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Data Scientist

We are seeking a Data Scientist to join ReFED’s Data & Insights team. You are an experienced and creative data scientist with a strong background in data wrangling, natural language processing (NLP), machine learning, statistics, and visualization. In this role, you will apply NLP techniques to unlock insights from unstructured data, architect knowledge systems from diverse data sources, and build explanatory and predictive models to empower stakeholders—policymakers, NGOs, and businesses—to make data-driven decisions to reduce food waste. This position will report to the Director of Research. 


About The Organization

ReFED is a U.S.-based nonprofit working to catalyze the food system to take evidence-based action to stop wasting food. We do this by cultivating and convening the food community, delivering actionable evidence and insights, and seeding and accelerating food waste solutions. Starting with the 2016 Roadmap to Reduce U.S. Food Waste, ReFED has produced first-of-their-kind tools and resources, providing a full-supply-chain picture of U.S. food waste, cost-effective solutions to reduce it, and methods to track progress. In 2021, ReFED launched the Insights Engine, an online data center serving as the next generation of data, insights, and guidance on U.S. food waste reduction. Reducing food waste will have a significant impact on mitigating climate change, optimizing the use of water, land, and other resources, and providing meals for the over 47 million people in the United States who currently face food insecurity. We are continuing to grow our team to further build our capacity to achieve our vision of a sustainable, resilient, and inclusive food system that makes the best use of the food we grow.


We are a team of doers, and we get a lot accomplished. We create outsized impact, and everyone on the team contributes to accomplishing our shared goals. Learning and professional development are heavily embedded in ReFED’s culture. We promote cross-functional work to embrace diverse perspectives, experiences, and skills to ensure we are an inclusive and authentic workplace, so if you are excited about this role but your experience does not align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. 

Learn more at www.refed.org


In this role, you will help address the following:
  • Build knowledge systems to enable our quantitative research and unlock qualitative insights about food waste measurement and solutions from academic literature, case studies, reports, and media
  • Creatively utilize structured and unstructured data and apply NLP, statistical, and machine learning to answer questions about the extent of food waste, its climate and environmental impacts, and what we can do to reduce it.
  • Synthesize and communicate findings to empower technical and lay audiences to make data-driven decisions about reducing food waste.


Some other things you would engage in:
  • Develop system dynamics, simulation, and material flow models to analyze how food moves through the supply chain, helping to understand how changes in one part of the food supply chain would influence food waste upstream and downstream.
  • Develop scenario analysis frameworks to systematically explore "what-if" questions about the future of food waste reduction.


You could be a great candidate for this role if you have:
  • Formal training in computer science, data science, statistics, math, or a related field.
  • Demonstrated experience building predictive and explanatory models using statistical and machine learning methods.
  • Experience with natural language processing, semantic modeling, LLMs, and RAG development. 
  • Data wrangling, cleaning, exploratory analysis, and data visualization experience.
  • Python experience with an emphasis on clean, maintainable code.
  • Experience with software design patterns and architecture principles and using APIs in a data science context.
  • Cloud platforms (AWS, GCP) experience.
  • Bayesian statistics experience.
  • Experience with system dynamics modeling and simulation tools.
  • Background in environmental economics, industrial ecology, or complex systems modeling.
  • Familiarity with material flow analysis or environmental input-output modeling methodologies.
  • Knowledge of systematic review/meta-analysis methodologies.


We think you would thrive in this role and at ReFED if you:
  • Are passionate about the role of data science and technology in addressing social and environmental issues.
  • Are comfortable working and communicating in an entrepreneurial, ambiguous environment.
  • Thrive in a small, fast-paced, high-growth organization.
  • Have a strong commitment to reducing food waste.


We do not require:
  •  Experience working in the nonprofit or food sector. 


$115,000 - $130,000 a year
ReFED offers a competitive salary and benefits package, opportunities for professional development, and policies and programs that encourage a healthy work-life balance. The salary for this position will be determined based on relevant experience and qualifications. We strive to provide a supportive and inclusive work environment where all team members can thrive and grow professionally while maintaining their personal priorities and values.

