Remote Senior Data Scientist - AI/ML

Placements24; Upington; Hybrid; ZAR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Fully remote

Competitive salary

Learning & development

Flexible work-life balance

Job summary

Placements24 is seeking a Senior Data Scientist to join a remote-first analytics team. You will build and deploy advanced ML models, perform rigorous statistical analyses, and translate insights into actionable business recommendations for clients worldwide.

You will mentor junior data scientists, collaborate with cross-functional teams, and help shape the company’s data science strategy in a fully remote environment.

Qualifications

• Master's or Ph.D. in a quantitative field is required.
• Minimum 5 years of data science experience with ML focus.
• Proven production ML model development and deployment.

Responsibilities

• Design, develop, and deploy ML models for business problems.
• Perform EDA, feature engineering, and model evaluation.
• Preprocess large datasets and ensure data quality.
• Collaborate with engineers to deploy into production.
• Communicate findings to technical and non-technical stakeholders.
• Mentor junior data scientists and analysts.
• Stay current with AI/ML research and best practices.
• Contribute to data science standards and processes.
• Identify opportunities for data-driven product innovation.

Skills

Machine learning

Statistical modeling

Python

R

Scikit-learn

TensorFlow

PyTorch

Pandas

SQL

NoSQL

Spark

Hadoop

Data storytelling

Remote collaboration

Education

Master's or Ph.D. in Data Science/Statistics/CS/Mathematics

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

pandas

SQL

NoSQL

Spark

Hadoop

Job description

About the Role

Our client, a pioneering analytics firm focused on leveraging Artificial Intelligence and Machine Learning to drive business insights, is seeking an exceptional Senior Data Scientist to join their fully remote team. This role is critical in developing and implementing advanced machine learning models and statistical analyses to solve complex business problems for clients worldwide. The Senior Data Scientist will collaborate with cross-functional teams, mentor junior data scientists, and play a key role in shaping the company's data science strategy. This is an outstanding opportunity to work on challenging projects, utilize state-of-the-art technologies, and contribute significantly to the advancement of AI and ML applications in a remote-first setting. You will be instrumental in extracting valuable insights from large datasets and translating them into actionable recommendations. The position requires a deep statistical background and practical experience in building and deploying predictive models.

Key Responsibilities

• Design, develop, and implement machine learning models and algorithms to address business challenges.
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights.
• Clean, preprocess, and transform large, complex datasets for analysis.
• Evaluate model performance and iterate to improve accuracy and effectiveness.
• Collaborate with engineering teams to deploy models into production environments.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.
• Mentor and guide junior data scientists and analysts.
• Stay abreast of the latest research and advancements in data science, AI, and machine learning.
• Contribute to the development of best practices and standards within the data science team.
• Identify new opportunities for data-driven innovation and product development.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience in data science, with a strong emphasis on machine learning and statistical modeling.
• Proven experience in building and deploying ML models in a production environment.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas).
• Strong understanding of statistical concepts, hypothesis testing, and experimental design.
• Experience with SQL and NoSQL 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 explain complex concepts effectively.
• Demonstrated ability to work independently and collaboratively in a remote team setting.

Benefits

• Our client offers a highly competitive salary, excellent health and wellness benefits, a generous vacation policy, and retirement savings options.
• This is a fully remote position, offering flexibility and work-life balance.
• Opportunities for continuous learning, professional growth, and engagement in cutting-edge research are extensive.
• Our client fosters a collaborative and inclusive remote work culture.