At a Glance
- Tasks: Lead data-driven projects and mentor a team of data scientists in eCommerce marketing.
- Company: NEXT, a leading retail brand with a focus on innovation and data science.
- Benefits: Competitive salary starting from £66,000, great benefits, and career growth opportunities.
- Other info: Join a dynamic team at NEXT's Head Office in Leicestershire.
- Why this job: Make a real impact in eCommerce marketing through advanced data science techniques.
- Qualifications: Experience in data science, strong skills in Python, SQL, and marketing analytics.
The predicted salary is between 63000 - 77000 £ per year.
hackajob is partnering directly with NEXT to hire for this role.
We are looking for a Lead Data Scientist to join the e Commerce Data Science team.
Based from NEXT Head Office in Enderby, Leicestershire with a competitive salary range starting from £66,000 alongside great benefits!
The
Role: e Commerce Data at NEXT provides the department and the business the means to see what is working and what is not by drawing data and analysing patterns of shopping behaviours on our site and in general.
As a Lead Data Scientist within Marketing Science at NEXT, you will build data driven solutions through state of the art machine learning, causal inference and experiment design to measure true impact and make impactful recommendations to the business.
As a Lead you manage end to end projects and mentor data scientists.
- What You'll
- Take
On: Working closely with marketing teams and agencies to understand challenges and opportunities in e Commerce marketing.
Proactively lead the design, development and deployment of data science solutions that inform marketing strategy and execution.
Build Marketing Mix Modeling (MMM), predictive modelling, lifetime value prediction, churn analysis, marketing attribution and channel optimisation.
Partner with marketing stakeholders to test, learn and optimise campaigns through experimental design and/or causal inference methods.
Create dashboards and data products that enable self-serve analytics and real time insights for marketing teams.
Drive data quality, model governance and documentation standards across the marketing science function.
What You'll
Bring: Proven years of experience in applied data science or analytics, with experience of doing a leadership or mentoring role.
Bachelor's or Master's degree or higher education in Statistics, Computer Science, Data Science, Economics, or related field.
Strong expertise in marketing analytics, building MMM model via Meridian, Robyn and/or Py Mc, multi touch attribution, customer lifecycle modelling.
Proficiency in SQL, Python, R, Py Spark and dashboarding in Power BI/Looker.
Experienced running Geolift test, causal inference model, and other forms of experimental design.
Solid foundation in machine learning, statistics, econometric modelling, analytical and problem solving skills Strong communication skills with the ability to translate complex data insights into actionable business strategies.
Preferred experience in the e Commerce, technology or marketing industry.
So if you're an expert in Data Science, have strong Python/SQL/Pyspark skills and considerable knowledge in test design, implementation and reporting, can work with initiative and can build great working relationships within the business, this is the place for you – and your career.
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Lead Data Scientist - Marketing Sciences in Loughborough employer: Hackajob Ltd
JPMorgan Chase is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a Lead Site Reliability Engineer, you will not only tackle complex challenges but also benefit from extensive professional development opportunities and a strong commitment to diversity and inclusion. Located in a global financial hub, you'll be part of a team that values your expertise and encourages a culture of continuous improvement and technical excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist - Marketing Sciences in Loughborough
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Lead Data Scientist - Marketing Sciences in Loughborough
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 Hackajob Ltd, 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 Hackajob Ltd. 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 Hackajob Ltd
✨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 Hackajob Ltd!
✨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.
