will collaborate closely with the data science team, engineering teams, and product managers to design and evaluate next generation AI solutions that deliver measurable impact to customers while meeting high standards for trust, transparency, and responsibility.
This role will solve complex problems, applying the right approach to each problem – ranging from machine learning to Retrieval-Augmented-Generation (RAG), selective fine-tuning, or task-specific small language models (SLMs), based on impact, risk, cost, and operational context.
What You’ll Do
• Frame business and customer problems into responsible data science and ML solutions.
• Design, train, and evaluate models across a range of techniques, selecting the appropriate fit (rules, classical ML, RAG, fine-tuning, SLMs) based on problem fit.
• Design and curate high-quality datasets for modeling and evaluation.
• Define success metrics and evaluation approaches, including human-in-the-loop where appropriate.
• Clearly articulate tradeoffs between approaches (accuracy, explainability, cost, latency, risk).
• Perform error analysis to understand model behavior, bias, and failure modes.
• Partner with product management, AI platform engineering, engineering, and governance teams to operationalize solutions responsibly.
• Contribute to model documentation, transparency, artifacts, and ongoing risk management.
• Improve AI processes through iterative testing, monitoring, measurement, and automation.
• Present key findings and insights clearly to technical and non-technical audiences at various levels of the organization.
• Mentor other team members in data science methodologies and participate in cross-team trainings.
• Stay abreast of the latest advancements in data and AI technologies, suggesting new capabilities to incorporate into the AI platform.
• Actively contribute to thought leadership through research, articles, presentations, and collaboration with Blackbaud Institute partners.
What you'll bring:
• 5+ years of experience in data science or applied machine learning, with experience in large-language based systems (Microsoft and Databricks preferred).
• Strong grounding in statistics and ML foundations.
• Experience applying multiple modeling approaches to production problems.
• Ability to explain tradeoffs between accuracy, explainability, cost, risk.
• Clear communicator with technical and non-technical partners.
• Experience with data analysis in Python, R or similar language.
• Proven experience influencing business decisions and driving business value.
• Ability to work independently and take initiative with little oversight.
• Demonstrated commitment to responsible AI.
• Strong bias to action demonstrated by proactively moving work forward, making timely decisions with incomplete information.
• Ability to deliver work that meets all minimum standards of quality, security, and operability. Stay up to date on everything Blackbaud, follow us on Linkedin, Twitter, Instagram, Facebook and YouTube Blackbaud is a remote-first company which embraces a flexible remote work culture. Blackbaud supports hiring and career development for all roles from the
location
you are in today. Blackbaud is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. To all recruitment agencies: We do not accept unsolicited agency resumes and are not responsible for any fees related to unsolicited resumes. A notice to candidates: Recruitment Fraudulent Alert:Your personal information and online safety as a candidate mean a lot to us. At Blackbaud and our portfolio of companies, recruiters only direct candidates to apply through our official careers page athttps://careers. blackbaud. com/us/enor our official LinkedIn page. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers, or conduct interviews via Skype. Anyone suggesting otherwise is not a representative of Blackbaud.
If you are unsure if a message is from Blackbaud, please emailblackbaudrecruiting@blackbaud. com.
The starting base pay is $101,
900. 00 to $132,
800. 0
0. Blackbaud may pay more or less based on employee
qualifications
, market value, Company finances, and other operational considerations.
Benefits
Include:Medical, dental, and vision insuranceRemote-first workforce401(k) program with employer matchFlexible paid time offGenerous Parental LeaveVolunteer for vacationOpportunities to connect to build community and belongingPet insurance, legal and identity protectionTuition reimbursement program.
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