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Staff Data Scientist, Business Solutions

About GoodLeap:

GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $27 billion in financing for sustainable solutions since 2018.

 

GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America.


Position Summary

We are seeking a Staff Data Scientist with experience owning analysis roadmaps and influencing stakeholders to guide Business Solutions strategy.  Our ideal candidate is impact-oriented, comfortable balancing competing priorities, and skilled at working independently with both product and business stakeholders.  In this role, you will scope, prioritize, and execute analysis projects that will uncover opportunities, inform investments, and drive accountability for results.  You will also have the opportunity to work closely with other members of the Analytics team on foundational projects to empower analysts and business users across the company with more and easier access to data.


Essential Job Duties & Responsibilities
  • Work with stakeholders to scope and prioritize analysis and modeling projects that will drive impact and guide business and product decisions
  • Develop metrics that are informative, responsive, and relevant to stakeholder teams’ actions
  • Design and execute rigorous, actionable analyses and data modeling projects, using appropriate statistical methods to validate hypotheses and/or production actionable predictions and prescriptions
  • Communicate analysis and modeling results effectively to non-technical stakeholders and represent data perspective in strategy and architecture conversations
  • Work with stakeholder teams to identify key assumptions in business strategy and/or business opportunities addressable through data modeling and develop plans for using data to learn quickly and deliver results
  • Work with product and business teams to develop and execute measurement plans for new initiatives and/or model deployments, including selecting success metrics, reviewing instrumentation and measurement plans, and developing launch reporting


Required Skills, Knowledge & Abilities
  • MS in DS, Statistics, or related technical degree or equivalent work experience
  • 6-10 years' experience as a Data Scientist or in a similar role
  • 5+ years' hands-on SQL experience in a work environment
  • Experience with data modeling and/or casual inference, as appropriate for role
  • Experience with statistical programming in Python (numpy, pandas) or R
  • Experience with building reports and visualizations to represent data intuitively in Tableau or similar data visualization tools
  • Demonstrated ability to work cross-functionally and communicate with technical and non-technical teams
  • Demonstrated ability to work with stakeholders to translate business questions into rigorous and actionable data projects
  • Experience owning, prioritizing, and communicating an analysis and/or data modeling roadmap for a business area


$173,000 - $200,000 a year
In addition to the above salary, this role may be eligible for a bonus and equity.

Additional Information Regarding Job Duties and Job Descriptions:


Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law.


If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you!  Apply today!

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Average salary estimate

$186500 / YEARLY (est.)
min
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$173000K
$200000K

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What You Should Know About Staff Data Scientist, Business Solutions, GoodLeap

GoodLeap, a leading technology company that champions sustainability, is on the lookout for a Staff Data Scientist for their Business Solutions team. Imagine playing a pivotal role in shaping strategies that can influence positive change, making sustainable solutions more accessible to homeowners everywhere. As a Staff Data Scientist, you'll be responsible for owning the analysis roadmaps that guide critical business and product decisions. If you're someone who thrives on impact, enjoys juggling priorities, and feels comfortable working independently as well as collaboratively with product and business stakeholders, this role is calling your name! In this position, you'll scope, prioritize, and execute innovative analysis projects that uncover significant opportunities. Not only will you communicate your findings to diverse teams, but you will also help create metrics that are essential for informed decision-making. Your expertise in SQL, Python, or R will be instrumental in developing actionable data models and analyses that drive accountability for results. By joining GoodLeap, you'll not only contribute to projects that lead to over $27 billion in financing for sustainable solutions, but you'll also play a role in positively impacting communities worldwide through initiatives like GivePower. If a rewarding career, a collaborative work culture, and a commitment to sustainability resonate with you, we want to hear from you!

Frequently Asked Questions (FAQs) for Staff Data Scientist, Business Solutions Role at GoodLeap
What responsibilities does a Staff Data Scientist at GoodLeap have?

