Offer summary

Qualifications:

8+ years in data science, Bachelor's degree in relevant field, Proficient in Python or R, Experience with SQL and data warehousing, Familiarity with TensorFlow or PyTorch.

Key responsabilities:

Manage the complete data science project lifecycle

Employ statistical analysis methods for model accuracy

Partner with teams to create actionable solutions

Shape data strategy and drive product innovation

Mentor fellow data scientists and promote learning

Job description

About Scope3

Scope3 is the industry’s leading collaborative sustainability platform. By modeling the complex digital advertising supply chain, we help brands measure and dramatically reduce digital waste to reduce carbon emissions from advertising and increase the efficacy of advertising investment. This is an exceptional opportunity to build a company alongside great people and make a difference in one of the most important issues facing the planet: the climate crisis.

We’re a reliably-funded company of 70 folks distributed across the globe. We are fortunate to be led by an experienced leadership team, many of whom designed and engineered the digital advertising landscape as we know it today. The company secured $20M in Series B funding led by GV in Oct 2023 (additional investors include Venrock, Rucker Park, Room40 Ventures, and Craft Ventures). Scope3 has significant market traction with more than 70+ customers and is experiencing accelerated growth.

Scope3 is a fully remote company and largely asynchronous to provide flexible working hours and to operate globally, with concentrations in New York and Europe. At this time, we are hiring in Canada, Australia, UK, France, Germany, and the United States.

The Role

We are looking for an experienced Data Science Lead to drive our data science initiatives and deliver impactful insights that inform strategic decision-making and fuel product innovation. A key focus for this position will be on continuously enhancing and monitoring the accuracy and robustness of our digital twin model. You will collaborate with cross-functional teams and leverage advanced analytical techniques to tackle complex business and modeling challenges. We value an action-oriented mindset and the ability to work autonomously, as well as recognizing that simplicity can often yield the most effective solutions. Ideally, we are looking to hire for this position in Europe or the US, Eastern time zone.

Key Responsibilities

Manage the complete data science project lifecycle: from defining problems and collecting data to deploying models and monitoring their performance.
Employ sophisticated statistical analysis methods, including Monte Carlo simulations and Sensitivity Analysis, to improve the accuracy and robustness of our digital twin model.
Partner closely with product, engineering, and business teams to translate business requirements into actionable data science solutions, ensuring insights are accessible and impactful.
Shape the company’s overall data strategy and contribute to data-driven product innovation and thought leadership.
Develop metrics to assess model performance and effectiveness, and continuously monitor and refine models post-deployment.
Present findings and recommendations clearly to both technical and non-technical stakeholders, adapting communication styles to suit different audiences.
Stay updated on industry trends, emerging technologies, and best practices in data science, encouraging experimentation with new tools and techniques among the team.
Guide and mentor fellow data scientists, promoting a culture of innovation and ongoing learning.

Your Expertise

8+ years in data science with a strong background in machine learning, statistical analysis, and data modeling.
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field; a Master’s or Ph.D. is preferred.
Proficient in programming languages such as Python or R, with experience in data manipulation libraries (e.g., Pandas, NumPy, Scikit-learn).
Experience with SQL and familiarity with data warehousing solutions (e.g., BigQuery, Snowflake).
Proficient with collaborative cloud notebooks for data science.
Familiar with frameworks such as TensorFlow or PyTorch and data visualization tools (e.g., Tableau, Matplotlib).

Nice to Have

Experience with digital twin models.
Familiarity with the ad tech industry.
Expertise in large-scale distributed data processing frameworks such as Spark.

#LI-DNI

Our Culture is rooted in …

A passion for the environment and climate work. We are a mission-driven company, and this is what motivates us to work hard and deliver outcomes for our customers.
A desire to communicate clearly and empathetically while working asynchronously. We are remote-first and have been operating across time zones from day one, so we do a lot of collaboration using Notion, Miro, and other tools.
We celebrate healthy conflict in the workplace; we focus on the solutions and we move on quickly.
The ability and accountability to deliver what we promise. We do what we say we will do, and we don’t make promises we can’t keep.
Experience driving systemic change. Our mission is to decarbonize advertising and this requires a holistic approach to re-imagining and inspiring an industry movement at a global scale.

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