Data Scientist

Snap Finance is seeking a Data Scientist II to strengthen its analytics department. The ideal candidate has a passion for statistics, machine learning, and solving real-world problems with robust data. The role involves working with large datasets, predictive modeling, and delivering insightful recommendations to stakeholders.

Requirements

• 3-5 years of experience in data science or a related field
• M.S. in quantitative fields such as Statistics, Econometrics, Mathematics, Physics, Computer Science, Quantitative Social Science, Quantitative Finance, or another related field
• Expertise in one or more modeling/machine learning programming languages such as R or Python
• Strong SQL skills and the ability to extract data from non-relational data sources
• Experience with a variety of data structures and databases (SQL, no-SQL, graph, etc.)
• Knowledge about Big Data related techniques (e.g., Map-Reduce, Hadoop, Hive, Apache Spark)

Benefits

• Generous paid time off
• Competitive medical, dental & vision coverage
• 401K with company match for US
• Company-paid life insurance
• Company-paid short-term and long-term disability
• Access to mental health and wellness resources
• Company-paid volunteer time to do good in your community
• Legal coverage and other supplemental options