We are seeking a skilled and innovative individual to join our team as a Data Scientist / Data Engineer specializing in E-Commerce Pricing. In this role, you will be responsible for developing and maintaining data pipelines, implementing pricing algorithms, and analyzing data to optimize pricing strategies for our e-commerce platform. The ideal candidate will have a strong background in data engineering, data analysis or data science, and experience in the e-commerce domain.

• Design, develop, and maintain robust and scalable data pipelines for collecting, processing, and storing large volumes of pricing-related data from various sources such as transaction logs, web analytics, and third-party APIs.

• Ensure data quality and integrity throughout the pipeline by implementing data validation and monitoring processes.

• Collaborate with the pricing team to develop and implement advanced pricing algorithms and models using machine learning and statistical techniques.

• Optimize algorithms to dynamically adjust pricing based on factors such as demand, competitor pricing, inventory levels, and customer behavior.

• Conduct exploratory data analysis to identify patterns, trends, and anomalies in pricing data.

• Generate actionable insights and recommendations to improve pricing strategies, revenue optimization, and customer engagement.

• Evaluate the performance of pricing models using metrics such as revenue uplift, margin improvement, and customer satisfaction.

• Continuously refine and optimize pricing models based on real-world feedback and business objectives.

• Collaborate with cross-functional teams including product management, marketing, and finance to align pricing strategies with overall business goals.

• Communicate findings, insights, and recommendations to stakeholders in a clear and concise manner through presentations and reports.

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.

• Proven experience as a Data Engineer, Data Analyst, Data Scientist, or similar role, with a focus on pricing analytics and optimization in the e-commerce domain.

• Strong proficiency in programming languages such as Python, SQL, and experience with data manipulation libraries (e.g., pandas, NumPy).

• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Streamlit) for presenting insights and analysis.

• Solid understanding of machine learning algorithms and statistical techniques for predictive modeling and optimization.

• Experience with a modern data stack (dbt, Snowflake, etc.)

• Experience with big data technologies such as Apache Spark, Hadoop, or similar frameworks is a plus.

• Excellent problem-solving skills and the ability to work independently as well as part of a team.

• Strong communication and collaboration skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

• Experience working with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure.

• Knowledge of pricing strategies and methodologies in the e-commerce industry.

• Familiarity with A/B testing and experimentation methodologies for evaluating pricing strategies.