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- Tasks: Lead and scale a high-performing Data Science team in AI innovation.
- Company: Join a forward-thinking company at the forefront of machine learning.
- Benefits: Competitive salary, relocation support, and opportunities for professional growth.
- Why this job: Make a significant impact in AI while living in vibrant Dubai.
- Qualifications: 10+ years in data science with strong leadership and technical skills.
- Other info: Dynamic role with a focus on cutting-edge technology and innovation.
The predicted salary is between 72000 - 108000 £ per year.
This role requires relocation to Dubai.
About the Role
We are seeking a Head of Data Science to lead and scale our Data Science team. This is a senior leadership role at the intersection of cutting-edge AI innovation and high-impact production systems. You will be managing a central team including managers, Data Scientists, ML and software engineers across multiple pillars, including Personalisation & Search, Recommendation, AI optimisation, GenAI and ML platform.
Key Responsibilities
- Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritisation of product, growth and optimisation initiatives.
- Lead, mentor, and grow a high-performing team of data scientists focused on algorithm development, machine learning, experimentation and advanced analytics.
- Partner with Product, Engineering, and Design to integrate solutions into scalable, production-grade systems and customer-facing experiences.
- Champion data-driven decision-making, ensuring that product and strategy decisions are informed by rigorous quantitative analysis.
- Drive innovation by staying current with emerging research, technologies, and industry best practices in algorithms, optimisation, and applied machine learning.
Qualifications
- 10+ years of progressive experience in data science, machine learning, optimisation, or causal inference, including building and deploying algorithms in production systems.
- 3+ years of people management experience leading high-performing technical teams, with a proven ability to mentor, develop, and retain top talent.
- Deep expertise in machine learning, experimental design, causal inference, and statistical methodologies, with a track record of applying them to high-stakes product or marketplace decisions.
- Experience in algorithm development and prototyping, and with productionizing algorithms for real-time systems.
- Experience navigating complex, ambiguous problem spaces and guiding teams through prioritisation, tradeoffs, and execution.
- Strong communication and influence skills, with the ability to engage both technical and executive stakeholders, align priorities, and build consensus.
- Strong analytical skills, with experience in extracting user behaviour insights from large datasets.
Head of Machine Learning [Dubai based] Search, Recommendations, Ranking employer: Talent Seed
Contact Detail:
Talent Seed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Machine Learning [Dubai based] Search, Recommendations, Ranking
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and data science. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your past experiences in detail. Remember, confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace Head of Machine Learning [Dubai based] Search, Recommendations, Ranking
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that match the Head of Machine Learning role. Highlight your leadership experience and any relevant projects in data science and machine learning to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for AI innovation and how your background aligns with our mission at StudySmarter. Be genuine and let your personality shine through!
Showcase Your Achievements: When detailing your experience, focus on quantifiable achievements. Did you lead a project that improved algorithm performance? Tell us about it! Numbers and results speak volumes and help us see the impact you've made.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Talent Seed
✨Know Your Stuff
Make sure you brush up on the latest trends in machine learning and data science. Be ready to discuss your experience with algorithms, optimisation, and how you've applied these in real-world scenarios. This role is all about cutting-edge AI, so showing that you're up-to-date will impress the interviewers.
✨Showcase Your Leadership Skills
Since this is a senior leadership role, be prepared to talk about your experience managing teams. Share specific examples of how you've mentored data scientists and fostered a high-performing team culture. Highlight your ability to guide teams through complex problem-solving and decision-making processes.
✨Communicate Clearly
Strong communication skills are key for this position. Practice explaining complex technical concepts in simple terms, as you'll need to engage both technical and executive stakeholders. Think about how you can align priorities and build consensus during discussions.
✨Prepare for Scenario Questions
Expect questions that ask you to navigate ambiguous situations or prioritise competing initiatives. Prepare some examples from your past experiences where you successfully tackled such challenges. This will demonstrate your analytical skills and ability to drive data-driven decision-making.