<div><strong>Senior Data Scientist</strong></div><div><br>Givelify is a fintech-for-good company where brilliant minds come to power the most loved and trusted online and mobile giving app platform. Thanks to over 2 million generous donors, we’ve helped more than 80,000 nonprofits and places of worship raise over $7.5 billion. Together, they’re changing their world with kindness and generosity.&nbsp;</div><div><br>Inc. 5000, the Stevies® Awards, Gartner, Forbes, and many more have recognized our story, innovations, and achievements. Our award-winning team builds products and experiences that put more good into the world. We love to take on big challenges because we know our work matters. &nbsp;<br><br></div><div>Make an impact at one of the fastest-growing private companies in the U.S. Be part of a talented team of big-hearted individuals, earning competitive pay with excellent benefits.&nbsp;<br><br></div><div><strong>About your role </strong>&nbsp;<br><br></div><div>We're seeking a Senior Data Scientist to be an early and foundational member of a growing Data Science &amp; Insights team — with a focus spanning product and business analytics at Givelify. Reporting to the Head of Data Science &amp; Insights, you will work across the full analytics stack — dashboards, metrics, experimentation, and modeling — with an immediate focus on building the business intelligence infrastructure that gives Givelify transparent, reliable visibility into how the organization is performing.&nbsp;<br><br></div><div>This is a generalist senior individual contributor role by design. As the team grows and specialization becomes possible, your focus will evolve with it. For now, breadth is the asset — you are someone who can move fluidly across problem types and deliver rigorously wherever you land.&nbsp;<br><br></div><div><strong>Your Team</strong></div><div><br>You will be part of the Data Science &amp; Insights team — driving experimentation, analytics, and modeling at the frontier of behavioral science and fintech, tackling problems most data teams never encounter. We translate the complexity of human generosity into rigorous, measurable insight that shapes products and decisions at scale.&nbsp;</div><div><strong><br>Senior Data Scientist will get to:</strong></div><ul><li>Own the development of org-wide business dashboards that provide transparent, reliable insight into company performance, functional health, and execution velocity — the infrastructure that helps Givelify understand how it is operating at any moment.&nbsp;</li><li>Partner with cross-functional teams to define, instrument, and maintain the metrics that matter — ensuring the right things are being measured, consistently and trustworthy.&nbsp;</li><li>Partner with Product and cross-functional teams to design and execute rigorous A/B and multivariate experiments that establish causation before solutions launch — embedding an experiment-first mindset into how Givelify builds and decides.&nbsp;</li><li>Work alongside the Data Science &amp; Insights team to continuously raise the bar on experimentation at Givelify — tackling hard methodological challenges like measuring the impact of experience-driven features, managing concurrent experiments, and developing approaches that make rigorous testing possible even where it has historically been difficult.&nbsp;</li><li>Build predictive and behavioral models that deepen understanding of donor and organizational behavior — segmentation, churn, propensity, and beyond.&nbsp;</li><li>Translate complex analytical findings into clear, decision-ready recommendations for executives and cross-functional stakeholders.&nbsp;</li></ul><div><strong><br>To be successful in this role, you’ll also:&nbsp;</strong></div><ul><li>Own your outcomes completely — you hold yourself accountable for scoping, delivery, and impact, and you execute collaboratively, knowing the best analytical work at Givelify is built with teams, not in isolation.&nbsp;</li><li>Proactively surface opportunities to bring experimentation and causal rigor to decisions across the organization — making the experiment-first mindset contagious.&nbsp;</li><li>Bring stakeholders into the analytical process early and continuously — from question definition through to recommendation — so that insights translate into action.&nbsp;</li><li>Lead with expertise and invest in others — as an early member of a growing function, your impact extends beyond your own output to how the team gets better.