IT & Software

Senior Data Scientist - Machine Learning

Placements24

Kimberley · Regional District Of East Kootenay · Canada

About the Role

Our client is actively seeking an experienced Senior Data Scientist with a specialization in Machine Learning to join their innovative team. This role operates in a fully remote capacity, offering the opportunity to leverage vast datasets and cutting-edge ML techniques to drive business insights and solutions. You will lead the development and implementation of predictive models, work on complex data challenges, and collaborate with stakeholders across the organization to translate data into actionable strategies. This is a unique chance to excel in a forward-thinking company, contributing significantly to data-driven decision-making from anywhere, fostering a culture of continuous learning and technological advancement in a remote-first setting.

Key Responsibilities

  • Design, develop, and deploy sophisticated machine learning models to address complex business problems.
  • Conduct exploratory data analysis, feature engineering, and model evaluation.
  • Collaborate with product managers, engineers, and business analysts to define project requirements and deliverables.
  • Stay current with the latest advancements in machine learning, artificial intelligence, and data science techniques.
  • Mentor junior data scientists and contribute to the team's technical growth and knowledge sharing.
  • Communicate complex findings and recommendations clearly to both technical and non-technical audiences.

Requirements

  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Minimum of 5 years of professional experience as a Data Scientist, with a strong focus on machine learning.
  • Proficiency in programming languages such as Python or R, and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Solid understanding of statistical modeling, experimental design, and data mining techniques.
  • Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
  • Proven ability to lead projects and work effectively in a remote team environment.

Benefits

  • Highly competitive salary and bonus structure.
  • Comprehensive health, dental, and vision insurance.
  • Generous home office setup budget and remote work allowances.
  • Unlimited professional development opportunities and conference attendance.
  • A flexible, autonomous, and collaborative remote work experience focused on innovation and impact.
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Reference: WJ-2742_353238

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