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Data Scientist

2 months ago

New London, Connecticut, United States Lifelancer Full time
About the Role

We are a team of analytical and technical experts from a range of backgrounds bound by the drive to use our expertise to have social impact.

Key Responsibilities
  • Deliver data-driven projects that advance Nesta's missions ranging from research and analysis to model development;
  • Design and scope projects in collaboration with technical colleagues, domain experts, and practitioners from other disciplines;
  • Communicate outputs of your work to a wide range of internal and external audiences;
  • Alongside specialists in the Data Science Practice, ensure that all work takes advantage of data science to be reproducible, sustainable, and ethically considered;
  • Help the team stay at the cutting edge by keeping abreast of new techniques and developments in the field and seeking ways to use them;
Requirements
  • A Bachelor or Masters qualification in a relevant quantitative discipline and relevant experience in academia, industry, or public/third sector;
  • At least three years of relevant experience in academia, industry, or public/third sector;
  • Experience programming in Python;
  • Experience using data and evidence to drive better outcomes or business improvement;
  • Strong data analysis skills which might include machine learning, statistical methods, causal inference, or other techniques;
  • Willingness to be an active team member who collaborates with others and contributes to strengthening team connections;
  • Ability to design data science approaches that will solve problems and answer questions;
  • Ability to communicate with technical and non-technical stakeholders with evidence of clear and structured written outputs such as blogs, reports, or papers;
  • Experience using Git and GitHub (or equivalent) for version control;
Desirable
  • Domain knowledge in a field relevant to Nesta's mission;
  • Proven project management experience including the ability to lead projects and make decisions and prioritize tasks to keep projects on track and ensure outputs are of a high quality;
  • Experience delivering data science or analytics projects at pace;
  • Experience communicating findings with a range of stakeholders;
  • A degree of experience of data engineering methods such as scalable data collection (e.g. APIs, web scraping) data pipeline technologies (e.g. Airflow, Luigi, Metaflow) or database management systems (SQL or NoSQL);
  • Experience programming in R;
  • Line management or mentorship experience;