At a Glance
- Tasks: Lead impactful data science projects using AI and cloud solutions.
- Company: Innovative tech firm focused on transforming missions with data.
- Benefits: Competitive salary, travel opportunities, and professional growth.
- Other info: Dynamic role with opportunities for thought leadership and industry influence.
- Why this job: Make a real difference by driving data-driven strategies and solutions.
- Qualifications: Advanced degree in Data Science or related field with extensive experience.
The predicted salary is between 80000 - 100000 £ per year.
We are seeking a Principal Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services.
Responsibilities
- Oversee data acquisition and ensure data is properly formatted and described; coach engineers in data cleaning and analysis best practices, identify gaps in current data sets, and drive ethics and privacy discussions around data collection and preparation.
- Evaluate the team’s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale; conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods.
- Research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices; write extensible code that spans multiple features, and develop expertise in proper debugging techniques.
- Define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities; maintain a customer-oriented focus by acknowledging their needs and offering pragmatic solutions that align with their data capabilities.
Qualifications
- Doctorate, Master’s, or Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field and significant years of data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or equivalent experience.
- Customer-facing, project-delivery experience in professional services and/or consulting.
- Enjoy travel and are comfortable with travel up to 25%.
Principal Data Scientist - ISE employer: Microsoft
As a Principal Data Scientist at our company, you will be part of a dynamic and innovative team that values collaboration and continuous learning. We offer a supportive work culture that encourages professional growth through mentorship and access to cutting-edge technologies, all while working on impactful projects that transform industries. Located in a vibrant area, our office provides a stimulating environment with opportunities for networking and community engagement, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Scientist - ISE
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those that highlight your experience with AI and cloud-based solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your approach to data acquisition, model evaluation, and how you tackle ethical considerations in data science.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are passionate about transforming missions with data science. It shows initiative and interest in our company!
We think you need these skills to ace Principal Data Scientist - ISE
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Principal Data Scientist role. Highlight your data science expertise, especially in AI and cloud-based solutions, to show us you’re the right fit.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about data science and how your background aligns with our mission. Share specific examples of your past projects and how they’ve made an impact.
Showcase Your Technical Skills:Don’t forget to mention your technical skills! We want to see your experience with data acquisition, cleaning, and analysis. If you’ve developed operational models or written extensible code, let us know!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team.
How to prepare for a job interview at Microsoft
✨Know Your Data Inside Out
As a Principal Data Scientist, you'll be expected to have a deep understanding of data acquisition and analysis. Brush up on your knowledge of data cleaning techniques and be ready to discuss how you've tackled data quality issues in the past. Prepare examples that showcase your ability to identify gaps in datasets and how you’ve driven ethical discussions around data.
✨Showcase Your Technical Skills
Make sure you're comfortable discussing your coding skills and debugging techniques. Be prepared to talk about the models you've developed and how you've improved them over time. Bring along examples of your work or projects that demonstrate your ability to write extensible code and conduct thorough reviews of data analysis.
✨Stay Current with Industry Trends
Research the latest trends and technologies in data science and AI. Be ready to share your insights on how these developments can impact the company’s strategy. This shows that you’re not just knowledgeable but also passionate about contributing to thought leadership within the industry.
✨Customer-Centric Mindset
Since this role involves a customer-facing aspect, think about how you can align your solutions with customer needs. Prepare to discuss past experiences where you’ve successfully partnered with clients to deliver pragmatic solutions. Highlight your ability to maintain a customer-oriented focus while driving project goals.
