At a Glance
- Tasks: Transform raw data into engaging, interactive stories for major news brands.
- Company: Join a dynamic team at United States Digital Space LLC, focused on innovative storytelling.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for skill development.
- Other info: Collaborate with editors and journalists in a fast-paced, creative environment.
- Why this job: Make an impact by pushing storytelling boundaries with your coding skills.
- Qualifications: Experience in data visualisation and a passion for journalism are essential.
The predicted salary is between 29700 - 36300 £ per year.
United States Digital Space LLC is seeking a Data Developer to transform raw data into compelling, interactive stories for Times-brands across UK platforms.
You will design bespoke visualizations, build calculators, and develop infrastructure including databases, pipelines, and web scrapers for large-scale projects.
You’ll work closely with editors and journalists, applying coding expertise and a newsroom mindset to publish data-led investigations and features that push storytelling boundaries.
#J-18808-Ljbffr
Data Developer: Interactive Data Visualizations for News employer: AgileGrid Solutions
Playground Games is an exceptional employer, offering a vibrant and inclusive work culture that prioritises creativity and collaboration. Located in Royal Leamington Spa, our state-of-the-art facilities provide a hybrid work model, competitive salaries, and comprehensive benefits, including health insurance and generous holiday allowances. We are dedicated to the professional growth of our employees, fostering an environment where diverse perspectives are valued and innovation thrives as we embark on the exciting journey of rebooting the Fable franchise.
StudySmarter Expert Advice🤫
We think this is how you could land Data Developer: Interactive Data Visualizations for News
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like AgileGrid Solutions!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Developer: Interactive Data Visualizations for News at AgileGrid Solutions.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like AgileGrid Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like Data Developer: Interactive Data Visualizations for News at AgileGrid Solutions, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Developer: Interactive Data Visualizations for News
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at AgileGrid Solutions, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at AgileGrid Solutions. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at AgileGrid Solutions
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at AgileGrid Solutions!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
