Remote Data Scientist: NLP & AI for PE Analytics

SESAMm SAS; Remote; CAD 85,000 - 100,000; Full time

Job summary

A technology company is seeking a Data Scientist to join an innovative AI platform project. The role involves conducting advanced data analysis to support investment decision-making and collaborating with cross-functional teams. Ideal candidates should have a Master’s degree and 3–5 years of experience in data science, with strong skills in Python and SQL. The position offers flexibility and opportunities for professional growth in a multicultural environment.

Qualifications

• Master’s degree in a relevant field.
• 3–5 years of experience in data science.
• Proficiency in Python, SQL, and data-science libraries.

Responsibilities

• Conduct advanced data analysis to support investment decision-making.
• Collaborate with cross-functional teams to develop AI platform features.
• Apply machine learning techniques to natural language processing tasks.
• Create reproducible analytical workflows and document findings.

Skills

Python

SQL

Data analysis

Machine learning

Natural Language Processing (NLP)

Education

Master’s degree in Computer Science, Statistics, Engineering, or related field

Tools

Pandas

Scikit-learn

spaCy

Job description

Remote Data Scientist: NLP & AI for PE Analytics SESAMm SAS – Toronto, Canada

A technology company specializing in data analysis is seeking a Data Scientist to join an innovative AI platform project. You will conduct advanced data analysis, support investment decision‑making, and collaborate with cross‑functional teams. Ideal candidates have a Master’s degree and 3–5 years of experience in data science, with strong skills in Python and SQL. This role offers flexibility and opportunities for professional growth in a multicultural environment.

Responsibilities

• Conduct advanced data analysis to support investment decision‑making.
• Collaborate with cross‑functional teams to develop AI platform features.
• Apply machine learning techniques to natural language processing tasks.
• Create reproducible analytical workflows and document findings.

Qualifications

• Master’s degree in Computer Science, Statistics, Engineering, or related field.
• 3–5 years of professional experience in data science.
• Proficiency in Python, SQL, and data‑science libraries (e.g., pandas, scikit‑learn, spaCy).
• Experience with NLP, ML, and AI platforms is a plus.