At a Glance
- Tasks: Use advanced modelling techniques to influence real business decisions in marketing.
- Company: Global data-led organisation at the forefront of marketing analytics.
- Benefits: Ongoing professional development, access to cutting-edge tools, and clear career progression.
- Other info: Collaborative environment focused on learning and innovation.
- Why this job: Make a real impact on diverse projects while developing your data science skills.
- Qualifications: Experience in data science or statistical modelling, preferably in marketing analytics.
The predicted salary is between 54000 - 66000 £ per year.
This is an exciting opportunity for a Junior Data Science Manager to work at the intersection of data science and marketing effectiveness. You will use advanced modelling techniques to influence real business decisions, while continuing to develop both your technical expertise and your ability to communicate complex insights clearly.
The Company
They are a global, data-led organisation operating at the forefront of marketing analytics and technology. Built on strong technical foundations, they combine proprietary tools, experimentation, and data science to help organisations understand what drives performance. Their teams work across a wide range of clients and industries, delivering measurable impact through rigorous analysis and innovation. They are committed to developing talent and fostering a collaborative, learning-focused environment.
The Role
- Support the delivery of marketing mix modelling projects, owning key components such as data preparation, model execution, and scenario analysis
- Apply statistical and analytical techniques to solve business problems across marketing and performance data
- Translate complex model outputs into clear, actionable insights that inform budget and channel decisions
- Collaborate with senior stakeholders and contribute to high-quality client deliverables
- Use AI tools to enhance productivity, accelerate development, and improve communication of outputs
Your Skills and Experience
- Strong commercial experience in data science or statistical modelling, ideally within marketing analytics
- Hands-on experience with marketing mix modelling or similar approaches, with exposure to tools such as Meridian, Robyn, or PyMC
- Proficiency in Python and experience working with cloud platforms such as GCP
- Understanding of Bayesian statistics and marketing attribution concepts
- Ability to communicate technical findings clearly to non-technical audiences
- Interest in applying AI tools to enhance data science workflows
What They Offer
- Opportunity to work on data-driven projects across a range of industries
- Ongoing professional development and clear progression within a growing data science function
- Access to cutting-edge tools like Google Meridian and AI-driven workflows
Data Scientist - MMM employer: Stryker Corporation
Stryker Corporation is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a remote setting while being part of a leading medical communications team. With a strong emphasis on professional development and growth opportunities, employees are encouraged to enhance their skills and advance their careers, all while contributing to meaningful projects that impact healthcare globally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - 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 Stryker Corporation!
✨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 Scientist - MMM at Stryker Corporation.
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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 Stryker Corporation.
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We think you need these skills to ace Data Scientist - 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 Stryker Corporation, 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 Stryker Corporation. 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 Stryker Corporation
✨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 Stryker Corporation!
✨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.
