E-commerce Data Scientist

Placements24; United States; Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Hybrid work arrangement

Medical benefits

Learning & conferences

Career growth

Job summary

Placements24 is seeking an E-commerce Data Scientist to drive strategic insights in a hybrid role based in Paarl, Western Cape. You will build ML models for segmentation, churn, and recommendations, partnering with marketing, product, and engineering to translate data into actions.

The ideal candidate holds a Masters or PhD in a quantitative field with 5+ years in data science, strong Python or R, SQL, and experience with ML libraries; excellent communication and problem-solving skills are

Qualifications

• Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience in data science, with a significant focus on e-commerce or online retail analytics.
• Proficiency in Python or R for statistical modeling and machine learning.
• Experience with SQL for data extraction and manipulation.
• Hands-on experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Knowledge of data warehousing concepts and big data technologies (e.g., Spark, Hadoop) is a plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their data science services.
• Strong understanding of e-commerce metrics, customer behavior, and online marketing strategies.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to explain complex concepts to non-technical audiences.

Responsibilities

• Develop and implement machine learning models for customer segmentation, personalization, churn prediction, and recommendation systems.
• Analyze large datasets to identify key drivers of customer behavior, sales performance, and marketing effectiveness.
• Design and conduct A/B tests to evaluate the impact of new features, marketing campaigns, and website changes.
• Build predictive models to forecast sales, demand, and customer lifetime value.
• Collaborate with engineering teams to deploy models into production and integrate data pipelines.
• Create compelling data visualizations and reports to communicate insights to stakeholders at all levels.
• Stay current with the latest advancements in data science, machine learning, and e-commerce analytics.
• Proactively identify opportunities to leverage data for competitive advantage and business optimization.
• Mentor junior analysts and contribute to the data science community within the organization.
• Ensure data integrity and adherence to best practices in data management and analysis.

Skills

Analytical thinking

Problem solving

Communication

Education

Master's or PhD in data science, CS, stats or math

Tools

Python

R

SQL

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

Job description

About the Role

Our client, a leader in the online retail space, is seeking an innovative E-commerce Data Scientist to drive strategic insights and data-driven decision-making in Paarl, Western Cape . This pivotal role will leverage advanced analytical techniques and machine learning models to uncover trends, optimize customer experiences, and enhance business performance. The ideal candidate possesses a strong quantitative background, expertise in statistical modeling and programming, and a deep understanding of the e-commerce landscape. You will work collaboratively with marketing, product, and engineering teams to translate complex data into actionable strategies that fuel growth and improve customer engagement. If you are passionate about using data to solve challenging business problems and thrive in a dynamic environment, this opportunity is for you.

Key Responsibilities

• Develop and implement machine learning models for customer segmentation, personalization, churn prediction, and recommendation systems.
• Analyze large datasets to identify key drivers of customer behavior, sales performance, and marketing effectiveness.
• Design and conduct A/B tests to evaluate the impact of new features, marketing campaigns, and website changes.
• Build predictive models to forecast sales, demand, and customer lifetime value.
• Collaborate with engineering teams to deploy models into production and integrate data pipelines.
• Create compelling data visualizations and reports to communicate insights to stakeholders at all levels.
• Stay current with the latest advancements in data science, machine learning, and e-commerce analytics.
• Proactively identify opportunities to leverage data for competitive advantage and business optimization.
• Mentor junior analysts and contribute to the data science community within the organization.
• Ensure data integrity and adherence to best practices in data management and analysis.

Requirements

• Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience in data science, with a significant focus on e-commerce or online retail analytics.
• Proficiency in Python or R for statistical modeling and machine learning.
• Experience with SQL for data extraction and manipulation.
• Hands-on experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Knowledge of data warehousing concepts and big data technologies (e.g., Spark, Hadoop) is a plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their data science services.
• Strong understanding of e-commerce metrics, customer behavior, and online marketing strategies.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to explain complex concepts to non-technical audiences.

Benefits

Our client offers a competitive salary, comprehensive medical benefits, and performance-based incentives. This role provides a hybrid work arrangement, offering a blend of collaborative office time in Paarl, Western Cape , and remote flexibility. Employees benefit from continuous learning opportunities, including access to training, conferences, and advanced analytical tools. Join a team that fosters innovation, rewards expertise, and provides a clear path for career growth in the exciting field of data science and e-commerce. Make a tangible impact on business strategy through the power of data.