&nbsp;</li></ul><div><strong><br>Your experience:&nbsp;</strong></div><ul><li>5–8+ years of experience in data science, business intelligence, applied statistics, or advanced analytics&nbsp;</li><li>Master's or Ph.D. in Statistics, Data Science, Operations Research, Mathematics, Econometrics, or a related quantitative field&nbsp;</li><li>Strong track record building business dashboards and insight systems that drive operational visibility and executive decision-making&nbsp;</li><li>Solid experience with experimental design and causal inference — A/B testing, power analysis, difference-in-differences, propensity methods — and translating results into business decisions&nbsp;</li><li>Strong background in predictive and behavioral modeling — regression, classification, segmentation, time series, gradient boosting — with a focus on business application&nbsp;</li><li>Expert in SQL; advanced proficiency in Python (pandas, scikit-learn, statsmodels, PySpark) and/or R&nbsp;</li><li>Hands-on experience with modern data stacks, Databricks preferred; broader fluency with modern data stacks essentials&nbsp;</li><li>Comfortable working across problem types — you don't need a narrow lane to do excellent work&nbsp;</li><li>Practical fluency using AI/LLM tools to accelerate analytical work (e.g., exploratory analysis, code assistance, documentation), along with an understanding of responsible AI use and data governance &nbsp;</li></ul><div><strong><br>Your superpowers:&nbsp;</strong></div><ul><li>You influence through evidence and storytelling — you don't just analyze; you move people and decisions with what you find&nbsp;</li><li>You translate ambiguity into clarity — where others see a messy question, you see an analytical path forward&nbsp;</li><li>You are data-informed, not data-driven — you know that data illuminates decisions, and you bring analytical rigor and human judgment in equal measure&nbsp;</li><li>You are a custodian and evangelist of causal rigor — you champion well-designed, preemptive experiments as the gold standard for knowing what works, and you carry that conviction into every analytical conversation&nbsp;</li><li>You are a player-coach — you lead with expertise, build strong processes, and make the people around you better&nbsp;</li><li>You are energized by being early — you find building more exciting than inheriting a mature function&nbsp;</li><li>You are comfortable with a shifting focus — you thrive when priorities evolve and don't need a narrow lane to do excellent work&nbsp;</li></ul><div><strong><br>Our culture:</strong>&nbsp;</div><div>We are a virtual team of award-winning and high-performing professionals who innovate and collaborate to fulfill our mission to instantly connect people to causes that matter most to them so they can change their world with kindness and generosity. Our four keys to success - integrity, heart, simplicity, and wow - fuel our passion to be recognized among the tech industry’s most inclusive and purpose-driven workplaces. &nbsp;<br><br></div><div>We are steadfast in our conviction to overcome challenges while performing meaningful work alongside some of the most brilliant minds and biggest hearts. It propels our growth as individuals and as a team. We are committed to respecting each other in our workplace, firmly believing diversity is our strength.&nbsp; &nbsp; &nbsp;</div><div><br>At the heart of everything we do are our giving community, our donors and our partner organizations. We lean on research and human-centered design to consistently push the envelope and innovate our products and customer experiences. &nbsp;</div><div><br>We take great pride in providing competitive pay, full benefits to help care for you today and in the future, amazing perks (including flexible PTO), and, most importantly, the opportunity to put passion and purpose front and center.&nbsp;<br><br></div><div><strong>About Givelify</strong></div><div>Givelify is the most loved and trusted online and mobile giving platform. Along with its powerful donation management system, it’s the fastest-growing technology for advancing generosity in the world. We instantly connect people to their heart’s impulse to do good with award-winning products and experiences. A global community of over 2 million generous people supports their favorite churches, places of worship, nonprofits, and causes with over $7.5 billion in donations across more than 80,000 organizations. Givelify leads all giving apps on the App Store and Google Play Store with more than 135,000 verified, authentic reviews with an average 4.9 out of 5-star rating.</div>

