E-commerce Data Scientist

Placements24; Kimberley; Hybrid; CAD 75,000 - 113,000; Full time

Benefits offered by this job

Hybrid work

Medical aid and retirement fund

Generous leave

Professional development budget

Collaborative environment

Job summary

Placements24 is seeking an accomplished E-commerce Data Scientist to join the analytics team in Kimberley. You will build predictive models, optimize personalization, and uncover insights from large datasets to improve customer experience and sales.

You will collaborate with product, marketing, and engineering teams, design experiments, and mentor junior analysts while staying current with industry advances in data science and privacy.

Qualifications

• Master's or PhD in a quantitative field such as CS, statistics, math or physics.
• 3+ years as a Data Scientist in ecommerce or similar analytics.
• Proficiency in Python or R and data science libraries.
• Strong SQL for data extraction and manipulation.
• Experience with ML models, experiments and data visualization.

Responsibilities

• Develop, test, and deploy predictive models for customer segmentation, churn, and demand forecasting.
• Apply ML and statistics to large datasets on customer behavior, sales, and website interactions.
• Design and run A/B tests and experiments to measure impact of changes.
• Create data visualizations and reports for stakeholders.
• Collaborate with product, marketing, and engineering to drive data-driven improvements.
• Build data pipelines ensuring data quality and availability for analysis.
• Stay current with advances in data science and ecommerce analytics.
• Contribute to data strategy and data governance, including privacy considerations.
• Mentor junior analysts and share knowledge within the team.

Skills

Python

R

SQL

Statistical modeling

Machine learning

Data visualization

Education

Master's or PhD in CS/Statistics/Math/Physics

Tools

scikit-learn

TensorFlow

PyTorch

Pandas

Tableau/Visualization tools

Job description

About the Role

Our client, a data-driven e-commerce leader, is seeking an accomplished E-commerce Data Scientist to join their analytics team in **Kimberley, Northern Cape**. This role is pivotal in leveraging advanced analytics, machine learning, and statistical modeling to uncover actionable insights that drive significant improvements in customer experience, sales, and operational efficiency. You will work with vast datasets to build predictive models, optimize personalization strategies, and understand complex customer behaviors. The ideal candidate possesses a strong foundation in statistical analysis, machine learning algorithms, and proficiency in programming languages commonly used in data science. Join a forward-thinking company in **Kimberley** and apply your expertise to solve challenging e-commerce problems.

Key Responsibilities

• Develop, test, and deploy predictive models for areas such as customer segmentation, churn prediction, recommendation engines, and demand forecasting.
• Utilize machine learning techniques and statistical analysis to extract insights from large, complex datasets related to customer behavior, sales, and website interactions.
• Design and implement A/B tests and other experiments to measure the impact of product changes and marketing initiatives.
• Develop data visualizations and reports to communicate complex findings and insights to stakeholders across the organization.
• Collaborate with product management, marketing, and engineering teams to identify opportunities for data-driven improvements.
• Build data pipelines and processes to ensure the availability and quality of data for analysis.
• Stay current with the latest advancements in data science, machine learning, and e-commerce analytics.
• Contribute to the development of the company's data strategy and capabilities.
• Ensure data privacy and ethical considerations are addressed in all analytical work.
• Mentor junior analysts and share knowledge within the data science team.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• 3+ years of experience as a Data Scientist or in a similar analytical role, with a focus on e-commerce or online businesses.
• Proficiency in programming languages such as Python or R, and experience with relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
• Strong experience with SQL for data extraction and manipulation.
• Solid understanding of statistical modeling, machine learning algorithms, and experimental design.
• Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent problem-solving skills and the ability to think critically.
• Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
• Ability to work independently and collaboratively in a team environment.
• Knowledge of the **Northern Cape** market dynamics is advantageous.

Benefits

• Competitive salary package commensurate with experience.
• Hybrid work model offering flexibility.
• Opportunity to work on cutting-edge data science problems in the e-commerce domain.
• Significant impact on business strategy and customer experience.
• Comprehensive medical aid and retirement fund contributions.
• Generous annual leave allowance.
• Professional development budget for conferences and training.
• A stimulating and collaborative work environment in **Kimberley**.
• Be part of a company that values data-driven decision-making.