Lead Data Scientist (Remote)

Placements24; Kimberley; Hybrid; CAD 140,000 - 180,000; Full time

Benefits offered by this job

Base salary + equity

Fully remote

Health, dental, vision

Retirement plan

Learning & development

Job summary

Placements24 seeks a Lead Data Scientist for a fully remote role with a cutting-edge fintech client. You will lead a team of data scientists, shaping data strategy and driving deployment of advanced ML models across products and operations.

The ideal candidate holds a PhD or MS in a quantitative field, 7+ years in data science, and strong leadership with excellent communication. Remote work is offered with competitive compensation and equity options.

Qualifications

• Ph.D. or Master’s degree in a quantitative field.
• Minimum 7 years in data science with 2+ years in leadership.
• Proficiency in ML techniques (regression, classification, clustering, DL) and modeling.
• Python or R with libraries like scikit-learn, TensorFlow, PyTorch.
• Experience with Spark/Hadoop and cloud platforms (AWS/Azure/GCP).
• Strong analytical, communication, and leadership skills, especially remote.

Responsibilities

• Lead a team of data scientists to develop and deploy ML models.
• Design and execute end-to-end data science projects from data mining to evaluation.
• Develop predictive models for customer behavior, risk, and forecasting.
• Collaborate with product, engineering, and business stakeholders.

Skills

Team leadership

Machine learning

Python

Data science

Cloud platforms

Big data

Education

Ph.D. or Master’s in Computer Science/Statistics/Math/Physics

Tools

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

AWS

Job description

About the Role

Our client, a cutting-edge financial technology firm, is seeking an innovative and experienced Lead Data Scientist to spearhead their data science initiatives. This position is fully remote, allowing you to work from any location while contributing to groundbreaking projects. You will lead a team of data scientists, guiding the development and deployment of advanced machine learning models, predictive analytics, and data-driven solutions that enhance product development, customer experience, and operational efficiency. The ideal candidate possesses a strong academic background in a quantitative field, extensive experience in machine learning and statistical modeling, and exceptional leadership skills. This remote-first role requires excellent communication and collaboration abilities to work effectively with cross‑functional teams. You will be instrumental in shaping the company's data strategy and driving innovation through data. We are looking for a visionary leader who can translate complex data insights into tangible business value. This role offers significant autonomy and the opportunity to make a substantial impact.

Key Responsibilities

• Lead a team of data scientists in developing and implementing advanced machine learning models and algorithms.


• Design and execute data science projects from conception to deployment, including data mining, feature engineering, and model evaluation.


• Develop predictive models for customer behavior, risk assessment, and financial forecasting.


• Collaborate with product managers, engineers, and business stakeholders to identify opportunities for data‑driven solutions.


• Mentor and guide junior data scientists, fostering a culture of learning and innovation.


• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.


• Communicate complex technical findings and recommendations to both technical and non‑technical audiences.


• Ensure the scalability, reliability, and efficiency of deployed data science solutions.

Requirements

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.


• Minimum of 7 years of experience in data science, with at least 2 years in a leadership or team lead role.


• Proven expertise in machine learning techniques (e.g., regression, classification, clustering, deep learning) and statistical modeling.


• Proficiency in programming languages such as Python or R, and experience with 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).


• Strong analytical, problem‑solving, and critical thinking skills.


• Excellent communication, presentation, and interpersonal skills, with the ability to lead effectively in a remote setting.


• Experience in the financial services industry is highly desirable.

Benefits

• Exceptional compensation package including base salary, bonus, and equity options.


• Full remote work flexibility with a generous home office allowance.


• Comprehensive health, dental, and vision insurance.


• Contribution to a retirement savings plan.


• Opportunities for continuous learning, attending top conferences, and professional development.


• Collaborative and innovative remote work culture.


• Access to state‑of‑the‑art data science tools and infrastructure.