Senior Data Scientist

<div><strong>About the Team&nbsp;</strong></div><div>The Subsplash Product and Engineering Team is responsible for all products that the company develops including the tools and services we offer our clients as well as the App Platform that serves our clients’ end users. We are a team of designers, developers, and coordinators, creating polished experiences for our clients and end users. The Product and Engineering Team is responsible for the entire user experience including: End-User Mobile Apps, the Subsplash Dashboard (our Content Management System), Subsplash Giving, the Web App, TV apps, APIs, analytics, and more. The Product and Engineering Team supports our Clients by helping them maximize digital engagement, fuel their mission and expand their reach.</div><div><br><strong>About the Role</strong></div><div>As a Software Development Engineer III, you will report to one of our Software Development Managers. This is a senior level role within our team, and with that comes a high degree of influence. You will work closely with Designers, Project Managers and other Engineers to build systems that people want to use and can rely upon. You recognize the importance of stability and uptime for web services and financial software systems. You are cautious and contemplative with architectural decisions, working alongside others to deliver secure, stable, and elegant solutions. You enjoy reviewing other team member’s work, and receiving constructive feedback as well. You treat security concerns as first class citizens, and will help coach others to understand industry best practices.</div><div><br><strong>Compensation</strong></div><div>The total overall compensation for this role will be between $135,000-155,000/yr.</div><div><br></div><h3><strong>Required Education + Experience</strong></h3><ul><li>7+ years of full time programming experience in a group/team environment</li><li>Experience and proficiency making architectural decisions both in expanding existing projects and planning/implementing new systems&nbsp;</li><li>Significant experience with server-side web technologies (Examples: Unix/Linux, Golang, PHP,&nbsp; MySQL, MongoDB)</li><li>Networking and Network Security proficiency</li><li>Experience protecting against security risks such as XSS, SQL Injection, appropriate use of SSL, session hijacking etc.</li><li>Experience, knowledge, and mindfulness of security best practices with server-side and client-side (e.g. Javascript) languages as well as industry standards</li><li>Hands-on experience with AWS or similar hosting providers</li><li>Experience writing technical documentation and proposals</li><li>Value collaboration, reviewing others work, mentoring others, as well as receiving constructive feedback</li><li>Able to navigate ambiguous requirements while prioritizing multiple projects, tasks, and bug fixes</li><li>Ability to mentor others, communicate complex technical requirements with clarity, and the ability to influence others' technical design decisions</li><li>Participate in the team’s on-call rotation as needed</li><li>Bachelor of Science in Computer Science/Engineering, or equivalent experience</li></ul><div><br></div><h3>Desired Skills and Experience</h3><ul><li>Experience with Golang, Microservice architecture, NGINX, Redis, and PHP</li><li>Extensive knowledge of HTML5, CSS3, AJAX, JSON, and cross-browser compatibility</li><li>Solid understanding of OAuth2 and Authentication protocols</li><li>Knowledge of Continuous Integration and Continuous Delivery</li><li>Knowledge of data security best practices related to PCI/DSS/CISP/SOC2</li><li>Experience with containerization and orchestration (Docker/Kubernetes, etc.)</li><li>Experience with AI-driven development agents (e.g., Claude Code, Cursor) and integrating LLMs into the SDLC to significantly accelerate engineering velocity.</li><li>Proficiency in prompt engineering and agent orchestration, with an ability to effectively review, debug, and refine code generated by agents.</li><li>Understanding of AI-native development patterns, including managing agent-specific context (e.g., CLAUDE.md), utilizing Model Context Protocol (MCP) integrations, and adhering to automated guardrails for security and code quality.</li><li>Strong product-design intuition to define requirements, oversee agent-led implementation, and maintain high code quality in a high-velocity, automated environment.