ReFED’s U.S. benefits package includes:
* 100% employee and 50% dependent premium coverage for medical, dental, and vision benefits.
* Participation in employer-sponsored 401(k) plans with up to 4% employer matching.
* Professional development opportunities, including an annual budget and the option to participate in ReFED's mentor program.
* 18 paid vacation days annually.
* 10 paid sick days annually.
* Early closure in July and August for Summer Fridays.
* Paid family leave.
* Approximately 13 paid company holidays annually, including closed offices during the last week of the year.
* Short- and long-term disability coverage and term life insurance.
* A flexible work environment with the option to work from home or a co-working space.

We strive to maintain clear and frequent communication throughout the recruitment process, however, due to capacity limitations we may not be able to respond to every initial application. Our process always includes input from multiple team members with diverse backgrounds and perspectives from across the organization.


Our Operating Environment

ReFED is a distributed organization, with a team of 25+ working remotely from various locations across the United States. We use a range of digital collaboration and connectivity tools to facilitate our work, including Google Workspace, Slack, Zoom, Airtable, Salesforce, Miro, Jira, MS Office, Adobe, and Insperity. 


Our remote culture is built through a variety of means, including 3-4 annual in-person gatherings. These events include our annual team retreat, department retreats, and the Food Waste Solutions Summit, a national convening of the food waste movement that we host annually. We also foster team connections through informal virtual get-togethers, ask-me-anything sessions with our Board and Advisory Council members, and peer recognition on our shoutouts channel in Slack. We also have a “Big Dill” spot bonus program and engage in conversation through our watercooler channel in Slack. Our in-person events are essential for team building, learning, and fun.


Justice, Equity, Diversity, and Inclusion Commitment

ReFED is committed to creating an inclusive work environment where all individuals have equal opportunities to contribute and grow. We recognize that our success is rooted in the diverse perspectives and backgrounds of our team members, and we strive to foster a culture of belonging where everyone feels valued and respected. As an equal opportunity employer, we are committed to recruiting, hiring, developing, training, and promoting individuals regardless of their gender identity, sex, race, religion, age, national origin, political affiliation, ancestry, sexual orientation, disability, or veteran status. We acknowledge that systemic barriers limit opportunities for certain groups, and we are dedicated to actively working to remove those barriers and promote justice, equity, diversity, and inclusion (JEDI) in all aspects of our organization. Our commitment to JEDI is an ongoing journey, and we are committed to continuously learning, listening, and improving our practices to create a more equitable and inclusive workplace for all.


Asch Harwood is the hiring manager for this position. Applications must be received by February 28, 2025, to be fully considered.

Average salary estimate

$122500 / YEARLY (est.)
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$115000K
$130000K

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What You Should Know About Data Scientist, ReFED

Are you an imaginative and skilled Data Scientist looking to make a positive impact in the world? Join ReFED’s Data & Insights team, where you’ll harness your expertise in data wrangling, natural language processing, machine learning, and more. As a crucial member of the team, you will dive into unstructured data to extract insights and develop models that empower important stakeholders—policymakers, NGOs, and businesses—to make informed decisions aimed at reducing food waste. You’ll be building knowledge systems, creatively employing both structured and unstructured data, and effectively communicating your findings to a range of audiences. ReFED, a forward-thinking nonprofit, is passionate about transforming the food system to eliminate waste and tackle food insecurity across the United States. Here, you’re not just another employee; you’re part of a talented group dedicated to building sustainable solutions. In our fast-paced environment, you’ll have the chance to develop innovative frameworks, conduct scenario analyses, and engage in meaningful work that contributes to a resilient food system. With a culture that highlights professional growth and collaboration, you will find yourself surrounded by a team that values diverse perspectives and supports each other as we tackle the exciting challenges related to food waste. Embrace this opportunity to not only grow your own skills but also to contribute to an essential mission that aligns with your passion for data and sustainability. Join ReFED, and let’s work together towards a world where food waste is a thing of the past!

Frequently Asked Questions (FAQs) for Data Scientist Role at ReFED
What are the main responsibilities of a Data Scientist at ReFED?

As a Data Scientist at ReFED, your role will focus on utilizing natural language processing and machine learning to derive meaningful insights from data related to food waste. You'll be expected to develop predictive models and knowledge systems, and synthesize findings to help various stakeholders make data-driven decisions. Essentially, you’ll be at the forefront of addressing food waste by leveraging your analytical skills in a purpose-driven environment.

