Job Description

At ALS, we encourage you to dream big.
When you join us, you'll be part of a global team harnessing the power of scientific testing and data-driven insights to build a healthier future.
About the role
Full-time | Hybrid or Remote
As a Senior Geo-Data Scientist in ALS Geoanalytics' Orebody Knowledge division, you'll supervise projects that integrate geoscience and machine learning to address mineral exploration and mining challenges globally. You'll independently manage project tasks, ensuring high-quality work, timely delivery, and effective collaboration with internal teams and clients. Additionally, you'll play a key role in business growth by attracting new clients and retaining existing ones.
Key Responsibilities:

• Consulting: Provide specialist consulting services to exploration and mining companies. Work with colleagues and supervise junior staff to perform rigorous interpretations and treatments of geoscience data to generate high-quality products and information for use in targeting and modelling of orebody characteristics. Creating and adhering to a plan and timeline within the scope of a consulting agreement is critical. Within these consulting agreements solve bespoke data-driven challenges using knowledge of geoscience and Python programming. Perform site visits and provide technical guidance to clients, as required.
• Business Development: Engage with potential clients and comprehensively pitch relevant products and services. Provide support for data reviews, project scoping, and consulting proposals.
• Collaboration: Active and effective participation in project team meetings and technical collaborations both within the company and with 3rd party partners or consulting clients. Travel as required to ALS Geoanalytics offices for training and project collaboration.
• Client Engagement: Effectively communicate and describe technical aspects to clients in a professional and knowledgeable manner. Participate in generation and delivery of technical summary presentations and reports.
• Professional development: Expand knowledge of techniques and services provided by ALS Geoanalytics by interacting with senior staff around the group. Maintain awareness of the state-of-the-art in geoscience and data science at large through attendance of conferences, online/offline training, and networking, both internal and external.
• Cross-Departmental Collaboration: Assist other ALS Geoanalytics departments (such as SaaS, and R and D), and other ALS business units (such as Geochemistry and MPTS) as indicated by your line manager.
• Health and Safety: Observe established safety regulations and comply with all ALS health and safety policies and procedures.

About you:

• Project Supervision: Demonstrated experience in supervising diverse teams to holistically solve challenging problems using the intersection of distinct skill sets.
• Machine Learning and Programming: Comfortable integrating and working with large geoscientific datasets in the Python scientific programming language, and workflows involving Machine Learning and Artificial Intelligence (Scikit-Learn, Keras, TensorFlow, etc.).
• Communication: Demonstrated capability to articulate complex concept to diverse audiences, delivering clear and concise reports and presentations. Excellent verbal and written communication skills (English required, Spanish and/or Portuguese are helpful).
• Geoscientific Data Interpretation: Demonstrated skill in performing interpretations and analysis of geoscience data that produce high-quality products. Knowledge of data integration and interpretation methods for a variety of geological environments and mineralization styles.
• Geoscientific Software: Intermediate level user of GIS software such as QGIS, geochemical software such as ioGAS, and/or 3D software such as LeapFrog.

Required Qualifications:

• A minimum of 5 years of full-time, practical experience with an exploration, mining, or geoscience consulting company.
• Demonstrated capability to work with geoscientific data using the Python programming language and implement basic Machine Learning workflows.
• Post secondary degree in geology, geological sciences, or geological engineering.

Physical Demands:

• Manual dexterity to perform intricate and/or repetitive tasks;
• Wear issued personal protective equipment (PPE) such as dust masks, gloves etc., when required (during site visits);
• Ability to sit at a desk and do general office work, which includes sedentary responsibilities.

Our benefits include:

• An estimated annual salary ranging from $110,000 - $130,000 at the time of posting. Individual compensation is determined by factors such as job-related skills, relevant experience, education and/or training.
• Comprehensive benefit package specific to your work status (including extended medical, dental, and vision coverage, access to company perks, life and disability insurance, retirement plan with company match, employee assistance and wellness programs)
• Additional vacation days for years of service
• Business support for education or training after 9 months with the company
• Learning & development opportunities (unlimited access to e-learnings and more)

Please note: Benefits vary based on employee status.
Working at ALS
The ALS team is a diverse and dedicated community united by our passion to make a difference in the world.
Our values are important to us, and shape how we work, how we treat each other and how we recognise excellence.
At ALS, you'll be supported to develop new skills and reach your full potential. We invest in our people with programs and opportunities that help you build a diverse career with us.
We want everyone to have a safe, flexible and rewarding career that makes a positive impact on our people, the planet and our communities.
Everyone Matters
ALS is proud to be an equal opportunity employer and is committed to fostering an inclusive work environment where the strengths and perspectives of each employee are both recognised and valued.
Qualified candidates will be considered without regard to race, colour, religion, national origin, military or veteran status, gender, age, disabilities, sexual orientation, gender identity, pregnancy and pregnancy-related conditions, genetic information and any other characteristics protected by the law. We invite resumes from all interested parties, including women, First Nations Metis and Inuit persons, members of minority groups, and persons living with disabilities.
ALS also welcomes applications from people with all levels of ability. Accommodation is available on request for candidates taking part in all aspects of the selection process.
Eligibility
To be eligible to work at ALS you must be a Citizen or Permanent Resident of the country you are applying for, or either hold or be able to obtain, a valid working visa.
How to apply
Please apply on-line and provide a cover letter and CV that best demonstrate your motivation and ability to meet the requirements of this role.