Data Scientist - Fluent English

artefactlinkedin; United States; Remote; USD 100,000 - 140,000; Full time

Benefits offered by this job

Fully remote

Meal and transportation allowance

Gympass

Insurance (life, health, dental)

Coworking access via Woba

Get Together events (bi-monthly)

Job summary

artefactlinkedin is seeking a data science professional for a role within its data and consulting practice. The position is fully remote from Brazil under a Free Office model, and requires fluent English for collaboration with international teams.

The role covers the full project lifecycle from data collection to production of models, with responsibilities spanning collaboration across consultants, engineers and data scientists.

Qualifications

• Bachelor's level degree in data science, ML, mathematics, CS, statistics, engineering, economics or related field
• Foundational statistics and programming knowledge (Python or R)
• Fluent English for cross-border collaboration
• Curiosity for innovative client solutions across delivery chain
• Collaborative mindset and willingness to share knowledge
• Entrepreneurial drive to propose ideas and approaches

Responsibilities

• Partner with consultants, data scientists and engineers to identify client needs and design data-driven solutions.
• Contribute across data collection, processing, exploratory analysis, ML modeling and productionization.
• Collaborate in a knowledge-sharing team and share industry updates.
• Help design, implement and optimize analytical solutions with senior guidance on performance and scalability.
• Translate technical concepts into business-friendly language for stakeholders.
• Manage priorities, meet deadlines and proactively flag risks.

Skills

Data science

Statistics

English communication

Curiosity

Collaboration

Entrepreneurial drive

Education

Undergraduate degree in data science or related field

Tools

Python

R

Job description

Role overview

A data science role within a data and consulting practice that helps clients turn large datasets and AI into measurable business value. The position is based in Brazil under a fully remote, "Free Office" model and requires fluent English for collaboration across international teams.

Responsibilities

• Partner with consultants, data scientists, and engineers to identify client needs and design innovative data-driven solutions.
• Contribute across the full project value chain, including data collection, processing, exploratory analysis, machine learning modeling, and putting models into production.
• Collaborate inside a knowledge-sharing team, learning from peers and contributing back through updates on industry news and methods.
• Help design, implement, and optimize analytical solutions, with senior scientists available for guidance on performance and scalability.
• Translate technical concepts into language that business-oriented colleagues can understand and act on.
• Manage own priorities, meet deadlines, and flag risks or blockers proactively.

Requirements

• Completed undergraduate degree in data science, machine learning, mathematics, computer science, statistics, engineering, economics, or a related field.
• Some foundational knowledge of statistics and programming in Python or R.
• Comfort communicating in fluent English within an international work environment.
• Curiosity for innovative client solutions and willingness to engage across the entire delivery chain.
• Collaborative mindset with active interest in sharing knowledge across the team.
• Entrepreneurial drive to propose new ideas and approaches.

Benefits and work setup

• Fully remote "Free Office" arrangement, allowing work from home or any location.
• Meal and transportation allowance (VR/VT).
• Gympass access for gyms and wellness programs.
• Life, health, and dental insurance coverage.
• Coworking access via Woba so coworkers can book spaces wherever they prefer.
• Bi-monthly in-person "Get Together" events combining workshops, talks, training, and social time.
• Semi-annual performance evaluations with promotion opportunities.