The Staff Data Scientist at GoodLeap is tasked with scoping, prioritizing, and executing analysis projects that drive strategic business decisions. This role involves developing metrics, designing rigorous analyses, and communicating findings to non-technical stakeholders.

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What qualifications are required for the Staff Data Scientist position at GoodLeap?

Candidates for the Staff Data Scientist role at GoodLeap should have an MS in Data Science, Statistics, or a related field, along with 6-10 years of experience in a similar position. Proficiency in SQL and statistical programming in Python or R are also essential.

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How does a Staff Data Scientist influence business strategy at GoodLeap?

A Staff Data Scientist influences business strategy at GoodLeap by translating complex data insights into actionable recommendations. They prioritize and execute analysis projects that uncover business opportunities and guide stakeholders in decision-making.

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What tools does a Staff Data Scientist use at GoodLeap?

At GoodLeap, a Staff Data Scientist commonly utilizes SQL for data querying, Python or R for statistical analysis, and tools like Tableau for creating intuitive data visualizations. These tools facilitate effective communication of insights with various stakeholders.

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What is the salary range for the Staff Data Scientist position at GoodLeap?

The salary range for the Staff Data Scientist at GoodLeap is between $173,000 and $200,000 per year, in addition to potential bonuses and equity options.

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Common Interview Questions for Staff Data Scientist, Business Solutions
What data modeling experience do you have as a Staff Data Scientist?

When responding to this question, emphasize any specific projects or models you've worked on. Discuss your methods for choosing appropriate statistical techniques and how you validated your models to ensure accuracy.

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Can you describe a time you influenced a significant business decision using data?

Share a specific example that highlights your analytical skills and your ability to communicate insights. Explain the data-driven decisions you influenced and the impact they had on the business.

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How do you prioritize analysis projects as a Staff Data Scientist?

Discuss your criteria for project prioritization, such as business impact, stakeholder needs, or resource availability. Emphasize your collaborative approach in working with stakeholders to align on project priorities.

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How do you handle conflicting priorities in your work?

Explain your strategy for managing competing tasks, such as effective communication with stakeholders to set expectations and deadlines. Talk about how you keep all parties informed throughout the analysis process.

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What experience do you have with SQL and data visualization tools?

Be specific about your hands-on experience with SQL, mentioning practices like complex queries and database management. Also, describe your familiarity with data visualization tools such as Tableau, including any key reports or dashboards you've created.

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How do you ensure your analysis is actionable?

Talk about your approach to developing insights guided by business questions. Use examples of how you've tailored your analyses to ensure they drive informed actions or decisions for stakeholders.

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Describe a challenging project you managed as a data scientist and how you overcame it.

Select a project that posed unique challenges, highlighting your problem-solving skills and adaptability. Focus on the steps you took to ensure successful outcomes despite obstacles.

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Can you explain your experience with statistical programming in Python or R?

Relate your experience with specific libraries, such as NumPy and pandas in Python, or packages in R. Describe the types of analyses you've conducted and how these skills enhanced your work as a data scientist.

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How do you approach data validation for your analysis?

Elaborate on your methods for ensuring data quality, including data cleaning and testing for reliability. Explain how thorough validation impacts the credibility of your analysis.

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What role does collaboration play in your work as a Staff Data Scientist?

Highlight the importance of working closely with cross-functional teams. Discuss how collaboration leads to better insights, addresses stakeholder needs, and enhances the overall effectiveness of your projects.

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GoodLeap has an ambitious mission: to connect a world in which everyone can live sustainably. GoodLeap provides frictionless, point-of-sale technology for countless mission-driven professionals and millions of people who seek to live a more susta...

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BENEFITS & PERKS
Dental Insurance
Disability Insurance
Flexible Spending Account (FSA)
Health Savings Account (HSA)
Vision Insurance
Performance Bonus
Family Medical Leave
Paid Holidays
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Full-time, remote
DATE POSTED
April 21, 2025

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