Senior Data Scientist - Predictive Analytics

Placements24; Polokwane; Híbrido; ZAR 1 200 000 - 2 000 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Performance bonuses

Professional development

Resumo da oferta

Placements24 in Polokwane, Limpopo, seeks a Senior Data Scientist to build and deploy predictive models that forecast demand and personalize recommendations. You will work with large datasets, influence product and engineering decisions, and drive the data strategy in a fast-growing e-commerce environment.

The role requires 5+ years in data science, strong Python/R skills, and expertise in ML algorithms, SQL, and big data tools. You will mentor teammates and deliver measurable business impact.

Qualificações

• Master's or PhD in a quantitative field.
• 5+ years in data science with predictive modeling.
• Proficient in Python or R and data science libraries.
• Strong background in statistics and ML algorithms.
• Experience with SQL and large relational databases.

Responsabilidades

• Design, develop, and deploy predictive models for demand and recommendations.
• Analyze large datasets to identify trends and opportunities.
• Build data pipelines for model training and deployment.
• Collaborate with engineering and product teams to translate business needs.
• Develop metrics and dashboards to monitor model performance.
• Perform EDA and feature engineering to improve accuracy.
• Mentor junior data scientists and share knowledge.
• Ensure data quality and integrity throughout analytics.

Conhecimentos

Python

R

Pandas

scikit-learn

TensorFlow/PyTorch

SQL

Spark/Hadoop

Statistical modeling

Experiment design

Communication

Formação académica

Master's or PhD in Data Science/Statistics/CS/Mathematics

Ferramentas

Jupyter

TensorFlow/PyTorch

scikit-learn

Pandas

SQL

Spark

Descrição da oferta de emprego

About the Role

Our client is a rapidly growing e-commerce enterprise seeking to leverage data-driven insights to enhance customer experience and optimize business operations. We are looking for a highly skilled Senior Data Scientist to join our analytics team in Polokwane . This role will be instrumental in developing and deploying advanced predictive models to forecast demand, personalize recommendations, and identify key growth opportunities. You will work with vast datasets, collaborate with engineering and product teams, and play a key role in shaping the company's data strategy. This is an exciting opportunity to apply your expertise in a dynamic and fast-paced environment in Polokwane, Limpopo .

Key Responsibilities

• Design, develop, and implement sophisticated predictive models using statistical methods and machine learning techniques.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Build and maintain data pipelines for model training and deployment.
• Collaborate with stakeholders across various departments to understand business needs and translate them into data science solutions.
• Develop metrics and dashboards to monitor model performance and business impact.
• Perform exploratory data analysis (EDA) and feature engineering to improve model accuracy.
• Stay current with the latest advancements in data science, machine learning, and statistical modeling.
• Communicate findings and recommendations effectively to both technical and non-technical audiences.
• Mentor junior data scientists and contribute to the team's knowledge sharing.
• Ensure data quality and integrity throughout the analytical process.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience as a Data Scientist, with a strong focus on predictive modeling and machine learning.
• Proficiency in programming languages such as Python or R, and extensive experience with data science libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch).
• Strong knowledge of statistical modeling, machine learning algorithms (regression, classification, clustering, deep learning), and experimental design.
• Experience with SQL and working with large relational databases.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex findings clearly.
• Ability to work independently and collaborate effectively in a team environment.
• Experience in e-commerce or retail analytics is highly desirable.

Benefits

• Competitive salary package and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holiday schedule.
• Opportunities for professional development and continuous learning.
• Access to cutting-edge data tools and infrastructure.
• A dynamic and innovative work environment.
• Retirement savings plan with company matching.
• Employee discounts and perks.
• The chance to make a significant impact on business strategy.