At a Glance
- Tasks: Define data culture and drive data-driven decisions in a remote role.
- Company: Join Modal, a fast-growing company focused on impactful data solutions.
- Benefits: Enjoy remote work, competitive compensation, and personal development opportunities.
- Other info: Ideal for curious problem solvers eager to tackle complex challenges.
- Why this job: Be a key player in product launches and influence company direction.
- Qualifications: Fluency in SQL and Python, with experience in data science and analysis.
The predicted salary is between 28800 - 48000 £ per year.
In this role, you will play a key part in defining the data culture within Modal and ensure that we have principled, data-driven decision-making processes. As part of the early data team, you will work on numerous zero-to-one projects and will have a direct impact on our product direction. You’ll have the opportunity to work alongside our product and engineering teams on high-profile feature launches that are used by consumers and brands every day.
Who You AreYou are curious, inquisitive, and enjoy solving ambiguous, open-ended problems. You are able to identify high-impact problem areas with little direction. You have a healthy skepticism about data and know when to dig deeper into a problem.
You have the technical skills to work independently. You are comfortable with advanced modeling and statistical techniques and are highly fluent in SQL and Python. You have deep experience with experiment design and analysis.
You are a strong communicator and are able to explain complex concepts to a wide audience. You are adept at crafting clear and impactful data visualizations.
You are meticulous and forthright. You are experienced with finding clear answers despite messy data sets and are able to catch data issues as they arise.
Ideally, you have experience as a data scientist at a fast-growing company and have a proven record of impact.
What You Will DoThere are numerous complex product questions that we would look to a data partner to help the team untangle. On a given day, you may be performing and sharing complex analyses that inform a wide variety of decisions. Or you may be playing a hands-on role in product launches, ensuring that we understand the impact of new features on users and can identify potential issues early in the process. You will have the opportunity to do foundational analysis on important, unsolved questions across a wide range of problem spaces.
As an early team member at Modal you will be a critical voice and have significant influence over the direction of the company. We will compensate you well, invest deeply in your development, and ensure this is the single best work experience of your life. If you think you might be a good fit for our team, we’d love to hear from you.
#J-18808-LjbffrConversational Designer (Remote) in London employer: MODAL
At Modal, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make impactful contributions. As a Product Data Scientist, you will have access to continuous learning opportunities and the chance to work alongside talented professionals in a dynamic environment, all while being based in a vibrant location that encourages creativity and growth.
StudySmarter Expert Advice🤫
We think this is how you could land Conversational Designer (Remote) in London
✨Tip Number 1
Familiarise yourself with Modal's product offerings and recent feature launches. Understanding their current projects will help you engage in meaningful conversations during interviews and demonstrate your genuine interest in the company.
✨Tip Number 2
Brush up on your SQL and Python skills, especially focusing on advanced modelling and statistical techniques. Being able to showcase your technical prowess in these areas can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with experiment design and analysis. Be ready to share specific examples of how your insights have influenced product decisions or improved processes in your previous roles.
✨Tip Number 4
Practice explaining complex data concepts in simple terms. As a strong communicator, being able to convey your ideas clearly will be crucial, especially when collaborating with product and engineering teams.
We think you need these skills to ace Conversational Designer (Remote) in London
Some tips for your application 🫡
Understand the Role:Before applying, make sure you fully understand the responsibilities and requirements of the Conversational Designer position. Familiarise yourself with Modal's data culture and how your skills can contribute to their decision-making processes.
Tailor Your CV:Highlight your experience with SQL, Python, and any advanced modelling techniques in your CV. Make sure to include specific examples of how you've solved ambiguous problems or contributed to product launches in previous roles.
Craft a Compelling Cover Letter:Use your cover letter to showcase your curiosity and problem-solving skills. Explain why you're interested in the role at Modal and how your background aligns with their needs. Be sure to mention your experience with data visualisation and communication.
Proofread Your Application:Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A well-presented application reflects your attention to detail.
How to prepare for a job interview at MODAL
✨Showcase Your Curiosity
Demonstrate your inquisitive nature by discussing past experiences where you tackled ambiguous problems. Share specific examples of how you identified high-impact areas and the methods you used to explore them.
✨Highlight Technical Proficiency
Be prepared to discuss your technical skills in SQL and Python. Bring examples of advanced modelling or statistical techniques you've applied in previous roles, and be ready to explain your thought process behind experiment design and analysis.
✨Communicate Complex Ideas Clearly
Practice explaining complex data concepts in simple terms. During the interview, focus on how you can convey intricate analyses and findings to a non-technical audience, showcasing your strong communication skills.
✨Prepare for Data Challenges
Anticipate questions about handling messy data sets. Share your strategies for identifying and resolving data issues, and provide examples of how you've ensured data integrity in your previous work.
