Senior Data Scientist - Machine Learning Specialist (Remote)

Placements24; Kimberley; Hybrid; CAD 120,000 - 170,000; Full time

Benefits offered by this job

Remote-first culture

Competitive compensation and bonuses

Health, dental, vision plans

Professional development budget

Job summary

Placements24 seeks a Senior Data Scientist specializing in machine learning to design, develop, and deploy predictive models for business decisions. You will work with large datasets, build algorithms, and translate findings for stakeholders.

This remote-first role offers flexible hours, competitive compensation, health benefits, and opportunities to work with cutting-edge technologies across cloud platforms.

Qualifications

• Master's degree or PhD in Computer Science, Statistics, Mathematics, or related quantitative field.
• Minimum 5 years of professional experience as a Data Scientist with strong ML focus.
• Proficiency in Python or R and libraries (Scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Solid understanding of statistical modeling, algorithms, and data mining techniques.
• Excellent problem-solving, analytical, and communication skills.

Responsibilities

• Design, develop, and implement ML models for predictive analytics, classification, clustering.
• Process, clean, and transform large datasets from various sources.
• Conduct exploratory data analysis to identify trends and opportunities.
• Deploy ML models into production and monitor performance.
• Collaborate with engineering and product teams to integrate DS solutions.
• Communicate findings to technical and non-technical stakeholders.

Skills

Python

R

Scikit-learn

TensorFlow

PyTorch

Big data processing

Data analysis

Education

Master's degree or PhD in CS/Stats/Math

Tools

Spark

Hadoop

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a highly skilled and motivated Senior Data Scientist with a specialization in Machine Learning to join their dynamic, remote-first team. This role is critical for developing and deploying advanced analytical models that drive business decisions and product innovation. You will leverage large datasets, build sophisticated algorithms, and translate complex findings into actionable insights for stakeholders across the organization. This is an exceptional opportunity for an experienced data professional to work on challenging projects, influence data strategy, and contribute significantly to the company's growth from anywhere, fully remotely.

Key Responsibilities

• Design, develop, and implement machine learning models for predictive analytics, classification, and clustering tasks.
• Process, clean, and transform large, complex datasets from various sources.
• Conduct exploratory data analysis to identify trends, patterns, and opportunities.
• Deploy machine learning models into production environments and monitor their performance.
• Collaborate with engineering and product teams to integrate data science solutions.
• Communicate complex technical findings and recommendations 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 relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Solid understanding of statistical modeling, algorithms, and data mining techniques.
• Excellent problem-solving, analytical, and communication skills.

Benefits

• Highly competitive annual salary and performance-based bonuses.
• Fully remote work environment with flexible working hours.
• Comprehensive health, dental, and vision insurance plans.
• Generous budget for professional development, conferences, and online courses.
• Opportunity to work with cutting-edge technologies and solve impactful problems.