Remote Junior Data Scientist

Placements24; Klerksdorp; Hybrid; ZAR 240,000 - 480,000; Full time

Benefits offered by this job

Fully remote

Professional development

Equipment provided

Flexible schedule

Job summary

Placements24 is seeking a remote Junior Data Scientist to join our innovative team in South Africa. You will analyze diverse datasets, build statistical models, and apply ML techniques to drive data-driven decisions from anywhere in SA.

You will collaborate with product managers, engineers, and analysts to translate complex data into actionable insights, and you will contribute to experiments, visualization, and data infrastructure improvements.

Qualifications

• Bachelor's or Master's in a quantitative field.
• Proficiency in Python or R.
• Experience with Pandas/NumPy and ML frameworks.
• Strong communication and remote-work ability.

Responsibilities

• Collect, clean, and preprocess large datasets from various sources.
• Develop and implement statistical models and machine learning algorithms.
• Perform exploratory data analysis to identify trends and patterns.
• Visualize data and present findings to technical and non-technical audiences.
• Assist in designing and conducting A/B tests and experiments.
• Collaborate with engineering teams to deploy models into production.
• Stay up-to-date with advancements in data science and ML.
• Contribute to improvement of data infrastructure and processes.

Skills

Python

R

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Data visualization

Communication

Education

Bachelor's or Master's in Data Science or related quantitative field

Tools

TensorFlow

PyTorch

Tableau

Job description

About the Role

Our client is actively seeking a talented and motivated Remote Junior Data Scientist to join their innovative team. This fully remote position offers a unique opportunity for individuals to leverage their analytical skills and contribute to data-driven decision-making from anywhere within South Africa. You will work on diverse datasets, applying statistical techniques and machine learning algorithms to extract valuable insights. This role is perfect for a recent graduate or early-career professional looking to make a significant impact in the field of data science. You will collaborate closely with cross-functional teams, including product managers, engineers, and business analysts, to translate complex data into actionable strategies. The focus is on building robust analytical models and communicating findings effectively.

Key Responsibilities

• Collect, clean, and preprocess large datasets from various sources.
• Develop and implement statistical models and machine learning algorithms.
• Perform exploratory data analysis to identify trends and patterns.
• Visualize data and present findings to technical and non-technical audiences.
• Assist in designing and conducting A/B tests and other experiments.
• Collaborate with engineering teams to deploy models into production environments.
• Stay up-to-date with the latest advancements in data science and machine learning.
• Contribute to the continuous improvement of data infrastructure and analytical processes.

Requirements

• A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Proficiency in programming languages such as Python or R.
• Experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical concepts and machine learning techniques.
• Excellent data visualization skills (e.g., Matplotlib, Seaborn, Tableau).
• Effective communication skills, with the ability to explain complex findings clearly.
• Self-motivated and able to work independently in a remote setting.
• Strong problem-solving abilities and a passion for uncovering insights from data.

Benefits

• Fully remote work arrangement, offering flexibility and work-life balance.
• Competitive salary and performance-based bonuses.
• Opportunities for professional development, including training and conference attendance.
• Exposure to cutting-edge technologies and challenging data problems.
• Collaborative and inclusive team culture.
• Contribution to impactful data-driven projects.
• Company-provided equipment and resources for remote work.