Senior Data Scientist – New York (Hybrid) – Competitive Salary + Competitive Package + Opportunity to with a Series C Fintech Unicorn!
About this role
Employer-provided description, formatted for easier reading.
**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 richard@weareorbis. com