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- Tasks: Join us as a Data Scientist, working on algorithms and machine learning to analyze big datasets.
- Company: We're a dynamic company located in Proto, Gateshead, focused on innovative data solutions.
- Benefits: Enjoy flexible working, 25+ days holiday, and a modern, dog-friendly office environment.
- Why this job: This role offers hands-on experience with cutting-edge tech and a supportive team culture.
- Qualifications: 3+ years in Data Science, strong Python skills, and familiarity with AWS and database technologies required.
- Other info: Submit your CV and a short intro video to showcase your personality!
The predicted salary is between 40000 - 60000 £ 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 Data Science Data Scientist (Remote) employer: Wordnerds
Contact Detail:
Wordnerds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Data Science Data Scientist (Remote)
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as AWS Aurora, BigQuery, MongoDB, and ElasticSearch. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Since the role emphasizes collaboration with Engineers, consider preparing examples of past projects where you successfully worked in a team environment. Highlighting your ability to communicate complex data science concepts to non-technical stakeholders will be beneficial.
✨Tip Number 3
Make sure to showcase your understanding of MLOps, particularly with AWS ECS and Docker containers. If you have any relevant projects or experiences, be ready to discuss how you implemented these technologies in your work.
✨Tip Number 4
For your introductory video, be authentic and let your personality shine through. Share not only your professional background but also what you enjoy doing outside of work. This helps us get to know you better and see if you'd be a good fit for our team culture.
We think you need these skills to ace Data Science Data Science Data Scientist (Remote)
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the requirements of the Data Scientist position. Familiarize yourself with the necessary skills, such as Python programming, machine learning techniques, and experience with databases like AWS Aurora and BigQuery.
Craft Your CV: Tailor your CV to highlight relevant experience in Data Science or Data Engineering. Emphasize your strong Python skills and any qualifications related to data science. Be sure to include specific projects or achievements that demonstrate your expertise.
Create Your Introductory Video: Prepare a short introductory video (maximum 5 minutes) where you share a bit about yourself, both professionally and personally. Keep it casual and authentic—no need for high production quality. This is your chance to showcase your personality!
Submit Your Application: Once your CV and video are ready, submit your application through our website. Double-check that all files are correctly uploaded and that your contact information is accurate before hitting 'submit'.
How to prepare for a job interview at Wordnerds
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, machine learning algorithms, and data visualization techniques. Highlight specific projects where you've successfully implemented these skills, as this will demonstrate your capability to meet the job requirements.
✨Prepare for Behavioral Questions
Since the company values personality, think about how you can convey your work style and personal interests in your introductory video. Share examples of teamwork, problem-solving, and adaptability to show that you're a good cultural fit.
✨Familiarize Yourself with Their Tech Stack
Research the database technologies mentioned in the job description, such as AWS Aurora and BigQuery. Being able to discuss your familiarity or experience with these tools will show your readiness to hit the ground running.
✨Keep It Real in Your Introductory Video
Remember, the company is looking for authenticity. In your video, be yourself and share what makes you unique both professionally and personally. This is your chance to connect on a human level, so don’t stress about production quality.
