Razor Labs, a publicly traded company, leader in the mining tech sector, specializes in predictive maintenance with our flagship product, DataMind AI. Our Sensor Fusion technology forecasts equipment failures, enhancing operational efficiency and safety utilizing cutting-edge AI technologies. We have a strong presence in key mining regions, including Australia and South Africa, where our solutions have driven significant improvements.

We are seeking a highly qualified Senior Data Scientist to join our innovative team. You will play a key role in driving our ground-breaking products forward by providing critical data driven insights. You will be analyzing, interpreting, and extracting diverse datasets, including multi-dimensional data, time series and Video.

• Extract valuable insights from multi-dimensional data, time series and Video.
• Collaborate closely with cross-functional teams to understand business requirements and translate them into actionable data-driven solutions.
• Manage and develop data pipelines from various sources, such as XLS, CSV, JPEG, and Image Raw data.
• Create meaningful data visualizations and dashboards to effectively present findings and insights.
• Work with engineers and software developers to integrate data science solutions into existing systems and workflows.
• Stay updated with the latest advancements in data science, machine learning, and AI technologies.
  
  

Requirements:

• Minimum of 3 years of professional experience in data science or a related field.
• Proficiency in Python programming and libraries such as Pandas, NumPy, SciPy, and Pytorch.
• Strong experience with parsing, analyzing, and summarizing data statistically.
• Familiarity with various data types, including Parquet, XLS, CSV, Images.
• Familiar with database technologies such as BigQuery, PostgreSQL.
• Excellent written and verbal communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Bachelor's degree or higher in Computer Science, Statistics, Mathematics
• Demonstrated ability to follow development procedures and best practices, including version control, code documentation, and testing.
• Strong problem-solving skills and attention to detail.
• Ability to work independently and collaboratively in a fast-paced environment.
• Bonus Skill:**- Experience with running analytical models using ML toolbox or similar platforms.