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- Tasks: Join us as a Data Scientist to develop forecasting models and drive data-driven decisions.
- Company: Source Solutions partners with a leading global electronics manufacturer focused on innovation.
- Benefits: Enjoy a dynamic work environment with opportunities for professional growth and development.
- Why this job: Make a real impact in a forward-thinking company that values continuous improvement and excellence.
- Qualifications: Experience in data analysis, machine learning, and demand modelling is essential.
- Other info: This role offers the chance to explore various data projects across the business.
Source Solutions are proud to be working with a successful and continually growing global manufacturer within the electronics space, who operate cutting edge technology within a continuous improvement culture, in identifying an experienced Data Scientist, to play a key role in the company's push further towards data-driven decisions.
The Data Scientist is a key position whose immediate work will have a significant impact on stock and forecasting decisions that will lead to streamlining of production and provide real business and operational value, working on a continual improvement basis. Further on from this, there are many other areas of the business where data is waiting to be explored and utilised in order to gain further benefits and so this position will grow and develop, with the Data Scientist playing a key role identifying potential projects.
As Data Scientist, you will be instrumental in the company embracing data-driven decision making and will lead the design, build and refinement of forecasting models, including time series and machine learning, implementing what-if scenarios for capacity planning and demand variability.
- Core areas of responsibility:
- Forecasting model development
- Data management
- Model selection and validation
- Model deployment and maintenance
Data Scientist Candidate Requirements:
- Post study experience as Data Scientist or similar
- Proficiency in data analysis and machine learning
- Some form of experience in demand/forecast modelling
- Strong experience with AWS or similar (ideally experience with SageMaker)
- Familiarity with scenario-based modelling
On offer in return is an exciting role that will develop and make a real impact, with a forward-thinking company on the cutting edge, who constantly strive toward improvement and excellence in an environment that promotes development of staff.
Apply now
Data Scientist employer: Source Solutions
Contact Detail:
Source Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in data science, particularly in forecasting models and machine learning. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your experience with AWS or similar platforms by preparing examples of projects where you've successfully implemented data solutions. Being able to discuss your hands-on experience with tools like SageMaker can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the electronics and data science fields. Attend relevant meetups or webinars to connect with industry experts who might provide insights or even referrals for the position you're interested in.
✨Tip Number 4
Prepare to discuss how you've contributed to a culture of continuous improvement in your previous roles. Highlight specific examples where your data-driven decisions led to tangible business outcomes, as this aligns perfectly with the company's goals.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Scientist as outlined in the job description. Familiarise yourself with key terms like forecasting models, data management, and machine learning to tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasise your post-study experience as a Data Scientist or in similar roles. Be specific about your proficiency in data analysis, machine learning, and any experience you have with demand/forecast modelling.
Showcase Technical Skills: Make sure to mention your experience with AWS or similar platforms, particularly if you have worked with SageMaker. Include any relevant projects or achievements that demonstrate your technical skills in model selection, validation, and deployment.
Craft a Compelling Cover Letter: Use your cover letter to express your enthusiasm for the role and the company. Discuss how your skills align with their goals of embracing data-driven decision making and how you can contribute to their continuous improvement culture.
How to prepare for a job interview at Source Solutions
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in data analysis and machine learning during the interview. Be prepared to discuss specific projects where you've developed forecasting models or used AWS, particularly SageMaker, as this will demonstrate your hands-on experience.
✨Prepare for Scenario-Based Questions
Since the role involves scenario-based modelling, expect questions that assess your ability to handle different demand variability situations. Practise explaining how you would approach these scenarios and the methodologies you would use to derive insights.
✨Emphasise Continuous Improvement
The company values a culture of continuous improvement, so be ready to discuss how you've contributed to similar initiatives in the past. Share examples of how your work has led to operational efficiencies or enhanced decision-making processes.
✨Ask Insightful Questions
At the end of the interview, take the opportunity to ask questions that show your interest in the company's data strategy. Inquire about potential projects you could work on or how they envision the Data Scientist role evolving within the organisation.
