AI Data Scientist - Predictive Analytics

Placements24; Gqeberha; Hybrid; ZAR 700,000 - 1,000,000; Full time

Benefits offered by this job

Annual bonus

Medical & dental

Retirement contributions

Training programs

Hybrid work

Job summary

Placements24 is seeking an AI Data Scientist in Port Elizabeth, Eastern Cape, to lead predictive analytics initiatives. You will build and deploy predictive models on large datasets, perform rigorous EDA, and translate business needs into data-driven solutions.

Collaboration with stakeholders and rigorous experimentation will be essential to drive decisions. The role requires advanced degrees, strong ML skills, Python or R, and experience with ML libraries.

Qualifications

• Master's or Ph.D. in a quantitative field.
• Proven experience in predictive modeling and ML.

Responsibilities

• Develop and implement predictive models using ML algorithms.
• Preprocess and transform large datasets for analysis.
• Perform EDA to identify patterns and anomalies.
• Evaluate models with appropriate metrics and iterate to improve accuracy.
• Collaborate with stakeholders to translate needs into data science problems.
• Communicate findings clearly to technical and non-technical audiences.
• Design and run A/B tests to validate hypotheses.
• Stay updated with data science advancements.
• Contribute to data-driven strategies and product improvements.

Skills

Predictive modeling

Machine learning

EDA

Statistical analysis

Data visualization

Education

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

Tools

Python

R

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Job description

About the Role

Our client, a leader in data-driven innovation, is seeking a talented and analytical AI Data Scientist to focus on predictive analytics. This role is crucial for extracting actionable insights from complex datasets, building predictive models, and driving strategic decision-making across the organization. You will work with large-scale data, employing advanced machine learning techniques to forecast trends, identify opportunities, and mitigate risks. The position is located in Port Elizabeth , Eastern Cape, within a collaborative environment that encourages continuous learning and innovation. Join a forward-thinking company that leverages AI to solve challenging business problems.

Key Responsibilities

• Develop and implement sophisticated predictive models using machine learning algorithms (e.g., regression, classification, time series forecasting, clustering).
• Clean, preprocess, and transform large, complex datasets to prepare them for analysis and modeling.
• Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
• Evaluate model performance using appropriate metrics and techniques, and iterate on models to improve accuracy and robustness.
• Collaborate with business stakeholders to understand their needs and translate them into data science problems and solutions.
• Communicate findings, insights, and recommendations clearly and effectively to both technical and non-technical audiences.
• Design and execute A/B tests and other experiments to validate hypotheses and measure the impact of implemented solutions.
• Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence.
• Contribute to the development of data-driven strategies and product enhancements.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Proven 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 expertise in relevant data science libraries (e.g., Pandas, NumX, Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical concepts, hypothesis testing, and experimental design.
• Experience with SQL and working with 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 convey complex information concisely.
• Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
• Ability to work independently and as part of a team in a dynamic environment.

Benefits

• Our client provides a competitive salary, annual bonus opportunities, and a comprehensive benefits package including medical, dental and retirement contributions.
• We are committed to employee growth, offering access to training, workshops, and industry conferences.
• The role in Port Elizabeth , Eastern Cape, offers a stimulating work environment within a collaborative team.
• Enjoy a hybrid work arrangement that promotes a healthy work-life balance, along with opportunities for career advancement within a leading data science organization.