Remote Junior Data Scientist - WhatJobs Direct

Placements24; Gauteng; Remote; ZAR 300,000 - 420,000; Full time

Benefits offered by this job

Flexible remote working environment

Continuous learning and development

Exposure to cutting-edge technologies

Collaborative data team

Impactful data-driven decisions

Job summary

Placements24 is seeking a Graduate Data Scientist for a fully remote role. You will work on data manipulation, modeling, and interpretation, collaborating with a team of data professionals to drive business intelligence and strategic decisions.

The position targets recent graduates with a strong quantitative background, offering exposure to advanced ML techniques and data pipelines in a flexible remote-first environment.

Qualifications

• Master's or PhD in statistics, CS, mathematics or related field.
• Strong foundation in statistical modelling and ML algorithms.
• Proficiency in Python or R and data libraries like Pandas/NumPy/Scikit-learn.
• Familiarity with SQL and databases.
• Strong analytical and communication skills.

Responsibilities

• Collect, clean, and preprocess large datasets from various sources.
• Perform exploratory data analysis to identify trends and anomalies.
• Develop, train, and evaluate statistical and ML models.
• Visualize data and results for technical and non-technical audiences.
• Collaborate with cross-functional teams on data-driven solutions.
• Assist deployment and monitoring of ML models in production.
• Stay updated with advances in data science and AI.
• Document data science processes and model architectures.
• Contribute to data pipelines and analytical frameworks.
• Present findings and recommendations to stakeholders.

Skills

Python

R

Pandas

NumPy

Scikit-learn

SQL

Statistics

Machine learning

Data visualization

Education

Master's or PhD in Statistics, CS, Math, Physics, Economics

Tools

Python

R

Job description

About the Role

Our client, a rapidly expanding data analytics firm, is seeking an ambitious and analytical Graduate Data Scientist to join their fully remote team. This is a unique opportunity for recent graduates to dive into the world of data science, leveraging advanced statistical and machine learning techniques to derive actionable insights from complex datasets. Working remotely, you will collaborate with a talented team of data professionals, contributing to projects that drive business intelligence and strategic decision-making. We are looking for individuals with a strong quantitative background, a passion for uncovering patterns, and a desire to make a significant impact. This role offers the chance to hone your skills in data manipulation, modeling, and interpretation within a flexible, remote-first environment. Your contributions will be vital in helping our client understand and leverage their data assets to their fullest potential, regardless of physical location.

Key Responsibilities

• Collect, clean, and preprocess large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop, train, and evaluate statistical and machine learning models.
• Visualize data and model results to communicate findings effectively to technical and non-technical audiences.
• Collaborate with cross-functional teams to define data-driven solutions to business problems.
• Assist in the deployment and monitoring of machine learning models in production environments.
• Stay updated with the latest advancements in data science, machine learning, and artificial intelligence.
• Document data science processes, methodologies, and model architectures.
• Contribute to the development of data pipelines and analytical frameworks.
• Present findings and recommendations to stakeholders in a clear and concise manner.

Requirements

• Master's or PhD degree in Statistics, Computer Science, Mathematics, Physics, Economics, or a related quantitative field.
• Strong foundation in statistical modeling, machine learning algorithms, and data mining techniques.
• Proficiency in programming languages commonly used in data science, such as Python or R.
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
• Familiarity with SQL and database management.
• Excellent analytical and problem-solving abilities.
• Strong communication and presentation skills, with the ability to explain complex concepts clearly.
• Ability to work independently and manage multiple tasks in a remote setting.
• Proactive attitude and a strong desire to learn and grow in the field of data science.
• Access to a reliable internet connection and a dedicated remote workspace.

Benefits

• Competitive salary package commensurate with experience.
• Opportunity to work on challenging and impactful data science projects.
• Continuous learning and professional development opportunities.
• Flexible remote working environment.
• Exposure to cutting-edge technologies and methodologies.
• Collaborate with a talented and supportive team of data scientists.
• Contribute to data-driven decision-making at a strategic level.