Senior Data Scientist - Predictive Analytics

Placements24; Rustenburg; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Remote work

Generous leave

Training & development

Retirement plan

Performance bonuses

Job summary

Placements24 is hiring a Senior Data Scientist with a strong background in Predictive Analytics to join our client’s team remotely. This role is focused on developing sophisticated predictive models to drive business decisions and enhance customer engagement.

You will own the end-to-end data science lifecycle—from data exploration and feature engineering to model building, validation, and deployment—while mentoring junior data scientists and collaborating with cross-functional teams.

Qualifications

• Master's or PhD in a quantitative field required.
• Five+ years as a Data Scientist focusing on predictive modeling.
• Strong programming with Python/R and ML libraries.

Responsibilities

• Design and implement advanced predictive models and ML algorithms.
• Analyze large datasets to identify trends and insights.
• Perform feature engineering and feature selection.
• Validate and deploy models to production.
• Communicate findings to technical and business stakeholders.
• Collaborate with cross-functional teams on data science problems.
• Develop dashboards to visualize model performance.
• Mentor junior data scientists and share knowledge.

Skills

Analytical thinking

Communication skills

Independent work

Team collaboration

Education

Master's degree in Statistics/Mathematics/CS

PhD in a quantitative field (preferred)

Tools

Python

R

scikit-learn

pandas

NumPy

TensorFlow

SQL

Tableau

Power BI

Matplotlib

Job description

About the Role

Our client, a prominent analytics firm, is actively seeking a Senior Data Scientist with a strong background in Predictive Analytics to join their team remotely. This role is essential for developing sophisticated predictive models that drive key business decisions and enhance customer engagement. You will be responsible for the end-to-end data science lifecycle, from data exploration and feature engineering to model building, validation, and deployment. This position is ideal for an experienced professional who thrives on tackling complex challenges and delivering actionable insights. As a remote employee, you will have the flexibility to work from anywhere, contributing to a forward-thinking and digitally connected team. If you are passionate about uncovering patterns in data and building models that predict future outcomes, this is a fantastic opportunity to advance your career in Rustenburg, North West or remotely.

Key Responsibilities

• Design, develop, and implement advanced statistical models and machine learning algorithms for predictive analytics.
• Analyze large, complex datasets to identify trends, patterns, and insights that inform business strategy.
• Perform feature engineering and selection to optimize model performance.
• Validate and deploy predictive models into production environments, ensuring their accuracy and reliability.
• Communicate complex findings and recommendations clearly to both technical and business stakeholders.
• Collaborate with cross-functional teams to understand business needs and translate them into data science problems.
• Develop dashboards and visualizations to present data insights and model performance.
• Stay current with the latest research and techniques in data science, machine learning, and predictive modeling.
• Mentor junior data scientists and contribute to the team's knowledge sharing.

Requirements

• Master's degree or Ph.D. in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• 5+ years of hands-on experience as a Data Scientist, with a strong focus on predictive modeling.
• Proficiency in statistical analysis, machine learning algorithms (e.g., regression, classification, clustering, time series forecasting), and experimental design.
• Expertise in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow).
• Experience with SQL and working with large relational databases.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Strong analytical and problem-solving skills, with meticulous attention to detail.
• Excellent communication and presentation skills.
• Proven ability to work independently and manage multiple projects simultaneously.

Benefits

• Highly competitive salary commensurate with experience.
• Comprehensive health, dental, and vision insurance plans.
• Flexible remote work arrangement.
• Generous annual leave and public holiday entitlement.
• Opportunities for continuous learning and professional growth, including access to online courses and training.
• Dynamic and intellectually stimulating work environment.
• Contribution to retirement fund.
• Performance-based bonuses.