Quantitative Analyst II
AffirmFull Time
Mid-level (3 to 4 years)
Candidates must possess a Bachelor's or Master's degree in a quantitative field such as Statistics, Applied Math, Physics, or Engineering. A minimum of 3-5 years of hands-on data science experience is required, including work with large-scale structured and unstructured data, and a demonstrated ability to excel as an individual contributor with complete project ownership. Exceptional SQL and Python programming skills are essential, along with experience using Google BigQuery and data visualization tools like Tableau, Looker, or Sigma. Familiarity with experimentation, causal inference, or forecasting techniques is also necessary.
The Data Scientist will lead the design, implementation, and maintenance of data science workflows and pipelines, conducting advanced analysis on extensive datasets to derive actionable insights. They will collaborate with cross-functional teams including product, engineering, operations, and design to align business goals with data-driven solutions. Responsibilities include transforming complex analyses into clear narratives and visualizations for decision-making, playing a key role in product experimentation, opportunity analyses, and metric development, and delivering value iteratively in a fast-paced environment.
AI-driven matching of businesses with engineers
Turing provides tech services by using artificial intelligence to connect businesses with skilled software engineers for custom application development and on-demand engineering needs. The company has a large pool of over 3 million vetted engineers from 150 countries, allowing businesses to quickly find the right talent for their projects. When a company needs a developer, they specify the required skills, and Turing's AI matches them with the best candidates, streamlining the recruitment process and helping companies complete projects faster. Turing also supports engineers by offering access to high-paying remote job opportunities in the U.S., with a high rematch rate ensuring job stability. The goal of Turing is to enhance recruitment efficiency for businesses while providing valuable job opportunities for engineers.