Data Scientist

2 days ago

Montreal, Quebec, Canada EarthLabs, Inc. (TSXV: SPOT | OTCQX: SPOFF | FSE: 8EK0) Full time
About EarthLabs Inc.

EarthLabs Inc. is a leading mining investment and technology company that aims to maximize torque in the junior resource sector through cash investments, a royalty portfolio, and a comprehensive suite of data-driven media SaaS tools and services. Our company represents a collection of industry-leading earth modeling, geology data management, and specialized financial products that help both mining companies and mining investors make better decisions.

Job Title: Sr. Data Scientist

We are seeking an analytical Sr. Data Scientist with 5 to 10 years of experience to join our team. The ideal candidate will bring expertise in spatial data and financial markets, complementing our existing team by applying data science and machine learning to our intriguing data challenges.

Key Responsibilities:
  • Develop solutions for real-world, large-scale problems.
  • Work with large amounts of data, including raw geoscience data, spatial data, raw text data, and financial investment data.
  • Research and test machine learning algorithms to solve various data challenges.
  • Draft reports, create proposals, and give presentations on research and results.
  • Collaborate with a high-performing, collaborative, and diverse team.
  • Bring your enthusiasm for innovation, exploration, and intellectual curiosity to the table.
  • Undertake additional ad hoc assignments and duties as required.
Qualifications:
  • BS/MS in Data Science, Computer Science, Mathematics, Economics, or other related fields is a must.
  • 5 to 10 years of professional experience in data science or related fields.
  • Proficiency in Pandas, NumPy, scikit-learn.
  • Experience writing and understanding Python code.
  • Familiarity with version control platforms.
  • Proficiency in data manipulation and cleaning (pipelining).
  • Strong knowledge of spatial data analysis and geospatial tools.
  • Excellent communication and collaboration skills.
  • Understanding of financial markets and investment data is a plus.
Nice to Haves:
  • Experience with AWS services.
  • Experience with PyTorch or TensorFlow.
  • Experience in financial back-testing.
  • Experience with Regex.
What EarthLabs Offers

Competitive salary and a comprehensive benefits package.

A dynamic, diverse, and highly collaborative workplace.

Casual business environment with significant flexibility.

Opportunity to join a successful start-up in its early stages and grow with the company.

A focus and emphasis on personal development.

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