Graduate or doctoral student with a focus on nonprofit strategy, fundraising, and data science., Proficiency in programming languages such as R and Python., Strong skills in statistics, modeling, machine learning, and data visualization., Excellent project management and communication skills..
Key responsibilities:
Work with the Analytics team on initiatives related to nonprofit fundraising.
Configure Large Language Models (LLMs) using proprietary data for fundraising applications.
Develop and test user interfaces like chatbots for nonprofit fundraising use cases.
Collaborate with team members and mentors on various challenging assignments.
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For over 75 years, CCS Fundraising has empowered many of the world’s greatest organizations to advance some of the most important causes in history. As leading consulting experts in campaign and development strategy, we plan and implement fundraising initiatives to help nonprofit organizations make a bigger impact—locally, nationally, and globally.
Members of the CCS team are highly experienced and knowledgeable across sectors, disciplines, and regions. Our unique, customized approach provides each organization with dedicated professionals who help mission-driven organizations meet their most pressing challenges and achieve their most ambitious goals. While the results of our work are immediate, our impact is enduring.
TITLE: Summer Associate – Data Science LOCATION: Remote REPORTS TO: Executive Vice President, Data Analytics DEPARTMENT: Analytics TYPE: 10 Weeks (June – August)
This position is not eligible for employer visa sponsorship.
WHO WE ARE CCS Fundraising is an international strategic fundraising firm that partners with nonprofits for transformational change. Since 1947, CCS has empowered many of the world’s greatest organizations across sectors to advance some of the most important causes in history. We plan, manage, and implement programs and initiatives that achieve fundraising goals and mission impact.
CCS provides tailored support to more than 700 nonprofit organizations annually. Headquartered in New York, the firm has over 600 professionals and 18 offices throughout the United States and Europe. Our people are our greatest strength. At CCS, you will join a diverse team of smart, passionate, and resourceful professionals who are driven by purpose and committed to performance.
UNDERSTANDING THE ROLE
The Summer Associate program is designed to offer a hands-on learning experience for individuals interested in leveraging data to help nonprofit organizations develop smarter and more impactful fundraising strategies.
The Associate will work with CCS Fundraising’s Analytics team on external and internal initiatives. Specifically, the Associate will work on configuring Large Language Models (LLMs) for nonprofit fundraising using CCS’s proprietary data. The end product would be a chatbot or another user interface, fine-tuned and tested for nonprofit fundraising use cases.
QUALIFICATIONS
The Summer Associate – Data Science will be a graduate or doctoral student interested in the intersection of nonprofit strategy, fundraising and data science. Other qualifications will include:
A passion for the nonprofit sector and a keen interest in how data can drive fundraising strategy
Knowledge of programming languages, including R and Python
Proficiency with statistics, modeling, machine learning, data visualization, and exploratory data analysis
Excellent project management skills with the ability to map out and meet goals and deadlines
Ability to work independently, with an assigned mentor, and with other members of a very strong team covering challenging and interesting assignments
Well-developed communication skills, both verbal and written, are required
CCS offers competitive benefits, a dynamic training program, resources, career advancement, mentoring, and networking opportunities. We are an Equal Opportunity Employer and strongly encourage a diverse pool of candidates to apply.
Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.