Sr Data Scientist - Data Analytics

Sr Data Scientist - Data Analytics


The Senior Data Scientist will help shape business strategy and product development decisions through data-driven insights. This is an exciting role for someone to make a direct impact on the risk, product, and revenue strategy of Lendistry. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: You know how to plow through data with SQL/Python/R/, surface insights using math/statistics/ML techniques, and measure the business impact using efficiency/conversion/profit metrics.


Lendistry is the country’s largest minority-led and technology-enabled small business and commercial real estate lender with Community Development Financial Institution (CDFI) and Community Development Entity (CDE) certification. We are a national employer whose mission is to provide economic opportunities and progressive growth for small business owners and their underserved communities as a source of financing and financial education.


  • Support the Analytics Department by leveraging data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to improve marketing strategy and reduce risk. 
  • As a member of Analytics Team, research and develop new methodologies and techniques to help marketing decision and risk management. 
  • Mine and analyze massive amount of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with sales opportunities and credit risks. 
  • Act as the technical owner of projects that may require significant customization of existing analytic tools, techniques, processes, or development of new ones. 
  • Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs. 
  • Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes. 


  • Excellent verbal and written communication skills.
  • Strong knowledge of 1 or more scripting and programming languages (R, Python, SQL, etc.)
  • Background in a variety modeling technique: GBM, logistic regression, clustering
  • Experience of Data ETL process is a plus
  • Sophisticated word processing and computer database skills, especially in Microsoft Word, PowerPoint and Excel.
  • Ability to think creatively and innovatively. 
  • Good interpersonal skills with the ability to work effectively with individuals and groups at all organizational levels, ability to work independently and as part of a team.
  • Complete other related duties as assigned and support the Company’s strategic initiatives.


  • MS/PHD degree in a quantitative field: engineering, math, statistics, finance etc.
  • 3+ years of experience in analytics and predictive modeling, preferably in the financial services industry
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