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- Tasks: Join a dynamic start-up to enhance data infrastructure and build efficient data pipelines.
- Company: A Series A funded E-Commerce start-up where data drives every decision.
- Benefits: Earn up to £150k, enjoy meaningful equity, and work 3 days a week in London.
- Why this job: Be part of a fast-paced environment that values innovation and collaboration.
- Qualifications: 3+ years in Data Science with strong skills in Python, SQL, and AWS.
- Other info: Must be UK based; no visa sponsorship available.
The predicted salary is between 100000 - 150000 £ per year.
OB are partnered with a Series A funded, E-Commerce Start-Up looking for a highly talented Data Scientist to join their expanding Data function, where Data is at the heart of everything they do.
In this role, you'll build upon their existing Data Infrastructure, build Data Pipelines, whilst improving Data quality and warehouse efficiency whilst working with a variety of stakeholders across the business.
Required skills and experience:- Prior experience working in high-growth environments, ideally start-ups or scale-ups
- 3+ years of commercial experience in a Data Science role
- Strong skills with Python & SQL
- DBT, Snowflake & AWS
- Data Pipelines and BI expertise
- Experience working in high-growth, start-up & scale-up environments is highly preferred.
Pays £100k-£150k + meaningful equity and a great package. 3-days a week required in London based offices. To be considered, you must be UK based and Visa Sponsorship is not provided.
Senior Data Scientist - Series A Funding - Up to £150k employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Series A Funding - Up to £150k
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, SQL, DBT, Snowflake, and AWS. Having hands-on experience or projects showcasing these skills can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the start-up ecosystem, especially those who have experience in data science roles. Attend relevant meetups or webinars to connect with potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss your previous experiences in high-growth environments during interviews. Be ready to share specific examples of how you've contributed to data infrastructure improvements or pipeline efficiencies in past roles.
✨Tip Number 4
Research the company thoroughly, including their products, market position, and recent developments. This knowledge will not only help you tailor your responses but also demonstrate your genuine interest in joining their team.
We think you need these skills to ace Senior Data Scientist - Series A Funding - Up to £150k
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in high-growth environments, particularly in start-ups or scale-ups. Emphasise your skills in Python, SQL, and any relevant tools like DBT and Snowflake.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it aligns with the company's mission. Mention specific projects where you've built data pipelines or improved data quality to showcase your expertise.
Showcase Relevant Projects: If you have worked on significant projects related to data pipelines or BI, include them in your application. Use metrics to demonstrate the impact of your work, such as improvements in efficiency or data quality.
Highlight Stakeholder Collaboration: Since the role involves working with various stakeholders, mention any experience you have in collaborating with different teams. This could include cross-functional projects or instances where you communicated complex data insights effectively.
How to prepare for a job interview at Oliver Bernard
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python, SQL, and any experience with DBT, Snowflake, and AWS. Prepare examples of how you've used these tools in previous roles, especially in building data pipelines or improving data quality.
✨Demonstrate Start-Up Experience
Since the company is a Series A funded start-up, emphasise your experience in high-growth environments. Share specific challenges you faced in previous start-ups and how you contributed to their success.
✨Prepare for Stakeholder Interaction
This role involves working with various stakeholders. Be ready to discuss how you've effectively communicated complex data insights to non-technical team members in the past. This will show your ability to bridge the gap between data and business needs.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future plans. This not only shows your interest in the role but also helps you assess if the company aligns with your career goals and values.