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- Tasks: Uncover insights from large datasets to optimise advertising strategies and product performance.
- Company: Join US Tech Solutions, a global leader in staff augmentation and workforce solutions.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Why this job: Make a real impact in advertising analytics while working with cutting-edge technology.
- Qualifications: 5+ years in data science, strong analytical skills, and proficiency in Python or R.
- Other info: Collaborative team culture with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for an experienced Data Scientist to join a high-impact analytics team focused on advertising performance measurement and optimization. This role involves working with large-scale datasets to generate insights that improve advertising strategies and product performance. The ideal candidate will combine strong statistical expertise, experimentation experience, and advanced analytical skills to deliver actionable insights and support data-driven decision making.
Key Responsibilities
- Conduct exploratory data analysis on large and complex datasets to uncover patterns, opportunities, and insights.
- Design and implement predictive models and advanced algorithms to drive performance improvements.
- Develop and analyze A/B tests and product experiments, interpreting results to guide product and business decisions.
- Collaborate with engineers and product teams to translate prototypes into scalable product features and solutions.
- Build and maintain data visualizations and dashboards to support internal analytics and performance tracking.
- Support ad-hoc analytical requests and provide insights to stakeholders across the organization.
- Contribute to measurement frameworks and targeting strategies for app advertising performance.
Required Skills & Experience
- Proven experience designing and analyzing A/B tests / experimentation frameworks.
- Experience working with complex measurement and analytics in advertising or digital marketing environments.
- Proficiency in Python and/or R for data analysis and modeling.
- Experience working with large datasets and big data environments.
- Strong analytical thinking and problem-solving skills.
- Excellent written communication skills with the ability to explain complex insights clearly.
Preferred Qualifications
- Experience working in large-scale technology environments.
- Familiarity with Hadoop or other big data tools.
- Experience with data visualization tools such as Tableau.
- Prior experience in advertising measurement or ad-tech analytics.
Education
- Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
Experience
- 5+ years of relevant data science or advanced analytics experience.
Data Scientist – (Advertising Analytics) employer: US Tech Solutions
Contact Detail:
US Tech Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – (Advertising Analytics)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, A/B tests, and any cool visualisations you've made. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and practising common data science questions. Be ready to discuss your past projects and how you’ve used data to drive decisions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist – (Advertising Analytics)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with A/B testing and data analysis. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about advertising analytics and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: Since we’re looking for someone proficient in Python or R, make sure to mention any specific projects where you’ve used these tools. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at US Tech Solutions
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving large datasets. Be ready to discuss specific examples of how you conducted exploratory data analysis and what insights you uncovered. This will show your expertise and ability to generate actionable insights.
✨Master A/B Testing
Since A/B testing is crucial for this role, brush up on your experience with designing and analysing experiments. Prepare to explain your methodology, the challenges you faced, and how your findings influenced product decisions. Real-world examples will make your answers stand out.
✨Show Off Your Technical Skills
Make sure you’re comfortable discussing your proficiency in Python or R. Be prepared to talk about specific libraries or frameworks you’ve used for data analysis and modelling. If you have experience with big data tools like Hadoop, don’t forget to mention that too!
✨Communicate Clearly
Strong communication skills are key for this position. Practice explaining complex analytical concepts in simple terms. You might be asked to present a past project, so think about how you can convey your insights clearly and effectively to non-technical stakeholders.