Ecommerce Data Scientist
Fully Remote for UK based candidate with full UK working rights
Salary up to C£70,000 dependent on experience
J12818
This is a fully remote role, however candidates will need to be UK based already with full working rights for the UK.
Datatech are currently recruiting for a leading provider of tools and equipment, supporting services to a huge range of industries across the UK and Ireland, all powered by the latest technology. They can supply over 9,000 bits of equipment from industrial generators and cranes, right down to carpet cleaners and floor sanders, and everything in between.
As an Ecommerce Data Scientist, you will play a pivotal role in leveraging data analytics to support decision-making processes, improve user experience, and drive growth in the marketplace platform. You will work closely with cross-functional teams to analyse large datasets, develop predictive models, and generate actionable insights that will drive business success.
Responsibilities:
1. Collaborate with Product Managers, Engineers, and business stakeholders to identify key business challenges and opportunities for data-driven solutions.
2. Be an out-of-the-box thinker who is passionate about brainstorming and implementing innovative ways to use unique data to answer business problems.
3. Collect, clean, and pre-process large datasets from multiple sources to ensure data integrity and reliability.
4. Develop machine learning models and algorithms to optimize user engagement, customer segmentation, cohort analysis, and pricing strategies.
5. Conduct exploratory data analysis to uncover patterns, trends, and correlations that inform product development and marketing initiatives.
6. Build and deploy predictive models for demand forecasting, inventory management, and customer lifetime value prediction.
7. Design and implement A/B tests and experimentation frameworks to evaluate the impact of product changes and marketing campaigns.
8. Communicate findings and recommendations to non-technical stakeholders through clear visualisations, reports, and presentations.
9. Stay updated on emerging trends and best practices in data science, machine learning, and artificial intelligence to drive continuous improvement.
Skills Required:
1. Holds a mathematical or computer science background with a strong understanding of statistical data.
2. Proven experience as a Data Scientist or similar role.
3. Proficiency in programming languages such as Python or R, along with libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Pandas.
4. Strong knowledge of statistical analysis, hypothesis testing, and experimental design.
5. Experience with SQL databases, data warehousing, and big data technologies.
6. Familiarity with data visualisation tools such as Tableau, Power BI, or Metabase.
7. Excellent problem-solving and communication skills.
If this sounds like the role for you, then please apply today!
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