Remote Senior Data Scientist - Predictive Analytics

Placements24; Pretoria; Hybrid; ZAR 1,200,000 - 2,100,000; Full time

Benefits offered by this job

Fully remote position

Competitive salary + bonuses

Continuous learning & development

Home office setup allowance

Job summary

Placements24 is seeking a Senior Data Scientist (Remote) to lead predictive analytics initiatives for diverse SA clients. You will design, develop, and deploy advanced statistical models, translating data into actionable business insights while collaborating with data engineers and stakeholders.

The role requires a PhD/MA in a quantitative field, 6+ years of experience, and strong Python/R and SQL skills; experience with Spark and BI tools is advantageous.

Qualifications

• PhD or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 6 years of hands-on experience in data science and predictive modeling roles.
• Proven expertise in developing and deploying machine learning models (e.g., regression, classification, clustering, time series forecasting).
• Proficiency in Python or R and libraries like scikit-learn, TensorFlow, PyTorch, Pandas, and NumPy.
• Strong SQL skills and experience with large datasets and distributed computing (e.g., Spark).
• Excellent understanding of statistical concepts and experimental design.
• Experience with data visualization tools (Tableau, Power BI) is a plus.

Responsibilities

• Develop and implement sophisticated predictive models using machine learning and statistical techniques.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Clean, transform, and preprocess data to prepare it for modeling.
• Design and execute experiments to test hypotheses and validate model performance.
• Collaborate with stakeholders to translate business requirements into data science problems.
• Communicate findings clearly to technical and non-technical audiences through visualizations and reports.
• Deploy models into production environments and monitor performance.
• Stay current with advancements in data science, ML, and AI.
• Mentor junior data scientists and contribute to the firm's knowledge base.
• Utilize Python or R and relevant libraries.

Skills

Python

R

SQL

Data Visualization

Statistical Modeling

Remote Collaboration

Education

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

Tools

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Spark

Job description

About the Role

Our client, a distinguished management consultancy, is seeking an exceptional Senior Data Scientist with expertise in Predictive Analytics to join their distributed team. This role is entirely remote, offering a dynamic opportunity to work on cutting-edge data projects for a diverse range of clients across South Africa. You will be responsible for designing, developing, and deploying advanced statistical models and machine learning algorithms to solve complex business problems, uncover insights, and drive data-informed decision-making. The ideal candidate possesses a strong academic background, hands-on experience with large datasets, and a passion for translating data into actionable business strategies. As a remote professional, you will collaborate closely with data engineers, business analysts, and client stakeholders using state-of-the-art digital collaboration tools. Our client is committed to fostering a stimulating remote work environment where innovation and continuous learning are paramount. Join us in harnessing the power of data to create significant business value.

Key Responsibilities

• Develop and implement sophisticated predictive models using machine learning and statistical techniques.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Clean, transform, and preprocess data to prepare it for modeling.
• Design and execute experiments to test hypotheses and validate model performance.
• Collaborate with stakeholders to understand business requirements and translate them into data science problems.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences through compelling visualizations and reports.
• Deploy models into production environments and monitor their performance over time.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Mentor junior data scientists and contribute to the firm's data science knowledge base.
• Utilize advanced programming languages like Python or R and relevant data science libraries.

Requirements

• PhD or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 6 years of hands-on experience in data science and predictive modeling roles.
• Proven expertise in developing and deploying machine learning models (e.g., regression, classification, clustering, time series forecasting).
• Proficiency in programming languages such as Python or R, and libraries like scikit-learn, TensorFlow, PyTorch, Pandas, and NumPy.
• Strong SQL skills and experience working with large datasets and distributed computing frameworks (e.g., Spark).
• Excellent understanding of statistical concepts and experimental design.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Superior problem-solving and analytical skills.
• Effective communication skills, with the ability to explain technical concepts to non-technical stakeholders, especially in a remote setting.
• Demonstrated ability to work independently and collaboratively in a remote team environment.

Benefits

• Fully remote position with maximum flexibility.
• Highly competitive salary and performance-based bonuses.
• Opportunities for continuous learning and professional development.
• Engage with cutting-edge technologies and challenging data problems.
• Work with a talented and supportive remote team.
• Contribute to impactful projects for leading South African businesses.
• Allowance for home office setup and improved broadband.
• Access to advanced analytics platforms and tools.