Data Scientist SME

Job summary

Review and evaluate complex technical and quantitative information to solve analytical problems. Develop clear written explanations of technical concepts while ensuring accuracy and quality of datasets and methodologies.

Job details

Location: Remote Contract: 3 months, with potential for extension Hours: 30–40 hours per week Schedule: Flexible The Opportunity We are seeking experienced Data Science professionals for a fully remote project where you will apply your technical expertise, analytical skills, and professional judgment to specialized project work. This opportunity is ideal for professionals with strong academic or industry experience who enjoy solving complex problems, evaluating technical information, and applying their expertise in a flexible, project-based environment. Work can be completed throughout the week, allowing you to manage your own schedule while meeting project requirements and deadlines. What You'll Do Depending on your area of expertise, you may: Review and evaluate complex technical and quantitative information Apply data science expertise to specialized assignments Analyze datasets, methodologies, and technical approaches Assess information for accuracy, logic, relevance, and quality Identify errors, inconsistencies, or areas requiring improvement Solve quantitative and analytical problems Develop clear, well-reasoned written explanations of technical concepts Follow detailed project guidelines and quality standards Complete work independently while managing your own schedule What We're Looking For We're looking for individuals who bring: A Master's degree or PhD in Data Science, Statistics, Computer Science, Mathematics, Applied Mathematics, Operations Research, Econometrics, or a closely related quantitative field At least three years of relevant professional, research, or academic experience Current PhD candidates in a related quantitative field may also be considered Strong knowledge of statistical analysis, quantitative methods, and data-driven problem solving Strong analytical and critical-thinking skills The ability to interpret complex technical information and communicate findings clearly Strong written communication skills High attention to detail and accuracy The ability to work independently in a remote, self-directed environment Experience in areas such as statistical modelling, predictive analytics, experimentation, optimization, machine learning, computational methods, or advanced quantitative research is considered an asset. Interested? If you have a strong background in Data Science or a related quantitative discipline and are interested in applying your expertise to a flexible remote project, we'd like to hear from you. Please apply with an up-to-date resume highlighting your education, technical experience, and areas of subject matter expertise. Qualified applicants will be contacted to discuss the opportunity and next steps.

What you’ll do

Review and evaluate complex technical and quantitative information to solve analytical problems. Develop clear written explanations of technical concepts while ensuring accuracy and quality of datasets and methodologies.

Requirements

Requires a Master's or PhD in a quantitative field such as Data Science, Statistics, or Computer Science. Candidates must have at least three years of relevant professional, research, or academic experience.

Listed skills

• Machine learning · Preferred
• Critical Thinking · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Statistical Analysis
• Quantitative Methods
• Data-Driven Problem Solving
• Critical Thinking
• Technical Communication
• Statistical Modelling
• Predictive Analytics
• Experimentation
• Optimization
• Machine Learning
• Computational Methods
• Quantitative Research

Job areas

• Data & Analytics
• Science & Research
• Technology
• Consulting
• Software