Senior Statistician

Title: Senior Statistician

Location: New York, NY

Job Description: M Science is looking for a Senior Statistician to join their growing Data Science team in NYC. This individual will ideally be an expert in advanced statistical and predictive modeling techniques that will help make smarter decisions and deliver better products across the business. Being part of a small-mid sized team, this person will be a major player in shaping the future of Data Science, Machine Learning and Artificial Intelligence within the firm and will have ample opportunities to influence the growth of the company moving forward.



  • Lead Discovery processes with stakeholders to identify the product requirements and the expected outcome
  • Plan, develop, and apply leading edge quantitative tools and modeling techniques to help clients gain insights and improve decision making
  • Review internal and external analytical techniques, identify what data is available and relevant, source the necessary data
  • Processing, cleansing, and verifying the integrity of data used in analysis
  • Validate hypotheses using scenario modeling
  • Collaborate with data engineers and developers to develop and deploy solutions
  • Write research reports describing the experiment conducted, statistical analysis that was used, and conclusions that were gained
  • Make strategic recommendations to technology teams, product teams and senior management


Skills and Qualifications:


  • A Master’s or PHD in statistics is preferred
  • Solid knowledge of statistical techniques
  • Experience creating/deploying models and algorithms to understand unstructured data
  • Basic level understanding of software engineering/coding (using R/python preferably)
  • Survey data, panel dynamics, and large-scale data processing experience is a plus
  • Eager/motivated individuals
  • Strong knowledge in statistical methods and machine learning


2018 Benzinga Award Winner
M Science is proud to be named Benzinga's 2018 winner for the category of Finding Alpha Through Alternative Data. Read More