Data Scientist - Marketplace

Join the WorkMotion Talent Marketplace - Your Gateway to Global Remote Opportunities

We’re excited to invite passionate professionals like you to become part of the WorkMotion Talent Marketplace a curated pool of top remote talent connected with forward-thinking, international companies.

Our clients has hired 2000+ talents globally.

Joining the marketplace means stepping into a world of opportunity:
🌍 Collaborate with global teams
🕒 Enjoy flexible, remote-first work setups
🚀 Gain access to exclusive job openings across industries

Working with WorkMotion clients is more than just a job, it’s an opportunity to be part of dynamic, cross-cultural teams where trust, communication, and meaningful impact are the norm. Whether you're applying directly to open roles or being discovered by companies browsing the marketplace, you'll have the chance to grow professionally while working from anywhere in the world.

By applying, you’re taking the first step toward joining our global talent network and by doing so, you agree to share your professional profile and relevant information with WorkMotion and its clients for the purpose of job matching and communication.

Let’s build the future of work, together, from anywhere.

Requirements

Job Summary As a mid-level Data Scientist, you’ll turn data into actionable insights. You’ll design models, visualize results, and collaborate with cross-functional teams to drive data-backed decisions that shape our platform’s future.

What you’ll do as a Mid-Level Data Scientist…

• Collect, clean, and transform large datasets.
• Build, validate, and deploy predictive models to solve business challenges.
• Present findings in a clear, actionable format for stakeholders.
• Collaborate with product and engineering teams to implement data-driven solutions.
• Conduct experiments to explore new data sources and modeling techniques.
• Keep up with the latest trends in AI/ML and data technologies.

What we’re looking for…

• 3–5 years of experience in data science.
• Proficiency in Python or R, plus libraries such as pandas, NumPy, scikit-learn.
• Knowledge of statistics, machine learning, and experimental design.
• Experience with data visualization (Tableau, Power BI, or similar).
• Familiarity with cloud-based data platforms (AWS, GCP, or Azure).
• Excellent problem-solving skills and attention to detail.
• A collaborative mindset, comfortable working in cross-functional teams.

Skills (Tags)

• Python / R
• Pandas, NumPy, scikit-learn
• ML & Statistical Analysis
• Data Cleaning & ETL
• Data Visualization (Tableau, Power BI)
• Experimentation & A/B Testing

Benefits

🌍 Benefits of Joining the WorkMotion Talent Marketplace

By joining the WorkMotion talent marketplace, you gain access to unique opportunities with leading international companies that value flexibility, innovation, and diverse global perspectives. Here’s what you can look forward to:

• Remote-First Work Environment
  Enjoy the freedom to work from anywhere while staying connected with inspiring teams around the world.
• Access to Global Career Opportunities
  Apply directly to remote roles or be discovered by international companies actively seeking top talent through the marketplace.
• Flexible Work Arrangements
  Work in a way that suits your lifestyle — whether it’s flexible hours, time zones, or work-life balance.
• Diverse, International Culture
  Collaborate with colleagues from different cultures, backgrounds, and industries — fostering growth, learning, and global thinking.
• Simplified Hiring and Onboarding
  WorkMotion handles all the complexities of international hiring, so you can focus on what matters most—your work.

🔐 Data Privacy & Consent

By applying to join the WorkMotion marketplace, you agree to share your personal and professional information with WorkMotion, its hiring partners and its affiliated clients. This allows you to be matched with relevant job opportunities and be contacted directly by employers within the network.

Let us take care of the logistics, while you focus on doing great work — from wherever you are. Welcome to the future of work!