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- Tasks: Join a stealth-mode start-up as a Data Scientist, driving data-driven decisions and predictive analytics.
- Company: Be part of an innovative start-up focused on cutting-edge web and mobile platforms.
- Benefits: Enjoy equity-only compensation with future salary potential, remote work, and flexible hours.
- Why this job: This role offers the chance to solve complex problems and impact user experiences significantly.
- Qualifications: Requires a degree in Data Science or related field and 3+ years of relevant experience.
- Other info: Interviews start in February 2025; ideal for those passionate about data science and innovation.
The predicted salary is between 36000 - 60000 £ per year.
PLEASE NOTE THIS IS AN EQUITY-ONLY ROLE AND THE INTERVIEWS WILL COMMENCE IN FEBRUARY 2025.
Stealth-Mode Start-Up Client is seeking an innovative Data Scientist to drive data-driven decision-making, predictive analytics , and algorithm development for a cutting-edge web and mobile platform . This role will report to the VP of Data & Analytics, and focus on analyzing large datasets , building predictive models , and uncovering actionable insights to enhance platform performance, optimize user experiences, and support strategic growth initiatives.
The ideal candidate will have a passion for solving complex problems through data , a deep understanding of statistical modelling and machine learning techniques , and the ability to translate findings into clear, actionable strategies .
Key Responsibilities:
- Develop statistical and predictive models to identify trends, forecast user behaviour, and drive strategic decision-making.
- Build and deploy machine learning algorithms for tasks such as user segmentation, recommendation systems, fraud detection, and trend forecasting.
- Analyze and process large, complex datasets to extract valuable insights and identify areas for optimization.
- Design and analyze A/B experiments to evaluate the impact of platform features and user experience enhancements.
- Work closely with Product Managers, Engineers, and Analysts to align data science initiatives with product and business goals.
- Develop dashboards and performance tracking systems to monitor key metrics and ensure continuous improvement.
- Create clear and compelling data visualizations to communicate findings to technical and non-technical stakeholders.
- Continuously refine and optimize existing algorithms to improve accuracy, efficiency, and scalability.
- Stay updated with emerging AI and data science trends and propose new methodologies to improve data insights and model performance.
- Maintain detailed technical documentation for models, algorithms, and analytical workflows.
Requirements:
- A degree in Data Science, Computer Science, Statistics, Mathematics , or a related field.
- Minimum 3+ years of experience as a Data Scientist or in a similar analytical role.
- Excellent command of the English Language in all forms.
- Previous start-up experience would be an advantage.
- Proficiency in programming languages such as Python, R , or Scala for data analysis and model building.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proficiency in SQL for querying large datasets.
- Familiarity with tools like Spark, Hadoop , or cloud data warehouses (e.g., BigQuery, Redshift).
- Strong understanding of statistical modelling, hypothesis testing , and A/B testing methodologies .
- Experience with tools such as Tableau, Looker , or Power BI .
- Strong analytical mindset with a focus on actionable insights and business impact .
- Ability to translate complex data findings into clear, understandable insights for diverse audiences.
Ideal Candidate Profile:
- A curious problem-solver who thrives on turning complex data into clear, actionable insights .
- Passionate about leveraging data science to drive product innovation and improve user experiences.
- Detail-oriented, with a strong focus on accuracy, reproducibility , and scalability of data models.
- Adaptable to changing priorities in a dynamic startup environment.
- Proactive in proposing new methodologies and approaches to improve analytics and forecasting capabilities.
- Continuously learning and staying ahead of emerging trends in AI and data science .
Compensation & Benefits:
Equity-only at present, to transition to a salaried, full-time permanent position when funding is secured.
Remote and flexible working arrangements, the opportunity to be part of something potentially epic with potential opportunities for global travel, and access to industry conferences and workshops in due course.
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Data Scientist - Equity Only employer: Rosie's People
Contact Detail:
Rosie's People Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Equity Only
✨Tip Number 1
Familiarize yourself with the latest trends in AI and data science. This role emphasizes staying updated, so being able to discuss recent advancements or methodologies during your interview will show your passion and commitment to the field.
✨Tip Number 2
Prepare to discuss your experience with statistical modeling and machine learning techniques. Be ready to provide examples of how you've applied these skills in previous roles, especially in a startup environment where adaptability is key.
✨Tip Number 3
Think about how you can translate complex data findings into actionable insights. Practice explaining your past projects in a way that highlights your ability to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Showcase your curiosity and problem-solving skills. Prepare to discuss specific challenges you've faced in data analysis and how you approached them, as this aligns with the ideal candidate profile they are looking for.
We think you need these skills to ace Data Scientist - Equity Only
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Highlight your relevant experience in data science, predictive modeling, and machine learning in your application.
Tailor Your CV: Customize your CV to emphasize your skills in statistical modeling, programming languages like Python or R, and any experience with machine learning frameworks. Include specific examples of projects where you developed algorithms or analyzed large datasets.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and problem-solving. Discuss how your background aligns with the company's goals and how you can contribute to their innovative platform.
Showcase Your Projects: If applicable, include links to your portfolio or GitHub repository where you have shared relevant projects. This could include predictive models, data visualizations, or any A/B testing experiments you've conducted.
How to prepare for a job interview at Rosie's People
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples of how you've tackled complex data problems in the past. Highlight your analytical mindset and how you translated data findings into actionable insights.
✨Demonstrate Technical Proficiency
Make sure to showcase your experience with programming languages like Python or R, as well as your familiarity with machine learning frameworks. Be ready to discuss your approach to building predictive models and algorithms.
✨Understand the Start-Up Environment
Since this role is in a stealth-mode start-up, emphasize your adaptability and experience in dynamic environments. Share how you've thrived in previous start-up roles and your proactive approach to proposing new methodologies.
✨Communicate Clearly
Prepare to explain complex data concepts in simple terms. Practice how you would present your findings to both technical and non-technical stakeholders, ensuring that your communication is clear and compelling.