</li><li>Familiar with Agile principles and Scrum</li></ul><div><br><strong>You are…</strong></div><ul><li><strong>Passionate: </strong>You demonstrate our core values of Humility, Innovation, and Excellence</li><li><strong>Trustworthy: </strong>You understand the importance of confidentiality with sensitive information</li><li><strong>Efficient:</strong> You naturally have the ability to prioritize multiple projects and tasks</li><li><strong>A Communicator:&nbsp; </strong>You have a knack for clear and concise communication&nbsp;</li><li><strong>A Driver:</strong> You are smart, persistent, and not easily blocked</li><li><strong>Team-Oriented: </strong>You love your Designer, because technical architecture only matters if people want to use the tools and you love your Project Manager, because great software doesn’t count if it never ships.</li><li><strong>A Learner:</strong> You are<strong> </strong>committed to staying current with new technologies and industry trends.</li><li><strong>A Mentor: </strong>You have a love for learning and teaching others while maintaining a posture of humility.</li></ul><div><br><strong>Location</strong></div><div>Subsplash currently has operations in 27 states across the US! As much as we would love to have employees in as many states and countries as we have clients, we are currently limiting hiring to the states we already operate in. As a result of that,<strong> this role is only available as a 100% remote position if you reside in one of the following states:&nbsp;</strong></div><div><br>AL, AR, AZ, CO, FL, GA, ID, IA, IN, KS, KY, MO, MI, MN, NC, NM, OK, OH, OR, SC, SD, TN, TX, UT, VA, WA, WY.</div><div><br>Unfortunately, if you do not <strong>currently</strong> reside in one of these states, we are unable to consider your application.</div><div><br><strong>Benefits</strong></div><div>Generous Paid Time Off (Accrual rate of 15 days for the first year and then 20 vacation days per year beginning on your 1 year anniversary), Medical Coverage, Dental Coverage, Vision Coverage, short and long term disability and life insurance all free of charge, Competitive Compensation, 401k Matching, Professional Development, Top of the Line Equipment, Referral Program, Parental Leave, Family-Friendly Culture, and the chance to work side-by-side with thought leaders in emerging tech</div><div><br><strong>About Subsplash</strong></div><div>Subsplash is an exciting, award-winning team of 290+ mission-driven people who are committed to our core values of humility, innovation, and excellence. Founded in 2005, we’ve remained family owned and operated while pioneering the market with the first ever church mobile app. Since then, we’ve been working together to build The Ultimate Engagement Platform™ for churches, Christian ministries, non-profits, and businesses around the world. We find excitement in serving our 17,000+ clients, creating impactful products, and delighting the 40 million real people who use our platform every day. Subsplash has won awards for best mobile experience, been voted top 100 Washington's Best Workplaces by the Puget Sound Business Journal, created some of the most downloaded apps of all time, and built enterprise software for world-class brands like XBOX, Microsoft, Samsung, Expedia, and Cisco; yet, at the end of the day, we love making a lasting impact and a difference in our world.</div>

Software Development Engineer III (Backend + AI)

<div>Nelnet Business Services (NBS), a division of Nelnet, Inc., provides payment technology, education services, and learning management solutions to education and faith-based organizations, serving more than 1,300 higher education institutions, 11,500 K-12 schools, 3,500 churches, and millions of individual students, families, and supporters across the globe. Our culture of service enables us to form long-lasting and trusted partnerships, while our focus on creativity and innovative solutions empowers our customer communities to thrive.</div><div>&nbsp;</div><div>As a Nelnet company, the perks at NBS go beyond our benefits package. You’re part of a community, invested in you as an individual and united by our mission to create opportunities for people where they live, learn and work.</div><div>The Senior Data Scientist is responsible for leading the development and implementation of machine learning models to solve complex business problems.&nbsp; This position works with large datasets, cleans and pre-processes data, and performs exploratory data analysis to understand the underlying patterns and trends.