Data Scientist - Remote

Placements24; LegKraal Gate; Hybrid; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Health insurance

Retirement contributions

Paid time off

Home office stipend

Professional development opportunities

Job summary

Placements24 is seeking a data scientist for a remote role focused on mining analytics. You will develop ML models, analyze large datasets, and translate insights into actionable business decisions across geologists, engineers, and analysts.

The role requires strong Python/R, SQL, and cloud skills, with experience in Spark/Hadoop and data visualization. You will collaborate in a distributed environment, contributing to innovative data science initiatives.

Qualifications

• Master’s or PhD in Computer Science, Statistics, Mathematics, Data Science, or related field.
• 5+ years of professional data science experience, preferably in mining.
• Proficient in Python and R; strong SQL skills with relational databases.
• Experience with Spark, Hadoop and cloud platforms (AWS, Azure, GCP).
• Solid understanding of ML algorithms, statistical modeling, and experimental design.
• Excellent problem-solving, communication, and ability to work remotely.
• Experience with data visualization tools such as Tableau, Power BI, Matplotlib, Seaborn.

Responsibilities

• Design, develop, and deploy machine learning models to solve business challenges.
• Analyze large datasets to identify trends and insights for mining operations.
• Develop predictive models for equipment failure, production, and resource grades.
• Create visualizations and dashboards for technical and non-technical stakeholders.
• Collaborate with domain experts to understand data sources and methods.
• Perform data wrangling and feature engineering for modeling.
• Stay updated on data science advances and tools.
• Contribute to data infrastructure and analytics platforms.
• Document methodologies, models, and results clearly.
• Participate in code reviews and maintain code quality.

Skills

5+ years data science experience

Education

Master’s or PhD in quantitative field

Tools

Python

R

SQL

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

AWS

Azure

GCP

Tableau

Power BI

Matplotlib

Seaborn

Job description

About the Role

Our client, a forward-thinking technology firm specializing in data analytics for resource industries, is seeking a highly skilled Data Scientist to join their fully remote team. This pivotal role will involve leveraging advanced statistical techniques, machine learning algorithms, and data mining methods to extract actionable insights from complex datasets related to mining operations. You will be instrumental in developing predictive models, optimizing operational efficiencies, and driving strategic decision-making through data-driven narratives. The ideal candidate possesses a strong quantitative background, exceptional programming skills, and a passion for solving challenging problems in a distributed environment. As a remote-first employee, you will collaborate closely with cross-functional teams, including geologists, engineers, and business analysts, using state-of-the-art collaboration tools. This position offers a unique opportunity to shape the future of data analytics in the mining sector, working on impactful projects without the constraints of a physical office. We are looking for an individual who thrives on innovation and can independently contribute to groundbreaking data science initiatives.

Key Responsibilities

• Design, develop, and implement machine learning models and algorithms to address business challenges.
• Analyze large, complex datasets to identify trends, patterns, and insights relevant to mining operations.
• Develop predictive models for equipment failure, production output, and resource grades.
• Create data visualizations and dashboards to communicate findings effectively to technical and non-technical stakeholders.
• Collaborate with domain experts to understand data sources and define analytical approaches.
• Perform data wrangling, cleaning, and feature engineering to prepare data for modeling.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Contribute to the development and maintenance of the company's data infrastructure and analytics platforms.
• Document methodologies, models, and results thoroughly.
• Participate in code reviews and contribute to the overall quality of the data science codebase.

Requirements

• A Master's or PhD degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• 5+ years of professional experience in data science or a similar analytical role, preferably within or servicing the mining industry.
• Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and R.
• Strong experience with SQL and working with relational databases.
• Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Solid understanding of statistical modeling, machine learning algorithms, and experimental design.
• Excellent problem-solving, critical thinking, and analytical skills.
• Ability to work independently and manage multiple projects simultaneously in a remote setting.
• Strong communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).

Benefits

• As a remote employee, you will receive a competitive salary and comprehensive benefits package, including health insurance, retirement contributions, and generous paid time off.
• Our client provides a stipend for home office setup and ongoing professional development opportunities, including access to online courses, workshops, and conferences.
• Join a collaborative and innovative remote team where your expertise in data science will directly contribute to optimizing critical industries and driving technological advancements.
• This role offers significant autonomy and the chance to grow your career in a flexible, home-based environment.