Data Scientist - Montréal, Canada - ALS Global

ALS Global

Verified Company

Montréal, Canada

2 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

Imagine your future with us

At ALS, we encourage you to dream big.

When you join ALS, you join a purpose and values-driven team that empowers you to innovate, create, and thrive.

Our global team turns up each day with passion and commitment to do amazing things, always challenging our thinking to find ways to solve some of the world's most complex problems for a safer, healthier world.

About ALS GoldSpot Discoveries

ALS GoldSpot Discoveries is revolutionizing the mining and mineral exploration industry with intelligent geoscience workflows and improved discovery rates.

We break down barriers using data-driven science, artificial intelligence, and machine learning. We provide the industry with more accurate analyses and more efficient decision making.

About the role

Remote/Hybrid | Full-time | Mid-level

Key Responsibilities:

Collaborate with domain experts and clients to define the problem statement, scope, and objectives of the project.
Utilize datadriven methods and models to identify, evaluate and improve existing processes.
Perform data collection, preprocessing, exploration, and analysis using various tools and techniques.
Develop, train, test, and optimize machine learning models using stateoftheart frameworks and libraries.
Develop strategies for efficient processing of complex datasets.
Dissecting academic papers and reimplementing key methods
Design and implement experiments to test hypotheses.
Present findings and recommendations to internal stakeholders using data visualization techniques.
Prepare detailed reports of analysis results for internal and external clients.
Provide technical support to team members in the use of advanced data analysis and modelling tools.

About you:

Proficiency in Python for data processing (pandas and NumPy), statistical analysis, machine learning (TensorFlow and pytorch), and visualization (matplotlib, seaborn, etc.).
Familiarity with data modeling, data structures and algorithms.
Knowledge of web development frameworks and technologies such as Flask, Django, React, HTML, CSS, JavaScript, etc.
Ability to work independently and collaboratively in a fastpaced and dynamic environment.
Excellent problem solving, critical thinking, and communication skills.
Excellent communication and presentation skills.
Strong background in theoretical & mathematical computer science problems.

Required Qualifications:

Masters degree in computer science, mathematics, engineering, or related quantitative discipline.
A minimum of 1 years' industrial experience in data science.

Physical Demands:

Conduct general office work at a desk, which includes periodic sedentary responsibilities.

Working at ALS

Our people are our most valuable asset and drive our success at ALS. We are a diverse community of dedicated professionals united by our passion to make a difference in the world. We reward excellence and uphold our values in our work and how we treat each other.

At ALS, you'll be supported to expand your skills and develop new ones so you can reach your full potential.

We invest in our people with a range of programs and provide opportunities across the company, giving our people scope to grow diverse careers and develop as leaders.

We want everyone to have a safe, flexible and rewarding career that makes a positive impact on our people, the planet and the communities where we work.

Our benefits include:

Competitive salary ranging from $85,000100,000
Structured wage increases
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 elearnings and more)

Please note:
benefits vary based on employee status

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.