Job Title: Senior Data ScientistLocation: Hybrid - London, UKSalary: Up to £80,000 + EquityAbout Us:We are an innovative e-commerce marketplace company, dedicated to transforming the way consumers and businesses connect online. Our platform leverages cutting-edge technology and data-driven insights to deliver exceptional user experiences and drive business growth. We are now seeking a talented Senior Data Scientist to join our dynamic team and play a key role in shaping our data strategy.Job Overview:As a Senior Data Scientist, you will be instrumental in leveraging data to drive decision-making and optimise our platform’s performance.
You will work closely with cross-functional teams, including Product, Marketing, and Engineering, to develop and implement advanced analytics, machine learning models, and data-driven solutions. This role offers a hybrid working arrangement, with a blend of remote work and collaboration at our London office.Key Responsibilities:Advanced Analytics & Modeling: Develop, deploy, and maintain machine learning models that solve complex business problems, enhance user experience, and drive operational efficiency.Data Insights: Analyze large, complex datasets to uncover trends, patterns, and actionable insights that inform business strategy and product development.Collaboration: Work closely with product managers, engineers, and stakeholders to understand data needs and integrate data science solutions into product features.Experimentation: Design and analyze A/B tests and other experiments to measure the impact of new features and marketing initiatives, ensuring data-driven decision-making.Data Infrastructure: Collaborate with data engineers to build and optimize data pipelines, ensuring data is readily available and of high quality for analysis.Mentorship: Provide guidance and mentorship to junior data scientists and analysts, fostering a culture of continuous learning and innovation.Stakeholder Communication: Present complex data findings and model results to non-technical stakeholders, translating insights into clear, actionable recommendations.Required Qualifications:Experience: 4+ years of experience in data science, with a proven track record of deploying models and driving business impact in an e-commerce or marketplace environment.Technical Skills: Proficiency in programming languages such as Python or R, and experience with machine learning frameworks like TensorFlow, scikit-learn, or similar. Strong SQL skills for data querying and manipulation.Statistical & Analytical Expertise: Deep understanding of statistical analysis, predictive modeling, and machine learning techniques.Data Visualization: Experience with data visualization tools such as Tableau, Power BI, or custom solutions to effectively communicate insights.Collaboration: Ability to work collaboratively in a cross-functional team environment, with strong communication skills to convey complex concepts to non-technical audiences.Problem-Solving: Proactive approach to identifying opportunities and solving problems using data-driven methods.Preferred Qualifications:E-commerce Experience: Experience in the e-commerce or marketplace industry is highly desirable.Cloud Technologies: Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for data processing and model deployment.Big Data Tools: Experience with big data technologies like Hadoop, Spark, or similar is advantageous.Experimentation: Strong experience with A/B testing, hypothesis testing, and other experimental design methodologies.What We Offer:Competitive Salary: Up to £80,000, based on experience and qualifications.Equity: Share options in a fast-growing e-commerce marketplace company.Flexible Working: Hybrid working model offering a blend of remote work and collaboration in our London office.Career Growth: Opportunities for professional development, including training, conferences, and certifications.Innovative Culture: Be part of a team that values creativity, innovation, and continuous improvement.Comprehensive Benefits: A robust benefits package including health insurance, pension contributions, and more.How to Apply:If you are passionate about using data to drive business success and want to be part of a dynamic and growing e-commerce com