Remote Lead Data Scientist - Machine Learning

Placements24; Gqeberha; Hybrid; ZAR 1,000,000 - 1,600,000; Full time

Benefits offered by this job

Bonuses

Health benefits

Remote work

Career growth

Job summary

Placements24 is seeking an accomplished Remote Lead Data Scientist to drive advancements in machine learning and AI. You will lead a team, develop predictive models, and derive insights from complex datasets to impact business strategy and product development.

You will mentor junior data scientists, collaborate with stakeholders, and stay at the forefront of AI research in a fully remote, collaborative environment.

Qualifications

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of experience in data science, with a proven track record in leading projects.
• Expertise in machine learning algorithms, statistical modeling, and data mining techniques.
• Proficiency in Python or R, and libraries such as TensorFlow, PyTorch, scikit-learn.
• Experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Strong communication and leadership skills to guide a remote team.

Responsibilities

• Lead the development and deployment of machine learning models for business applications.
• Design and execute data mining strategies to discover actionable insights.
• Develop and maintain data pipelines for model training and evaluation.
• Mentor junior data scientists, fostering innovation and technical excellence.
• Collaborate with stakeholders to translate business needs into data science problems.
• Stay current with AI, ML, and data science research.

Skills

Leadership

Machine Learning

Data Mining

Python

R

Cloud (AWS/Azure/GCP)

Big Data (Spark/Hadoop)

Education

Master's or PhD in Computer Science/Statistics/Mathematics

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

AWS

Azure

GCP

Job description

About the Role

Our client is seeking an accomplished Remote Lead Data Scientist to drive advancements in machine learning and artificial intelligence. This role is crucial for developing predictive models, deriving insights from complex datasets, and leading a team of data scientists in building sophisticated AI solutions. You will work on challenging problems that have a direct impact on business strategy and product development, all within a fully remote, collaborative, and forward-thinking environment. This is a unique opportunity to shape the data science roadmap and mentor a high-performing team.

Key Responsibilities

• Lead the development and deployment of machine learning models for various business applications.
• Design and execute data mining strategies to discover actionable insights and trends.
• Develop and maintain robust data pipelines for model training and evaluation.
• Mentor and guide junior data scientists, fostering a culture of innovation and technical excellence.
• Collaborate with stakeholders to understand business needs and translate them into data science problems.
• Stay current with the latest advancements in AI, ML, and data science research.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of experience in data science , with a proven track record in leading projects.
• Expertise in machine learning algorithms, statistical modeling, and data mining techniques.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Strong communication and leadership skills to effectively guide a remote team.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive benefits package including health, dental, and vision.
• Fully remote work arrangement with flexible hours.
• Significant opportunities for professional growth and attending industry conferences.
• Access to cutting-edge tools and technologies for data analysis and modeling.