&nbsp; The Senior Data Scientist is also responsible for mentoring more junior Data Scientists, collaborating with cross-functional teams, and presenting findings and recommendations to senior leadership.</div><div><br><strong>JOB RESPONSIBILITIES:</strong><br>1.&nbsp; &nbsp; Conduct advanced analyses and statistical deep dives, with a focus on producing actionable recommendations and strategic guidance for decision makers.<br>2.&nbsp; &nbsp; Develop and deploy custom models and algorithms using data and machine learning libraries to solve complex business problems.<br>3.&nbsp; &nbsp; Mine, clean, process, transform and join data from a variety of sources including SQL servers, AWS environments, Azure, SnowFlake, SalesForce, internal systems, and flat files.<br>4.&nbsp; &nbsp; Identify, wrangle, scrape, and assemble new data sources from the web, data aggregators, and public sources.<br>5.&nbsp; &nbsp; Build rich, interactive dashboards and visualizations from the ground up using PowerBI.<br>6.&nbsp; &nbsp; Compile and present key findings and reports to all levels of the organization, including senior leadership.&nbsp;<br>7.&nbsp; &nbsp; Continuously seek out opportunities to add value through process automation and programmatic solutions to manual tasks and monitor and improve Data Science model performance.&nbsp;<br>8.&nbsp; &nbsp; Act as a subject matter expert within the data science field. Continuously learn, grow, and explore new emerging technologies. (Stay up to date with industry trends and best practices.<br>9.&nbsp; &nbsp; Problem-solve, generate new ideas, and provide creative solutions.<br>10.&nbsp; &nbsp; Mentor, model, act as a resource, and provide guidance for more junior analysts and team members.&nbsp;<br>11.&nbsp; &nbsp; Lead development, testing and implementation of machine-learning models and algorithms using data and machine learning to solve complex business problems.<br>&nbsp;</div><div><strong>Salary range for this role is: $63,000- $127,000</strong><br>&nbsp;</div><div><strong>EDUCATION</strong>:&nbsp;<br>PHD degree required in a Quantitative (heavy in mathematics, statistics or analysis, such as Applied Mathematics, Optimization, Psychology, or Economics) or Programming discipline.&nbsp;</div><div><br><strong>EXPERIENCE</strong>:&nbsp;<br>1.&nbsp; &nbsp; 2+ years of experience in data analysis.<br>3.&nbsp; &nbsp; 1+ years of programming experience.&nbsp;<br>4.&nbsp; &nbsp; Significant experience working with large, complex data sets and common data science tools.<br>5.&nbsp; &nbsp; Experience working with database Python.<br>6.&nbsp; &nbsp; Experience designing, building, deploying, and validating machine-learning predictive models, ideally within a business framework.</div><div>7. Experience training multi model design to structure and train for unstructured data matching.</div><div>8. Experience training LLM models for specialized use cases</div><div><br><strong>COMPETENCIES – SKILLS/KNOWLEDGE/ABILITIES:</strong><br>1.&nbsp; &nbsp; Highly inquisitive and self-motivated.<br>2.&nbsp; &nbsp; Ability to map out solutions with a starting point and end goal, but with few steps identified in-between.<br>3.&nbsp; &nbsp; Exceptional ability to analyze and synthesize data.<br>4.&nbsp; &nbsp; Advanced proficiency in SQL and Python.&nbsp;<br>5.&nbsp; &nbsp; Competency navigating and working within the AWS cloud suite.<br>6.&nbsp; &nbsp; Competency designing self-learning models that result in logarithm trends to identify trends in data to predict potential outcomes or missing data fields.<br>7.&nbsp; &nbsp; Core understanding of statistical concepts and methods.<br>8.&nbsp; &nbsp; Competency in the MS Office Suite.<br>9.&nbsp; &nbsp; Highly accountable and inquisitive, able to manage multiple tasks in a fast-paced, dynamic environment.&nbsp;<br>10.&nbsp; &nbsp; Self-motivated.<br>11.&nbsp; &nbsp; Excellent communication skills (written, verbal, and interpersonal) to coordinate across teams and deliver polished presentations.</div><div>12. Experience with training NumPy and Pandas models.<br><br>Our benefits package includes medical, dental, vision, HSA and FSA, generous earned time off, 401K/student loan repayment, life insurance &amp; AD&amp;D insurance, employee assistance program, employee stock purchase program, tuition reimbursement, performance-based incentive pay, short- and long-term disability, and a robust wellness program.&nbsp;</div>

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