Senior Data Scientist – New York – Competitive Salary + Competitive Package + Opportunity to with a Series C Fintech Unicorn!

Senior Data Scientist – New York (Hybrid) – Competitive Salary + Competitive Package + Opportunity to with a Series C Fintech Unicorn! This well-established FinTech are seeking an experienced Senior Data Scientist to come help build real-time machine learning systems at scale. This is an excellent opportunity for an experienced Senior Data Scientist to take the next step into a challenging position with a company offering significant growth potential. About the Company: Founded about a decade ago, they are now one the most well-known companies in their space. They are valued at $1.5bn having recently achieved unicorn status. They are consistently recognized as one of the best FinTech’s and start-ups to work for. Everything they do is entrenched in achieving engineering excellence. Their culture is not corporate, and they like to trust their employees to take on a lot of responsibility and have input into the shape of growth of the organisation. About the Senior Data Scientist Vacancy: You will work on progressing our core Machine Learning models whilst also partnering directly with customers to drive relevant outcomes. What You Will Do: • Participate in the creation, development, and assessment of machine learning models • Create performance reports, metrics, and testing strategies, and convert results into practical suggestions. • To guarantee that models maintain accuracy and dependability at scale, support production machine learning activities, such as feature generation, model training, and monitoring. • To promote shared learning and ongoing development, record findings and share insights with internal teams. • To guarantee openness and compliance, keep model documentation current and assist model governance procedures. • Keep up with applicable machine learning industry trends. Who You Are: • Constantly considering the final answer • Capable of explaining complex ideas to a non-technical audience • Capable of establishing solid cross-functional connections • Inherently interested and skilled at posing challenging queries • A strong grasp of fundamental machine learning concepts, including feature engineering, supervised learning, and model evaluation • A cooperative individual. You think that when the proper individuals collaborate, great things can happen. • Quick to pick things up • Be modest. Errors occur, and accepting responsibility for them enables us to grow and advance swiftly. Ideal Requirements for the Senior Data Scientist Vacancy: • Over 8 years of experience as an individual contributor in Applied Fraud Research, Data Science, or Machine Learning, demonstrating a successful history in a “Solutions” or client-oriented role • Proficient in handling highly imbalanced datasets and developing production-level Machine Learning models, particularly focused on tree-based models • Highly skilled in scripting languages such as Python and in querying languages such as SQL • Demonstrated capacity to manage and analyze large-scale data (handling billions of records) • Background in creating metrics and dashboards • Capable of conveying their results clearly to both technical and nontechnical individuals • A person who represents their values: take risks, be resourceful, work together, and appreciate our diversity • You possess experience in a role that requires strong analytical skills within dynamic settings • Should reside in the Greater New York City area Nice to Have: • Prior background in identifying financial fraud • Postgraduate qualification (Masters or PhD) in a quantitative discipline • Proficient in overseeing the complete lifecycle of a technical pilot or Proof of Concept • Familiarity with business intelligence tools such as Looker • Proficiency in working with graph structure modelling Apply to the Role: Roles like these are snapped up very quickly, so act now if you do not want to miss out! Reply to this advert or email your CV to [email protected]