At a Glance
- Tasks: Lead data science projects on marketing attribution and incrementality for ecommerce brands.
- Company: Fospha, a forward-thinking company in the heart of London.
- Benefits: Competitive salary, mentorship opportunities, and a collaborative work environment.
- Other info: Join a dynamic team that values innovation and professional growth.
- Why this job: Make a real impact by delivering insights that drive ecommerce success.
- Qualifications: Experience in data science, strong analytical skills, and a passion for mentoring.
The predicted salary is between 60750 - 74250 £ per year.
Fospha is seeking a Data Scientist in London to own production modelling across attribution, MMM, and incrementality.
You will lead projects end to end, choosing methodologies and communicating results to clients and internal teams.
You’ll work with a team that values high agency, rigorous QA, and strong analytics foundations.
You will mentor colleagues, continually expand your modelling toolkit, and collaborate across the data science stack to deliver impactful insights for ecommerce brands.
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Senior Data Scientist: Marketing Attribution & MMM employer: Fospha
Fospha is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that prioritises innovation and collaboration. As a Senior Data Scientist, you will have the opportunity to lead impactful projects while mentoring colleagues and expanding your skill set in a supportive environment. With a focus on professional growth and a commitment to delivering meaningful insights for ecommerce brands, Fospha stands out as a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist: Marketing Attribution & MMM
✨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 Fospha!
✨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: Marketing Attribution & MMM at Fospha.
✨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 Fospha.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist: Marketing Attribution & MMM at Fospha, 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: Marketing Attribution & MMM
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 Fospha, 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 Fospha. 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 Fospha
✨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 Fospha!
✨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.