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What qualifications are required for the Data Scientist position at ReFED?

The Data Scientist position at ReFED requires formal training in data science, statistics, or related fields, alongside proven experience in machine learning and natural language processing. Familiarity with data wrangling and visualization, programming in Python, as well as experience using cloud platforms like AWS or GCP, is essential. While a background in the nonprofit sector is not mandatory, a genuine passion for reducing food waste is crucial.

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How does ReFED support the professional development of its Data Scientists?

ReFED places a strong emphasis on professional development. Data Scientists can look forward to opportunities such as mentorship programs, a dedicated budget for learning initiatives, and the chance to collaborate across various functions within the organization. This commitment to growth ensures you can refine your skills, engage with cutting-edge practices, and enhance your impact within the team.

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What type of work culture can a Data Scientist expect at ReFED?

ReFED fosters a collaborative and inclusive work environment that values diverse perspectives and encourages innovation. As a remote team, we leverage digital tools to maintain communication and connection. Team-building activities, virtual get-togethers, and participation in significant events like the Food Waste Solutions Summit create a vibrant and engaging workplace for Data Scientists looking to make a difference.

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What benefits does ReFED provide for Data Scientists?

ReFED offers a competitive salary and comprehensive benefits package for Data Scientists, including health coverage, a 401(k) plan with matching contributions, generous paid time off, and professional development opportunities. Our benefits reflect our commitment to work-life balance and supporting a thriving professional and personal life together.

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Common Interview Questions for Data Scientist
Can you describe your experience with natural language processing as a Data Scientist?

In answering this question, focus on specific projects where you applied NLP techniques. Discuss the tools you used, the data you worked with, and the insights you garnered. If applicable, mention your familiarity with language models or how you’ve handled unstructured data, as this will illustrate your relevant experience comprehensively.

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How do you approach building predictive models, and what frameworks have you used?

Detail your modeling process by explaining how you select features and evaluate model performance. Mention specific frameworks such as Scikit-learn or TensorFlow you’ve utilized, and provide a concrete example of a successful model you’ve built, highlighting the outcome and its impact.

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What strategies do you use for data wrangling and cleaning?

Share your systematic approach to data preparation. Discuss techniques for managing missing values, outlier detection, or transforming variables. You may reference specific libraries in Python, such as Pandas or NumPy, to showcase your proficiency in data wrangling.

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Can you provide an example of how you communicated complex findings to a non-technical audience?

When answering, convey an instance where you simplified technical results for broader stakeholders. Discuss the techniques you used, whether data visualization tools or storytelling methods, that resonated with the audience and helped inform critical decisions.

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How do you ensure cross-functional collaboration in your projects?

Emphasize your communication strategies, such as regular updates, collaborative tools, and inclusive meetings, that you implement to facilitate engagement across departments. This showcases your ability to work in ReFED's cross-functional culture effectively.

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What methods do you use for scenario analysis and exploring 'what-if' questions?

Discuss your approach to scenario analysis, including specific modeling techniques or simulation frameworks you’ve used. Articulate how these methods have informed strategic decisions or provided insights into food waste reduction, aligning your answer with ReFED’s mission.

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What experience do you have with Bayesian statistics?

If you’ve worked with Bayesian statistics, share examples of projects where this method was particularly effective. Discuss the advantages of using Bayesian models and any specific tools or programming languages that you used in your analysis.

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How do you stay updated with the latest trends in data science and analytics?

Express your commitment to continuous learning through resources like webinars, online courses, or involvement in data science communities. Showing that you are proactive in professional growth will resonate with ReFED’s culture of learning and development.

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What would you consider your greatest achievement as a Data Scientist?

Choose a significant project that highlights your skills and impact. Describe the challenge you faced, the approach you took, and the results you achieved. Quantifying the impact of your work can strengthen your answer and clearly demonstrate your competencies.

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Why do you want to work at ReFED and contribute to reducing food waste?

Convey a personal connection to the mission of reducing food waste and how your skills in data science align with ReFED’s goals. Discuss how you admire their innovative approach and how working with this passionate team would serve your career aspirations while making a meaningful difference.

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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
February 17, 2025

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