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- Tasks: Lead data science projects, develop algorithms, and optimize data analysis processes.
- Company: Join a dynamic team at a modern office in Gateshead, focused on innovation and collaboration.
- Benefits: Enjoy flexible working hours, 25+ days holiday, and a training budget.
- Why this job: Make an impact with cutting-edge technology while enjoying a dog-friendly, vibrant work environment.
- Qualifications: 3+ years in Data Science, strong Python skills, and familiarity with AWS and machine learning techniques.
- Other info: Submit your CV and a fun intro video to showcase your personality!
The predicted salary is between 50000 - 70000 £ per year.
Important information Please note – this role requires you to work from our Gateshead (North East UK) office for 2/3 (non-consecutive) days a week. Deadline for Applications: 2nd January 2025 Full-time, permanent, subject to a 6-month probationary period Starting salary of £50k-70k, depending on experience Flexible working, 37.5 hours per week – Core hours: 10 am to 4 pm, Monday to Friday Hybrid – Two to three days/week from our fantastic office in Proto, Gateshead The features we need to do that span skill sets and programming languages. As a Data Scientist, we need you to bring knowledge of algorithms, machine learning, and statistics to those features. You will need these data skills but also the ability to build them into reliable Python services with well-tested code. That might be rolling out new models or processes to analyse data, advising on the best way to visualise data, or working with Engineers to optimise analysis of big datasets. 3 years+ experience working in a Data Science or Data Engineering environment ~ Strong Python skills ~ Strong knowledge of Data Science/Machine Learning techniques ~ Experience with at least some of the database tech we use: AWS Aurora, BigQuery, MongoDB, ElasticSearch ~ Some kind of Data Science qualification MLOps knowledge, we use AWS ECS with Docker containers to host Python services and for model inference or BigQueryML Previous experience working for a start-up or building SaaS 25 days holiday plus bank holidays with additional days rewarded for long service up to a maximum of 30 days ~ Modern, light, dog-friendly office in Proto on the Newcastle-Gateshead quayside ~ Training & development budget ~ Work laptop (Mac) and home-office equipment if needed ~ How to Apply – CV and Introductory Video ai along with a short (5 min max!) introductory video, explaining: A little about you—what kind of person are you at work and away from it? We’re not after Hollywood production standards—an uncut phone video is absolutely fine—and we get that not everyone is an extrovert.
Data Science Manager (Remote) employer: Wordnerds
Contact Detail:
Wordnerds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager (Remote)
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as AWS Aurora, BigQuery, and Docker. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Prepare to discuss your experience with machine learning algorithms and data visualization techniques during the interview. Be ready to provide examples of how you've applied these skills in previous roles, especially in a start-up or SaaS environment.
✨Tip Number 3
Since this role involves collaboration with engineers, think about how you can demonstrate your teamwork skills. Prepare anecdotes that highlight your ability to work effectively in cross-functional teams, particularly in data-driven projects.
✨Tip Number 4
For your introductory video, be authentic and let your personality shine through. Share not just your professional background but also what you enjoy outside of work. This will help us get a sense of who you are as a person, which is just as important to us.
We think you need these skills to ace Data Science Manager (Remote)
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the requirements and responsibilities of the Data Science Manager position. Highlight your experience with algorithms, machine learning, and Python in your application.
Craft Your CV: Tailor your CV to emphasize your relevant experience in Data Science and Data Engineering. Include specific examples of projects where you've utilized Python and data visualization techniques.
Create Your Introductory Video: Prepare a short introductory video (max 5 minutes) that showcases your personality and work style. Be authentic and share a bit about yourself both professionally and personally.
Review and Submit: Before submitting, review all your documents for clarity and accuracy. Ensure your CV and video align with the job description and highlight your qualifications effectively.
How to prepare for a job interview at Wordnerds
✨Showcase Your Technical Skills
Make sure to highlight your strong Python skills and your experience with data science techniques. Be prepared to discuss specific algorithms or machine learning models you've worked with, as well as how you've implemented them in previous roles.
✨Demonstrate Your Problem-Solving Ability
Prepare examples of how you've tackled complex data challenges in the past. Discuss your approach to optimizing analysis of big datasets and how you collaborated with engineers to achieve results.
✨Be Authentic in Your Introductory Video
Since the application requires a short introductory video, be yourself! Share a bit about your personality and work style. Remember, they want to know who you are beyond your resume, so let your genuine self shine through.
✨Familiarize Yourself with Their Tech Stack
Research the database technologies mentioned in the job description, such as AWS Aurora, BigQuery, and MongoDB. Being knowledgeable about these tools will show your enthusiasm for the role and your readiness to contribute from day one.
