At a Glance
- Tasks: Lead the charge in Bayesian modelling and drive impactful data strategies.
- Company: Join a leading advertising measurement firm transforming data science.
- Benefits: Competitive salary, mentorship opportunities, and a collaborative team environment.
- Other info: Dynamic team with a focus on innovation and professional growth.
- Why this job: Shape the future of data science while influencing major commercial decisions.
- Qualifications: 5+ years in data science with expertise in Bayesian methods and Python.
The predicted salary is between 59400 - 72600 £ per year.
The Challenge
Our client powers advertising measurement for some of the biggest brands in the US. They are completely rebuilding their flagship products around Bayesian frameworks, moving away from legacy frequentist methods to process tens of millions of data points with higher accuracy and speed.
They need a Senior Data Scientist to set the technical standard for Bayesian methods across a growing 25-person UK team. You will directly own core models, choose the best methods for the job, and see your work guide major commercial decisions.
- Drive Model Strategy: Select and build the right Bayesian, frequentist, or ML methods to continuously improve flagship measurement platforms.
- Build Core Architectures: Construct hierarchical, time series, and audience models in PyMC, Stan, or NumPyro.
- Set Technical Standards: Define team best practices for priors, diagnostics, posterior checks, and scalable inference.
- Lead & Mentor: Guide junior and mid-level data scientists through code reviews, technical sessions, and shared best practices.
- Commercial Translation: Communicate probabilistic outputs into clear, actionable business insights for client stakeholders.
- Bayesian Expertise: Practical experience with hierarchical models, MCMC, variational methods, and hands-on work in PyMC, Stan, or NumPyro.
- Technical Stack: Strong proficiency in Python, SQL, and pandas (Polars or AWS experience is a plus).
- Track Record: 5+ years of data science experience (PhD and postdoc work count toward this total).
- Communication Skills: Ability to bridge the gap between complex probabilistic modeling and commercial decision-making.
Senior Data Scientist (Bayesian Modelling) employer: SEARCHTRIBES
SEARCHTRIBES provides a unique opportunity for data scientists to engage with advanced Bayesian modelling techniques in a supportive environment. The company's focus on innovation and collaboration fosters professional growth and allows employees to make significant contributions to major business decisions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist (Bayesian Modelling)
✨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 SEARCHTRIBES!
✨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 (Bayesian Modelling) at SEARCHTRIBES.
✨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 SEARCHTRIBES.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist (Bayesian Modelling) at SEARCHTRIBES, 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 (Bayesian Modelling)
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 SEARCHTRIBES, 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 SEARCHTRIBES. 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 SEARCHTRIBES
✨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 SEARCHTRIBES!
✨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.
