Lead Data Scientist - Mining Analytics

Placements24; Kimberley; Remote; CAD 140,000 - 230,000; Full time

Benefits offered by this job

Competitive salary and bonus structure

Private medical insurance

Retirement planning options

Generous paid time off

Remote work with flexible location

Job summary

Placements24 is seeking an experienced Lead Data Scientist to spearhead advanced analytics initiatives in a fully remote role based in Canada. You will lead a team of data scientists and analysts, shaping the data strategy and delivering cutting-edge ML solutions for mining operations, maintenance, safety, and exploration.

The ideal candidate has 8+ years in data science with 3+ years in leadership, deep expertise in Python/R and ML libraries, and a track record of delivering data-driven

Qualifications

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• A minimum of 8 years of progressive experience in data science and ML, with at least 3 years in leadership.
• Proven experience applying data science to industrial/operational environments, preferably mining.
• Expertise in Python or R and data science libraries (scikit-learn, TensorFlow, PyTorch).
• Strong experience with big data tech (Spark, Hadoop) and database management (SQL, NoSQL).
• Excellent leadership, mentoring, and communication skills.
• Experience working in fully remote teams is essential.

Responsibilities

• Lead the development and implementation of data science strategies for mining operations, maintenance, safety, and exploration.
• Design, build, and deploy advanced ML models (predictive maintenance, anomaly detection, optimization).
• Oversee the data science lifecycle from data acquisition to deployment.
• Mentor a team of data scientists and analysts, fostering high performance.
• Collaborate with engineers, geologists, and operations managers to translate needs into data science solutions.
• Develop and maintain robust data pipelines and analytics infrastructure.
• Communicate findings clearly to technical and non-technical stakeholders.

Skills

Leadership & team management

Data science

Python

R

Machine learning

Big data

Education

Master's or PhD in Data Science / CS / Statistics

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

SQL/NoSQL databases

Job description

About the Role

Our client, a pioneering technology firm specializing in the mining sector, is seeking an experienced Lead Data Scientist to spearhead their advanced analytics initiatives. This fully remote position requires a visionary leader with a passion for leveraging data to drive operational efficiency, predictive maintenance, and resource optimization within mining contexts. You will lead a team of data scientists and analysts, defining the company's data strategy and developing cutting-edge machine learning models and analytical solutions. The ideal candidate possesses a deep understanding of statistical modeling, machine learning algorithms, and big data technologies, coupled with strong leadership and communication skills. This is a unique opportunity to shape the future of data-driven decision-making in the mining industry from a remote setting. The role demands innovation, strategic thinking, and the ability to translate complex data insights into actionable business strategies.

Key Responsibilities

• Lead the development and implementation of data science strategies and projects focused on mining operations, maintenance, safety, and exploration.
• Design, build, and deploy advanced machine learning models (e.g., predictive maintenance, anomaly detection, optimization algorithms) using large, complex datasets.
• Oversee the entire data science lifecycle, from data acquisition and cleaning to model development, validation, and deployment.
• Manage and mentor a team of data scientists and analysts, fostering a collaborative and high-performing environment.
• Collaborate with cross-functional teams, including engineers, geologists, and operations managers, to identify business needs and translate them into data science solutions.
• Develop and maintain robust data pipelines and infrastructure for analytical workloads.
• Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical stakeholders through virtual presentations and reports.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, and evaluate their applicability to the mining industry.
• Ensure the ethical and responsible use of data and promote data governance best practices.
• Drive innovation in data analytics within the mining sector.

Requirements

• A Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• A minimum of 8 years of progressive experience in data science and machine learning, with at least 3 years in a leadership or team management role.
• Proven experience applying data science techniques to solve complex problems in industrial or operational environments, preferably mining.
• Expertise in programming languages such as Python or R, and proficiency with data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with big data technologies (e.g., Spark, Hadoop) and database management (SQL, NoSQL).
• Excellent understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Strong leadership, mentoring, and team-building skills.
• Exceptional problem-solving, analytical, and critical thinking abilities.
• Outstanding communication and presentation skills, with the ability to convey technical concepts to diverse audiences.
• Experience working effectively in a fully remote team environment is essential.

Benefits

Our client offers a highly competitive salary and bonus structure, reflecting the seniority and impact of this role. A comprehensive benefits package includes private medical insurance, retirement planning options, and generous paid time off. This is a remote position, offering exceptional flexibility and the opportunity to work from anywhere. Professional development opportunities and exposure to cutting-edge technologies in the mining sector are extensive. The company fosters a culture of innovation and provides the resources needed for remote success.