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
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Create performance reports, metrics, and testing strategies, and convert results into practical suggestions.
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To guarantee that models maintain accuracy and dependability at scale, support production machine learning activities, such as feature generation, model training, and monitoring.
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To promote shared learning and ongoing development, record findings and share insights with internal teams.
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To guarantee openness and compliance, keep model documentation current and assist model governance procedures.
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Keep up with applicable machine learning industry trends.
Who You Are:
• Constantly considering the final answer
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Capable of explaining complex ideas to a non-technical audience
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Capable of establishing solid cross-functional connections
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Inherently interested and skilled at posing challenging queries
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A strong grasp of fundamental machine learning concepts, including feature engineering, supervised learning, and model evaluation
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A cooperative individual. You think that when the proper individuals collaborate, great things can happen.
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Quick to pick things up
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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
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Proficient in handling highly imbalanced datasets and developing production-level Machine Learning models, particularly focused on tree-based models
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Highly skilled in scripting languages such as Python and in querying languages such as SQL
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Demonstrated capacity to manage and analyze large-scale data (handling billions of records)
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Background in creating metrics and dashboards
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Capable of conveying their results clearly to both technical and nontechnical individuals
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A person who represents their values: take risks, be resourceful, work together, and appreciate our diversity
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You possess experience in a role that requires strong analytical skills within dynamic settings
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Should reside in the Greater New York City area
Nice to Have:
• Prior background in identifying financial fraud
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Postgraduate qualification (Masters or PhD) in a quantitative discipline
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Proficient in overseeing the complete lifecycle of a technical pilot or Proof of Concept
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Familiarity with business intelligence tools such as Looker
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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
