At a Glance
- Tasks: Lead quantitative analysis projects and utilise data mining to enhance employee data strategies.
- Company: Join Workday, a leader in commercial data science with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with diverse teams and exciting career advancement opportunities.
- Why this job: Make a real impact by solving complex challenges with data-driven insights.
- Qualifications: 3+ years of experience, proficiency in Python, SQL, R, and a technical degree.
The predicted salary is between 50000 - 60000 £ per year.
Workday is seeking a Product Data Scientist to join the Commercial Data Science team. The role involves leading quantitative analysis projects, utilizing statistical analysis and data mining to help customers maximize the strategic impact of their employee data.
The ideal candidate will have 3+ years of experience in a commercial environment, proficiency in Python, SQL, and R, and possess a technical degree. This position will require collaboration across multiple teams to solve complex customer challenges.
Product Data Scientist - Engagement Analytics employer: Workday
Workday is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for a Product Data Scientist to thrive. With a strong emphasis on employee growth and development, team members are encouraged to enhance their skills through continuous learning opportunities. Located in a vibrant area, Workday offers unique advantages such as flexible working arrangements and a commitment to work-life balance, ensuring that employees can make a meaningful impact while enjoying a rewarding career.
StudySmarter Expert Advice🤫
We think this is how you could land Product Data Scientist - Engagement Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Workday. A friendly chat can open doors and give you insights that might just set you apart from the competition.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, SQL, and R. This is your chance to demonstrate your analytical prowess and how you've tackled real-world problems.
✨Tip Number 3
Prepare for the interview by brushing up on your statistical analysis techniques. Be ready to discuss how you've used data mining to drive decisions in past roles. We want to see your thought process!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Workday.
We think you need these skills to ace Product Data Scientist - Engagement Analytics
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in quantitative analysis and data mining. We want to see how your skills in Python, SQL, and R can shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for the Product Data Scientist role. Share specific examples of how you've tackled complex challenges in previous roles and how you can bring that expertise to our team.
Showcase Collaboration Skills:Since this role involves working with multiple teams, highlight any past experiences where you’ve successfully collaborated with others. We love seeing how you can work together to solve problems and drive results!
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’s super easy – just follow the prompts!
How to prepare for a job interview at Workday
✨Know Your Data Tools
Make sure you brush up on your Python, SQL, and R skills before the interview. Be ready to discuss specific projects where you've used these tools to solve real-world problems. This will show that you not only know the theory but can apply it effectively.
✨Quantitative Analysis Examples
Prepare a couple of examples from your past experience where you led quantitative analysis projects. Highlight the challenges you faced, the methodologies you used, and the impact your work had on the business. This will demonstrate your ability to handle complex customer challenges.
✨Collaboration is Key
Since this role involves working across multiple teams, think of instances where you've successfully collaborated with others. Be ready to share how you communicated your findings and worked together to achieve common goals. This shows you're a team player, which is crucial for this position.
✨Understand Workday's Mission
Do some research on Workday and its mission. Understand how they leverage employee data to drive strategic decisions. Being able to articulate how your skills align with their goals will set you apart and show your genuine interest in the company.
