Data Scientist

HALA; Riyadh; On-site; SAR 200,000 - 300,000; Full time

Job summary

A growing tech company in Saudi Arabia is seeking a Data Scientist with 3-5 years of experience in AI and ML. You will contribute to the ML roadmap, design and deploy models, and collaborate cross-functionally. Strong skills in Python and SQL are essential. The role is full-time with a focus on innovation and includes competitive compensation and opportunities for professional development in a diverse team environment.

Benefits

Highly competitive compensation packages

Annual learning stipend

Inclusive and diverse culture

Qualifications

• 3-5 years of experience in a data science or applied ML role, ideally in FinTech or a high-growth startup.
• Strong skills in Python and SQL, experience with ML libraries.
• Excellent communication skills for data storytelling.

Responsibilities

• Contribute to the ML roadmap and prioritize AI/ML opportunities.
• Design, build, and deploy ML models.
• Collaborate with teams to enhance data collection practices.

Skills

Python

SQL

Machine Learning (ML) libraries

Data storytelling

Strategic mindset

Tools

scikit-learn

XGBoost

LightGBM

Job description

About the Role

We’re hiring a Data Scientist with 3–5 years of experience to help shape the future of AI and ML at HALA. You’ll be working closely with leadership to define the roadmap, uncover high‑impact use cases, and develop models that drive real business value. This role is ideal for someone who enjoys building from the ground up—bringing structure, experimentation, and vision to a space full of potential.

What You’ll Do

• Contribute to the ML Roadmap: Identify and prioritize AI/ML opportunities across key areas such as credit risk, fraud detection, customer acquisition, and churn prevention
• Prototype & Scale: Design, build, and deploy ML models that bring value to HALA, starting with rapid prototyping and scaling up based on impact
• Data Strategy: Collaborate with engineering, product, and business teams to improve data collection practices and ensure we’re capturing the right signals for modeling
• Upskill the Org: Act as a mentor to junior analysts and team members; contribute to building a data science culture through peer reviews, workshops, and knowledge‑sharing
• Cross‑Functional Collaboration: Work hand‑in‑hand with teams across the company to deeply understand their challenges and co‑create solutions that leverage data

What You Bring

• 3–5 years of experience in a data science or applied ML role, ideally in a FinTech or high‑growth startup environment
• Strong Python and SQL skills, and experience with ML libraries like scikit‑learn, XGBoost, LightGBM, or similar
• A strategic mindset: you’re comfortable identifying business opportunities, prioritizing impact, and navigating ambiguity
• Excellent communication and storytelling skills—you can turn data into action and rally teams around your ideas
• Experience (or interest) in working on use cases like credit scoring, fraud detection, or customer lifecycle modeling is a big plus

What We Offer You

• We have an inclusive and diverse culture that encourages innovation and flexibility in remote, in‑office, and hybrid work setups.
• We offer highly competitive compensation packages, including the potential for shares.
• We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper‑growth environment.
• Join a talented team of over 30 nationalities working in 7 countries and gain valuable experience in an exciting industry.
• We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.
• You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology