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- Tasks: Analyse product data to uncover trends and drive business improvements.
- Company: Join US Tech Solutions, a global leader in talent solutions.
- Benefits: Competitive pay, flexible work environment, and opportunities for growth.
- Why this job: Make an impact by turning data into actionable insights for real-world applications.
- Qualifications: Experience in product analytics, SQL proficiency, and strong communication skills.
- Other info: Fast-paced, collaborative environment with a focus on innovation.
The predicted salary is between 28800 - 48000 £ per year.
This range is provided by US Tech Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Job Type: 4 Month Contract
Responsibilities- Perform product analytics to identify trends, patterns, and opportunities for product or business improvements.
- Design, run, and analyze experiments to inform strategic decisions.
- Translate complex data findings into clear, compelling narratives for both technical and non-technical stakeholders.
- Apply causal inference techniques to measure the impact of product changes.
- Collaborate with cross-functional partners to deliver data-driven insights and recommendations.
- Proven experience in product analytics and experimentation.
- Strong proficiency in SQL and data manipulation.
- Excellent data storytelling and communication skills.
- Demonstrated experience with causal inference methods.
- Ability to thrive independently and collaboratively in a fast-paced environment.
- Advanced SQL skills (product-focused, data-driven).
- Experimentation design and analysis experience.
- Strong product analysis background.
- Security domain knowledge.
Data Scientist employer: US Tech Solutions
Contact Detail:
US Tech Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the hunt for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your product analytics projects, experiments, and data storytelling. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and causal inference techniques. Be ready to discuss your past experiences and how you've used data to drive decisions. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives you a better chance to stand out in the application process.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in product analytics and experimentation. We want to see how your skills align with the role, so don’t be shy about showcasing your SQL prowess and data storytelling abilities!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how your background makes you a perfect fit for our team. Remember, we love clear and compelling narratives!
Showcase Your Projects: If you've worked on relevant projects, make sure to mention them! Whether it's a cool experiment you designed or a product analysis that led to significant insights, we want to hear about it. Real-world examples can really set you apart.
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 a few clicks and you’re done!
How to prepare for a job interview at US Tech Solutions
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving product analytics. Be ready to discuss specific examples where you identified trends or patterns and how they led to business improvements. This will show your practical experience and understanding of the role.
✨Master SQL and Experimentation
Brush up on your SQL skills and be prepared to demonstrate your data manipulation abilities. You might be asked to solve a problem on the spot, so practice common SQL queries and experiment design scenarios to showcase your expertise.
✨Craft Your Data Story
Think about how you can translate complex data findings into compelling narratives. Prepare a few examples where you've successfully communicated insights to both technical and non-technical stakeholders. This will highlight your communication skills and ability to make data relatable.
✨Collaborate and Thrive
Be ready to discuss how you've worked with cross-functional teams in the past. Share experiences that demonstrate your ability to thrive both independently and collaboratively, especially in fast-paced environments. This will show that you're adaptable and a team player.
