Data Scientist - Predictive Analytics

Placements24; Polokwane; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Performance bonus

Medical insurance

Retirement plan

Job summary

Placements24 seeks a Data Scientist specializing in Predictive Analytics in Polokwane, Limpopo, ZA. You will develop and deploy models forecasting trends, analyze large datasets, and collaborate with stakeholders to drive strategic decisions. Strong Python/R skills, ML techniques, and data visualization are essential.

The role offers opportunities to work on impactful projects within a collaborative, innovative environment, with a focus on continuous learning and professional growth.

Qualifications

• Must have graduate degree in a quantitative field (stats/data science/CS).
• Proven experience building predictive models and analytics solutions.
• Strong programming skills in Python or R and libraries for ML and data processing.
• Excellent communication and ability to translate analytics to business actions.

Responsibilities

• Develop, validate, and deploy predictive models for business use cases.
• Analyze large datasets to identify patterns and insights.
• Collaborate with stakeholders to align analytics with business needs.
• Data cleaning, preprocessing, and feature engineering.
• Communicate findings via visualizations and reports.
• Build and maintain data pipelines for model training and evaluation.

Skills

Programming in Python or R

Statistical modeling

Machine learning

Data mining

Data visualization

Education

Master's or PhD in Statistics/DS/CS

Tools

Pandas

NumPy

Scikit-learn

TensorFlow/PyTorch

SQL

Tableau/Matplotlib/Seaborn

Spark/Hadoop

Job description

About the Role

Our client, a forward-thinking company in the AI and Emerging Technologies space, is looking for a skilled Data Scientist specializing in Predictive Analytics to join our team in Polokwane, Limpopo, ZA. This role is essential for developing sophisticated models that forecast future trends and inform strategic decision-making. You will leverage large datasets and advanced statistical techniques to uncover insights and drive business growth. This position offers a chance to work on impactful projects within a collaborative and innovative environment.

Key Responsibilities

• Develop, validate, and deploy predictive models for various business applications.
• Analyze large and complex datasets to identify patterns and insights.
• Collaborate with stakeholders to understand business needs and define analytical approaches.
• Perform data cleaning, preprocessing, and feature engineering.
• Communicate findings and recommendations effectively through visualizations and reports.
• Stay updated on the latest advancements in data science, machine learning, and predictive modeling.
• Build and maintain data pipelines for model training and evaluation.
• Contribute to the overall data strategy of the organization.

Requirements

• Master's or PhD degree in Statistics, Data Science, Computer Science, or a related quantitative field.
• Proven experience in developing and implementing predictive models.
• Proficiency in statistical modeling, machine learning algorithms, and data mining techniques.
• Strong programming skills in Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
• Experience with SQL and working with relational databases.
• Excellent analytical, problem-solving, and communication skills.
• Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.

Benefits

• Our client offers a competitive salary, performance bonuses, and a comprehensive benefits package including medical and retirement plans. This on-site role in Polokwane, Limpopo, ZA is integral to our operations. We are committed to employee growth, providing opportunities for continuous learning, professional development, and attendance at industry conferences. Join our client and contribute to pioneering work in AI and predictive analytics.