Remote Lead Data Scientist

Placements24; Kimberley; Hybrid; CAD 140,000 - 210,000; Full time

Benefits offered by this job

Industry-leading salary equity/stock

Health, dental, and vision insurance

Professional development budget

Fully remote with autonomy

Global collaboration

Job summary

Placements24 is seeking a Lead Data Scientist for a fully remote role to steer advanced analytics and ML initiatives. You will mentor a team of data scientists, translate complex insights into business strategies, and collaborate with global stakeholders.

As a remote leader, you will shape data strategy, deploy end-to-end data pipelines, and drive innovation across the organization while championing data-driven decision making.

Qualifications

• PhD or Master’s degree in a quantitative field (e.g., CS, stats, math, physics).
• 7+ years of data science experience, with at least 2 years in leadership or mentoring.
• Proven track record leading data science projects from conception to production.
• Expertise in statistical modelling and ML algorithms; data mining techniques.
• Proficiency in Python or R and libraries like Scikit‑learn, TensorFlow, PyTorch.
• Strong SQL skills and experience with big data (Spark/Hadoop) and cloud MLops.

Responsibilities

• Lead design and implementation of advanced statistical models and ML algorithms.
• Develop and manage end‑to‑end data science projects from data prep to deployment.
• Mentor and guide a team of data scientists and foster collaboration.
• Collaborate with product, engineering, and marketing to identify opportunities.
• Develop and maintain robust data pipelines and infrastructure.
• Communicate findings clearly to technical and non‑technical audiences with visuals.
• Stay at the forefront of ML research and drive innovation.
• Ensure ethical and responsible use of data and models.
• Contribute to the company’s data strategy and roadmap.
• Design and conduct A/B tests to validate hypotheses and measure impact.

Skills

Leadership

Mentoring

Communication

Problem solving

Remote collaboration

Statistical modelling

Machine learning

Data visualization

Education

PhD/Master's in a quantitative field

Tools

Python

R

Scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

SQL

Spark

Hadoop

AWS

Azure

GCP

Job description

About the Role

Our client, a cutting-edge data analytics firm, is looking for an exceptional Lead Data Scientist to spearhead their advanced analytics initiatives. This is a fully remote position offering the unique opportunity to shape data strategies, mentor a team of talented data scientists, and drive innovation through machine learning and statistical modeling. The ideal candidate will possess a profound understanding of complex data structures, advanced analytical techniques, and a proven ability to translate data-driven insights into actionable business strategies. As a remote leader, you will collaborate with cross‑functional teams globally, championing data‑driven decision‑making across the organization. This role requires a strategic thinker with strong leadership capabilities and a passion for unlocking the potential of data.

Key Responsibilities

• Lead the design and implementation of advanced statistical models and machine learning algorithms to solve complex business problems.
• Develop and manage end‑to‑end data science projects, from data extraction and preprocessing to model deployment and evaluation.
• Mentor and guide a team of data scientists, providing technical leadership and fostering a collaborative research environment.
• Collaborate with stakeholders across various departments (e.g., product, engineering, marketing) to identify opportunities for data science application.
• Develop and maintain robust data pipelines and infrastructure to support analytical workflows.
• Communicate complex findings and recommendations clearly and effectively to both technical and non‑technical audiences through compelling visualisations and presentations.
• Stay at the forefront of research in machine learning, artificial intelligence, and statistical modelling, and identify opportunities for innovation.
• Ensure the ethical and responsible use of data and models.
• Contribute to the company’s data strategy and roadmap.
• Design and conduct A/B tests and other experiments to validate hypotheses and measure impact.

Requirements

• Ph.D. or Master’s degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• 7+ years of professional experience in data science or a related analytical role, with at least 2 years in a leadership or mentoring capacity.
• Proven experience in leading complex data science projects from conception to production.
• Expertise in statistical modelling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and data mining techniques.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Scikit‑learn, TensorFlow, PyTorch, Pandas, NumPy).
• Strong experience with SQL and working with large datasets, including experience with big data technologies (e.g., Spark, Hadoop).
• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and MLOps practices.
• Excellent communication, presentation, and storytelling skills, with the ability to explain complex technical concepts to diverse audiences.
• Strong problem‑solving skills and a results‑oriented mindset.
• Demonstrated ability to work independently and collaboratively in a remote team environment.

Benefits

• Our client offers an industry‑leading salary, significant equity/stock options, comprehensive health, dental, and vision insurance, and a generous professional development budget.
• This fully remote role provides unparalleled autonomy, the opportunity to work on challenging and impactful projects, and the chance to lead a talented team from anywhere in the world.
• Join a pioneering company at the forefront of data innovation.