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- Tasks: As a Data Scientist, you'll analyze complex datasets to drive innovative solutions.
- Company: Join a top 5 tech giant that connects billions through popular social media platforms.
- Benefits: Enjoy remote work flexibility and a competitive pay rate of £41.35 p/h.
- Why this job: Be part of a dynamic team creating impactful products and enhancing user experiences.
- Qualifications: Master's degree in computer science or relevant field; experience with Python, R, or big data tools required.
- Other info: This is a 12-month contract role with opportunities for professional growth.
The predicted salary is between 60000 - 84000 £ per year.
Data Scientist
Location: UK Remote
Length: 12 Months
Rate: From £41.35 p/h PAYE + (Approx. £86K per annum)
Hours: 9am-6pm
This client is a top 5 tech giant and owner of some of the world’s most popular social media platforms and instant messaging apps, connecting billions of people across the globe.
Job Description:
Summary:
The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.
Job Responsibilities:
• Apply knowledge of statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
• Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
• Generate and test hypotheses and analyse and interpret the results of product experiments.
• Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
• Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.
Skills:
• Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau.
• The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
• Experience working with large datasets.
Education/Experience:
• Master of Science degree in computer science or in a relevant field.
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Data Scientist employer: Career Moves Group
Contact Detail:
Career Moves Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the specific tools and technologies mentioned in the job description, such as Python, R, Hadoop, and Tableau. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Highlight any experience you have with exploratory data analysis and predictive modeling. Be prepared to discuss specific projects where you've successfully identified patterns or made data-driven decisions that led to product improvements.
✨Tip Number 3
Since this role involves collaboration with product engineers, emphasize your teamwork skills and any past experiences where you've worked cross-functionally. Being able to communicate complex data insights effectively will be crucial.
✨Tip Number 4
Stay updated on the latest trends in data science and machine learning. Mentioning recent advancements or techniques you've learned about can demonstrate your passion for the field and your commitment to continuous learning.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, programming languages like Python or R, and any work with big data tools. Emphasize your skills in statistics, machine learning, and data visualization.
Craft a Strong Cover Letter: In your cover letter, express your passion for data science and how your background aligns with the responsibilities outlined in the job description. Mention specific projects or experiences that demonstrate your ability to analyze complex datasets and develop predictive models.
Showcase Your Technical Skills: Include specific examples of your proficiency with tools such as Hadoop or Tableau. If you have experience generating hypotheses and analyzing product experiments, be sure to mention that as well.
Highlight Communication Skills: Since effective communication is key for this role, provide examples of how you've successfully conveyed complex information in writing. This could include reports, presentations, or documentation related to your data analysis work.
How to prepare for a job interview at Career Moves Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python or R, as well as any big data tools you've used, such as Hadoop. Highlight specific projects where you applied these skills to solve complex problems.
✨Demonstrate Your Analytical Thinking
Expect questions that assess your ability to analyze data and generate insights. Prepare examples of how you've used exploratory data analysis to identify patterns or opportunities in past projects.
✨Communicate Complex Ideas Clearly
Since effective communication is key, practice explaining your technical work in simple terms. Be ready to discuss how you would convey complex information to non-technical stakeholders.
✨Prepare for Hypothesis Testing Scenarios
Familiarize yourself with the process of generating and testing hypotheses. Be ready to discuss a time when you conducted an experiment, analyzed the results, and how it influenced product development.
