Scope3 is hiring a
Data Science Lead

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Scope3

💵 ~$150k-$160k
📍Remote - United States

Summary

Join Scope3, the industry's leading collaborative sustainability platform, as a Data Science Lead to drive data science initiatives and deliver impactful insights that inform strategic decision-making and fuel product innovation.

Requirements

  • 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)

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

Preferred Qualifications

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

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