Sr. Data Scientist (Operations)

Job Description

• Lead initiatives to drive efficiency, scalability, and operational performance using AI/ML • Source, manage, and analyze large volumes of structured and unstructured data • Communicate/collaborate on results with key stakeholders • Heavy collaboration across data science, engineering, and analytics teams

Qualifications

• Bachelor’s or higher degree in quantitative field such Mathematics, Statistics, Computer Science, Engineering, Finance, Economics, Physical Sciences, or related technical field - Postgrad degree a plus • 7+ years of Data Science experience with 5-7 years of experience in fintech/finance • 3+ years of analytics management experience • Expertise with modeling techniques like NLU/NLP, GenAI, ANN, Decision Tree, and other statistical modeling techniques • Expert level proficiency and experience in Python and SQL • Familiarity with Google cloud services stack • Hands-on experience leveraging large sets of structured and unstructured data • Strong communication & collaboration skills • Proven ability to supervise and direct multiple data science projects

Benefits

• Flexible time off • Comprehensive health coverage • Competitive salary • Paid parental leave • Wellness benefits including access to mental health resources, virtual HIIT and yoga workouts • Other perks including Udemy access, childcare assistance, pet insurance discounts, legal assistance, and additional discounts