Remote Junior Data Scientist Apprentice

Placements24; Pietermaritzburg; Hybrid; ZAR 120,000 - 180,000; Full time

Benefits offered by this job

Remote work stipend

Mentorship program

Hands-on training

Job summary

WhatJobs Direct is seeking a bright and analytical Junior Data Scientist Apprentice to join a fully remote team. This apprenticeship offers extensive hands-on training, mentorship, and exposure to real-world data challenges from home.

You will assist senior data scientists with data collection, cleaning, analysis, and model development, working on diverse datasets and applying statistical techniques to build predictive models.

Qualifications

• Degree in a quantitative field such as Statistics, Mathematics or Computer Science.
• Solid grasp of statistical concepts and methods.
• Proficiency in Python or R programming.
• Experience with data manipulation libraries (Pandas, NumPy).
• Familiarity with machine learning concepts and libraries (Scikit-learn).
• Analytical and problem-solving abilities are strong.
• Excellent verbal and written communication skills.
• Ability to work independently in a remote setting.

Responsibilities

• Assist in collecting, cleaning, and preprocessing data from diverse sources.
• Perform exploratory data analysis to identify trends and patterns.
• Support development and implementation of statistical models and ML algorithms.
• Learn and apply data visualization to present findings clearly.
• Collaborate with data science team on research projects.
• Document data analysis processes and results.
• Assist in evaluating model performance and improvements.
• Stay updated on advances in data science and ML.
• Contribute to data-driven decision-making processes.

Skills

Quantitative mindset

Python or R

Pandas / NumPy

SQL basics

Remote work capability

Communication skills

Education

Bachelor's degree in Statistics/Math/CS/Economics

Tools

Scikit-learn

Pandas

NumPy

Git

Job description

About the Role

Our client, WhatJobs Direct, is actively seeking a bright and analytical Junior Data Scientist Apprentice to join their fully remote team. This position is an exceptional gateway for individuals passionate about data, statistics, and machine learning to embark on a career in data science. You will be instrumental in assisting our senior data scientists with data collection, cleaning, analysis, and model development. The role involves working with large datasets, applying statistical techniques, and learning to build predictive models using various programming languages and tools. We are looking for candidates with a strong quantitative background, excellent problem-solving abilities, and a profound curiosity for uncovering insights from data. This apprenticeship offers extensive hands-on training, mentorship, and exposure to real-world data challenges. To succeed in this remote role, strong self-motivation, excellent communication, and solid organizational skills are paramount. This is a fantastic opportunity to gain practical experience and build a strong foundation in data science from the comfort of your home.

Key Responsibilities

• Assist in collecting, cleaning, and preprocessing data from diverse sources.
• Perform exploratory data analysis to identify trends and patterns.
• Support the development and implementation of statistical models and machine learning algorithms.
• Learn and apply data visualization techniques to present findings effectively.
• Collaborate with data science team members on research and development projects.
• Document data analysis processes, methodologies, and results.
• Assist in evaluating model performance and making improvements.
• Stay updated on the latest advancements in data science and machine learning.
• Contribute to data-driven decision-making processes.

Requirements

• A degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• Strong understanding of statistical concepts and methods.
• Proficiency in programming languages like Python or R.
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Familiarity with machine learning concepts and libraries (e.g., Scikit-learn).
• Excellent analytical and problem-solving skills.
• Strong verbal and written communication skills.
• Ability to work independently and manage time effectively in a remote setting.
• High level of curiosity and eagerness to learn.
• Prior experience with SQL databases is a plus.

Benefits

• Comprehensive remote training in data science principles and practices.
• Mentorship from experienced data scientists and machine learning engineers.
• Opportunity to work on impactful data science projects.
• Flexibility of a fully remote work arrangement.
• Access to cutting-edge data science tools and platforms.
• Structured apprenticeship with potential for a permanent role.
• Competitive remote stipend and performance-based incentives.