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- Tasks: Lead data science projects to enhance global supply chain forecasting and efficiency.
- Company: Join ON.com, a leader in innovative supply chain solutions.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic environment focused on cutting-edge technology.
- Why this job: Make a significant impact using data and AI in a high-performing team.
- Qualifications: 5+ years in data science, expertise in Python, SQL, and Time Series Models.
The predicted salary is between 70000 - 90000 £ per year.
ON.com is looking for a Lead Data Scientist specialized in Supply Chain Forecasting to enhance global product movement efficiency. The role involves utilizing advanced modelling techniques to improve forecasting accuracy and deploying machine learning pipelines.
Candidates should have:
- 5+ years in data science
- Expertise in Python and SQL
- Experience with Time Series Foundation Models
A Master’s or Ph.D. in a quantitative field is also required. Join a high-performing team dedicated to leveraging data and AI for supply chain enhancements.
Lead Data Scientist: Global Supply Chain Forecasting employer: ON.com
Contact Detail:
ON.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist: Global Supply Chain Forecasting
✨Tip Number 1
Network like a pro! Reach out to professionals in the supply chain and data science fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best projects, especially those involving forecasting and machine learning. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice common data science problems and be ready to explain your thought process clearly. We want to see how you tackle challenges!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Scientist: Global Supply Chain Forecasting
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially with Python, SQL, and Time Series Foundation Models. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about supply chain forecasting and how your background makes you the perfect fit for our team. Let us know what excites you about working with data and AI.
Showcase Your Achievements: When detailing your experience, focus on specific achievements rather than just responsibilities. We love to see quantifiable results, so if you’ve improved forecasting accuracy or deployed successful machine learning pipelines, make sure to highlight those!
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 our high-performing team!
How to prepare for a job interview at ON.com
✨Know Your Data Science Fundamentals
Brush up on your data science basics, especially around forecasting and machine learning. Be ready to discuss your experience with Python and SQL, as well as any specific projects where you’ve applied Time Series Foundation Models.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical supply chain scenarios during the interview. Think about how you would approach improving forecasting accuracy and be ready to explain your thought process clearly.
✨Demonstrate Team Collaboration
Since this role is part of a high-performing team, highlight your experience working collaboratively. Share examples of how you’ve successfully partnered with others to leverage data and AI for project success.
✨Ask Insightful Questions
Prepare thoughtful questions about ON.com’s current supply chain challenges and how they envision the role of a Lead Data Scientist. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.