At a Glance
- Tasks: Drive marketing effectiveness and lead research for small and medium customers.
- Company: Join Snap Inc, a tech company revolutionising communication through innovative products.
- Benefits: Enjoy comprehensive medical coverage, paid parental leave, and mental health support.
- Other info: Collaborative culture with a focus on diversity and career growth opportunities.
- Why this job: Make a real impact on marketing strategies and help shape the future of digital advertising.
- Qualifications: 5+ years in analytics, strong communication skills, and proficiency in advanced analytical tools.
The predicted salary is between 60000 - 80000 £ per year.
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.
The Data Science & Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organisation to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data.
We’re looking for a Marketing Scientist to join our Team at Snap Inc!
What you’ll do:
- Be the primary driver of marketing effectiveness across a book of Small and Medium Customers (SMC) through a mix of learning-agenda strategies, experimental design, causal analytics, and ads efficacy solutions.
- Lead measurement, research, and learning plans for key verticals, in support of their media objectives and the long-term growth of the business.
- Work closely with Product and R&D teams to identify, prototype and scale new solutions or capabilities for the broader Marketing Science team.
- Build measurement capability and advocacy across your vertical and with cross-functional partners.
- Contribute towards quarterly OKRs such as advertiser growth, solutions adoption and driving innovation in measurement capabilities.
Knowledge, Skills & Abilities:
- Ability to communicate effectively with senior and executive stakeholders internally and externally.
- Experience defining, developing, and leading projects across multiple cross-functional teams.
- Ability to structure and conduct analyses to generate insight and recommendations.
- Understanding of measurement concepts, solutions, and underlying statistical fundamentals leveraged in the ads efficacy and measurement ecosystem.
- Proficiency with advanced analytical tools (e.g. SQL, R, SAS).
- Understanding of the vertical needs and ability to creatively apply measurement solutions and insights in a way that improves advertiser performance and the value-proposition of Snap.
Minimum Qualifications:
- Bachelor’s degree in a quantitative or business field or equivalent years of experience.
- 5+ years of advanced analytics and measurement experience within a technology company, media agency, consulting firm, advertiser, or research company.
- Experience with ads measurement.
Preferred Qualifications:
- Advanced degree in business, math, economics, engineering or a related field.
- Experience in negotiating and writing SOW and contracts from a preferred procurement perspective.
- Direct work experience with top performance or brand advertisers.
- Experience building and influencing client or partner relationships.
If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.
Default Together Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
Senior Marketing Scientist in London employer: SNAP
At Snap Inc, we pride ourselves on being an innovative technology company that fosters a vibrant work culture where creativity and collaboration thrive. As a Senior Marketing Scientist, you'll have the opportunity to drive impactful marketing strategies while benefiting from our comprehensive support systems, including paid parental leave and mental health programs. Our commitment to diversity and employee growth ensures that you will not only contribute to meaningful projects but also develop your skills in a dynamic environment that values your unique perspective.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Marketing Scientist in London
✨Get Involved in Data Science Meetups
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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 SNAP.
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We think you need these skills to ace Senior Marketing Scientist in London
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 SNAP, 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 SNAP. 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 SNAP
✨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 SNAP!
✨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.
