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- Tasks: As a Data Scientist, you'll analyse complex datasets and develop innovative solutions.
- Company: Join a dynamic client based in London, leading the way in data-driven decision making.
- Benefits: Enjoy remote work flexibility and the chance to work on exciting projects.
- Why this job: This role offers hands-on experience with cutting-edge technology and impactful projects.
- Qualifications: A Master's degree in computer science or a related field is required.
- Other info: This is a 6-month full-time contract with opportunities for growth.
The predicted salary is between 42000 - 84000 £ per year.
Remote Locations: London, South East, Scotland, East of England, and West Midland
6 Months contract for a client who is based out of London
Fulltime - Temporary
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 modeling, 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 analyze 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 is not 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.
Data Scientist (Remote) employer: LanceSoft, Inc.
Contact Detail:
LanceSoft, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Remote)
✨Tip Number 1
Familiarise yourself with the latest trends in data science, particularly in machine learning and big data tools like Hadoop. This will not only help you understand the role better but also give you talking points during interviews.
✨Tip Number 2
Build a portfolio showcasing your projects that involve exploratory data analysis and predictive modelling. Having tangible examples of your work can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the data science field through platforms like LinkedIn. Engaging with others can lead to valuable insights and potential referrals for the job.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges in Python or R. Being able to demonstrate your programming skills live can significantly boost your chances of landing the job.
We think you need these skills to ace Data Scientist (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with programming languages like Python or R, and any big data tools you've used. Emphasise your skills in statistics, machine learning, and data visualisation.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Data Scientist position and how your background aligns with the job responsibilities. Mention specific projects where you've applied your analytical skills to solve complex problems.
Showcase Your Technical Skills: Include a section in your application that details your technical skills, such as experience with Hadoop or Tableau. Provide examples of how you've used these tools in past roles to drive business insights.
Highlight Communication Skills: Since effective communication is key for this role, include examples of how you've successfully conveyed complex data findings to non-technical stakeholders. This could be through presentations, reports, or collaborative projects.
How to prepare for a job interview at LanceSoft, Inc.
✨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. Highlight specific projects where you applied these skills to solve complex problems.
✨Demonstrate Your Analytical Thinking
Expect questions that assess your ability to analyse 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 work in simple terms. Be ready to discuss how you would convey complex data findings to non-technical stakeholders.
✨Prepare for Hypothesis Testing Scenarios
Familiarise yourself with the process of generating and testing hypotheses. Be ready to discuss a time when you conducted experiments and how you interpreted the results to inform product development.
