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For Companies At a Glance
- Tasks: Analyse data, design algorithms, and generate insights for business improvements.
- Company: Join a dynamic team focused on leveraging data for impactful decisions.
- Benefits: Enjoy flexible work options and opportunities for professional growth.
- Why this job: Be part of a culture that values learning and innovation in data science.
- Qualifications: Bachelor's degree in a quantitative field and 1-2 years of relevant experience required.
- Other info: Fluency in programming languages and familiarity with Big Data tools is essential.
The predicted salary is between 30000 - 50000 £ per year.
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities
- Analyze raw data: assessing quality, cleansing, structuring for downstream processing
- Design accurate and scalable prediction algorithms
- Collaborate with engineering team to bring analytical prototypes to production
- Generate actionable insights for business improvements
Qualifications
- Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- At least 1 - 2 years' of experience in quantitative analytics or data modeling
- Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
- Fluency in a programming language (Python, C, C++, Java, SQL)
- Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
Científico de datos employer: Evertreen
Contact Detail:
Evertreen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Científico de datos
✨Tip Number 1
Make sure to showcase your collaboration skills during the interview. Prepare examples of how you've worked with engineering teams or other departments to solve complex data problems, as this is crucial for the role.
✨Tip Number 2
Brush up on your knowledge of predictive modelling and machine learning techniques. Be ready to discuss specific algorithms you've implemented in past projects and the impact they had on business outcomes.
✨Tip Number 3
Familiarise yourself with the Big Data frameworks mentioned in the job description. If you have experience with tools like Hadoop or Spark, prepare to discuss how you've used them to handle large datasets effectively.
✨Tip Number 4
Think about how you can generate actionable insights from data. Be prepared to share examples of how your analyses have led to tangible improvements in previous roles, as this will demonstrate your ability to add value to our team.
We think you need these skills to ace Científico de datos
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative analytics and data modelling. Emphasise your skills in predictive modelling, machine learning, and any relevant programming languages like Python or SQL.
Craft a Strong Cover Letter: In your cover letter, express your passion for data and learning. Mention specific projects where you've successfully analysed complex data sets and collaborated with teams to implement solutions.
Showcase Relevant Experience: Detail your previous roles that align with the responsibilities listed in the job description. Include examples of how you've designed algorithms or generated actionable insights that led to business improvements.
Highlight Technical Skills: Clearly list your technical skills, especially your familiarity with Big Data frameworks and visualisation tools. This will demonstrate your capability to handle the technical demands of the role.
How to prepare for a job interview at Evertreen
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis and predictive modelling. Bring examples of past projects where you successfully extracted insights from complex data sets, as this will demonstrate your ability to handle the responsibilities of the role.
✨Demonstrate Collaboration
Since collaboration with the engineering team is key, think of instances where you've worked in a team setting. Highlight how you communicated your findings and how you contributed to bringing analytical prototypes to production.
✨Brush Up on Technical Skills
Make sure you're comfortable discussing the programming languages and tools mentioned in the job description. Be ready to answer technical questions or even solve problems on the spot, showcasing your fluency in Python, SQL, or any relevant frameworks.
✨Prepare Insightful Questions
At the end of the interview, you'll likely have the chance to ask questions. Prepare thoughtful queries about the company's data strategy, the challenges they face, or how they measure success in their data initiatives. This shows your genuine interest in the role and the company.
