Senior Data Scientist – New York (Hybrid) – 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]