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- Tasks: Join us as a Data Scientist, focusing on product analytics and collaboration with teams.
- Company: We're a dynamic company in London offering remote work options for innovative minds.
- Benefits: Enjoy flexible working arrangements and the chance to make a real impact.
- Why this job: This role offers hands-on experience in data analysis and storytelling, perfect for aspiring data professionals.
- Qualifications: Proficiency in SQL, Python, and experience with A/B testing are essential.
- Other info: This is a contract role for 7-8 months, ideal for those seeking short-term opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Contract Role - Data Scientist - London/Remote - 8 Months Initial - Inside IR35 PAYE
We are seeking a skilled Data Scientist who has more of a Product Analytics background, working in partnership with product and engineering teams to deliver product outcomes rather than someone who has spent a lot of time building ML models.
Role Overview:
- Define and Establish Metrics
- Support Experimentation and Opportunity Sizing
- Develop Roadmap
- Identify and Address Performance Gaps
- Collaborate on Executive Data Presentations
- Extract Insights and Present to Director
Ideal Candidate Profile:
- Proficient in hands-on data analysis with the ability to write complex queries.
- Experienced in data visualization and storytelling to convey insights effectively to stakeholders.
- Skilled in collaborating with cross-functional teams to drive product improvements.
Required Qualifications:
- Performing quantitative analysis including data mining on highly complex data sets.
- Data querying language: SQL
- Scripting language: Python
- Statistical or mathematical software including one of the following: R, SAS, or Matlab
- Applied statistics or experimentation, such as A/B testing, in an industry setting
- Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics
- Good education background
Top 3 must-have HARD skills:
- SQL
- Experimentations for user facing products
- Narrative excellence
- Worked cross functionally, influencing skills
Good to have skills:
- Python / R
Contact Detail:
Gibbs Hybrid Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the specific metrics and KPIs relevant to product analytics. Understanding how these metrics impact product outcomes will help you demonstrate your value during discussions with potential employers.
✨Tip Number 2
Brush up on your SQL skills, as this is a must-have for the role. Consider working on real-world projects or datasets to showcase your ability to write complex queries that can extract meaningful insights.
✨Tip Number 3
Prepare examples of past collaborations with cross-functional teams. Highlight how your data analysis influenced product decisions and improvements, as this will resonate well with hiring managers looking for team players.
✨Tip Number 4
Practice your storytelling skills when it comes to data visualisation. Being able to convey insights effectively to stakeholders is crucial, so consider creating a portfolio of visualisations that tell a compelling story about your findings.
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 collaboration with product and engineering teams. Emphasise your skills in SQL, Python, and any relevant statistical software.
Craft a Compelling Cover Letter: In your cover letter, focus on your hands-on data analysis experience and how you've used data visualisation to tell stories that drive product improvements. Mention specific projects where you influenced outcomes.
Showcase Relevant Projects: Include examples of past projects where you performed quantitative analysis or A/B testing. Detail the metrics you established and how your insights led to actionable changes.
Highlight Cross-Functional Collaboration: Demonstrate your ability to work cross-functionally by providing examples of how you've collaborated with different teams. This could include how you presented data insights to stakeholders or contributed to executive presentations.
How to prepare for a job interview at Gibbs Hybrid
✨Showcase Your Product Analytics Experience
Make sure to highlight your background in product analytics during the interview. Discuss specific projects where you collaborated with product and engineering teams to drive outcomes, as this aligns closely with what the company is looking for.
✨Demonstrate Your Data Storytelling Skills
Prepare to present a case study or example where you effectively communicated insights through data visualisation. Use storytelling techniques to convey how your findings influenced decision-making, as narrative excellence is a key requirement.
✨Be Ready to Discuss Experimentation Techniques
Since the role involves experimentation, be prepared to discuss your experience with A/B testing and other quantitative analysis techniques. Share examples of how you've used these methods to improve user-facing products.
✨Familiarise Yourself with SQL and Python
Brush up on your SQL and Python skills before the interview. Be ready to answer technical questions or even solve problems on the spot, as proficiency in these languages is crucial for the role.
