Remote E-commerce Data Scientist

Placements24; LegKraal Gate; Híbrido; ZAR 1.498.000 - 2.329.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Equity options

Fully remote

Health insurance

Professional development budget

Collaborative culture

Descripción de la vacante

Placements24 is seeking a highly skilled Remote E-commerce Data Scientist to join its innovative team. This fully remote role will leverage advanced analytics and ML to uncover insights and drive strategic decisions across our e-commerce operations.

You will build predictive models, optimize customer experiences, and identify growth opportunities in a distributed, collaborative environment.

Formación

• Advanced degree (Master's or PhD) in a quantitative field.
• Proven experience applying ML to business problems, preferably in e-commerce.
• Proficiency in Python or R and data manipulation libraries (Pandas, NumPy).
• Strong understanding of statistical modeling, experimental design, and data mining.
• Experience with SQL and large datasets, including cloud data warehouses.
• Excellent problem-solving skills and ability to work independently remotely.

Responsabilidades

• Develop and implement sophisticated machine learning models to predict customer behavior, optimize pricing, and personalize recommendations.
• Analyze large datasets from various sources to identify key trends and insights.
• Design and execute experiments (A/B testing) to measure the impact of new features and marketing strategies.
• Collaborate with product, marketing, and engineering teams to translate data insights into actionable business strategies.
• Build and maintain robust data pipelines and reporting systems to track key performance indicators.
• Communicate complex analytical findings and recommendations clearly to both technical and non-technical stakeholders.

Conocimientos

Machine learning concepts

Python

R

Pandas/NumPy

Statistical modeling

Experiment design

Data mining

Educación

Master's degree or PhD in a quantitative field

Herramientas

SQL

Cloud data warehouses

Descripción del empleo

About the Role

Our client is seeking a highly skilled Remote E-commerce Data Scientist to join their innovative team. This fully remote position will leverage advanced analytics and machine learning techniques to uncover insights and drive strategic decision-making across our e-commerce operations. You will be instrumental in building predictive models, optimizing customer experiences, and identifying new growth opportunities. This is a critical role for a data-driven expert who thrives on solving complex problems and shaping the future of our digital business through data-informed strategies, working in a fully distributed and collaborative environment.

Key Responsibilities

• Develop and implement sophisticated machine learning models to predict customer behavior, optimize pricing, and personalize recommendations.


• Analyze large datasets from various sources (e.g., website traffic, sales, customer interactions) to identify key trends and insights.


• Design and execute experiments (A/B testing) to measure the impact of new features and marketing strategies.


• Collaborate with product, marketing, and engineering teams to translate data insights into actionable business strategies.


• Build and maintain robust data pipelines and reporting systems to track key performance indicators.


• Communicate complex analytical findings and recommendations clearly to both technical and non-technical stakeholders.

Requirements

• Advanced degree (Master's or PhD) in a quantitative field such as Data Science , Statistics, Computer Science, or a related discipline.


• Proven experience in applying machine learning techniques to solve business problems, preferably in e-commerce.


• Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).


• Strong understanding of statistical modeling, experimental design, and data mining techniques.


• Experience with SQL and working with large datasets, including cloud-based data warehouses.


• Excellent problem-solving skills and the ability to work independently in a remote setting.

Benefits

• Highly competitive salary, bonus, and potential equity options.


• Fully remote position offering unparalleled flexibility and work-life balance.


• Comprehensive health, dental, and vision insurance plans.


• Generous budget for professional development, conferences, and home office setup.


• Collaborative culture focused on innovation, learning, and impact.