Senior Data Scientist – Remote, End-to-End ML & Production in London

Senior Data Scientist – Remote, End-to-End ML & Production in London

London Full-Time 63000 - 77000 Β£ / year (est.) Working from home possible
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At a Glance

  • Tasks: Transform complex challenges into scalable data products and models with high autonomy.
  • Company: Hims & Hers, a forward-thinking company focused on innovation in data.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team that values engineering rigor and best practices.
  • Why this job: Make a real impact by optimising operations and enhancing customer experiences.
  • Qualifications: Experience in data science and strong collaboration skills with diverse teams.

The predicted salary is between 63000 - 77000 Β£ per year.

Hims & Hers is seeking a Senior Data Scientist to drive technical execution and innovation within our data organization.

You will translate complex business challenges into scalable data products and production-ready models, operating with high autonomy from exploration to deployment.

You will collaborate with Product, Engineering, and Business stakeholders to optimize operations, refine marketing, and enhance customer experience, while upholding engineering rigor and best practices.

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Senior Data Scientist – Remote, End-to-End ML & Production in London employer: hims & hers

Hims & Hers is an exceptional employer that prioritises the well-being and safety of its employees, particularly in the dynamic environment of our Fulfillment Center in the UK. With a strong commitment to fostering a positive work culture, we offer comprehensive benefits, opportunities for professional growth, and a collaborative atmosphere where your contributions to safety and compliance are valued and recognised.

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Contact Details:

hims & hers Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior Data Scientist – Remote, End-to-End ML & Production in London

✨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 hims & hers!

✨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 Senior Data Scientist – Remote, End-to-End ML & Production at hims & hers.

✨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 hims & hers.

✨Apply Directly through Our Website

When you find a suitable opening like Senior Data Scientist – Remote, End-to-End ML & Production at hims & hers, 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 Senior Data Scientist – Remote, End-to-End ML & Production in London

Machine Learning
Data Product Development
Model Deployment
Collaboration
Business Analysis
Data Exploration
Technical Execution

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 hims & hers, 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 hims & hers. 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 hims & hers

✨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 hims & hers!

✨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.