Klivvr

FinTech

SeniorDataScientist

$750–1500k ~AI est. Cairo, Egypt FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Scientist at Klivvr. Skills: Data Science, Applied ML, ML Systems. Own a domain end to end. Set modeling strategy”

Industry & Context.

FinTech
Problems you'll solve

Problem solving

What They're Looking For.

Must Have

5+ years data science experience, 5+ years applied ML experience, Track record of owning systems in production, Proficiency in Python, Proficiency in SQL, Software engineering fundamentals, Grounding in statistics, Grounding in probability, Grounding in machine learning, Experience designing ML systems on cloud platforms, Experience operating ML systems on cloud platforms, Demonstrated ability to lead ambiguous initiatives, Demonstrated ability to lead cross-functional initiatives, Ability to lead without close guidance, Excellent communication skills

Nice to Have

AWS preferred for cloud platforms, Ability to influence technical stakeholders, Ability to influence business stakeholders, Ability to make others better through feedback

What You'll Do.

Own a domain end to end

Set modeling strategy

Be accountable for systems

Take on ambiguous problems

Take on high-stakes problems

Frame what should be built

Frame why it should be built

Make hard technical calls

Defend hard technical calls

Choose simplest approach

Drive models into production

Own long-term health of models

Own performance of models

Own reliability of models

Set technical direction

Set standards for data scientists

Mentor data scientists

Translate business strategy

Create data science roadmap

Communicate tradeoffs to leadership

How You'll Work.

Team & Collaboration

Cross-functional initiatives; With leadership

Communication Scope

Communicate tradeoffs

Full Job Description

## Description We are hiring a Senior Data Scientist to join our team at Klivvr. ## What you'll do - Own a domain such as credit, risk, or growth end to end, setting the modeling strategy and being accountable for the systems that result.- Take on the most ambiguous, highest-stakes problems, including framing what should be built and why before any modeling begins.- Make and defend the hard technical calls, choosing the simplest approach that solves the problem rather than the most sophisticated one.- Drive models into production and own their long-term health, performance, and reliability once they're live.- Set technical direction and standards that other data scientists build on, through design reviews, shared tooling, and engineering practices.- Mentor data scientists across levels and raise the quality bar for the team's work.- Translate business strategy into a coherent data science roadmap and communicate tradeoffs clearly to leadership. ## To succeed in this role, you'll need to have - 5+ years of hands-on data science or applied ML experience, with a track record of owning systems in production end to end.- Deep proficiency in Python (NumPy, pandas, scikit-learn) and SQL, and strong software engineering fundamentals.- Strong grounding in statistics, probability, and machine learning, with the judgment to know which method actually fits the problem.- Experience designing and operating large-scale ML systems on cloud platforms (AWS preferred).- A demonstrated ability to lead ambiguous, cross-functional initiatives without close guidance.- Excellent communication skills, including the ability to influence technical and business stakeholders and to make others better through your feedback.

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