Please, let WorkMotion know you found this job
on RemoteYeah.
This helps us grow 🌱.
Description:
Join the WorkMotion Talent Marketplace, a curated pool of top remote talent connected with international companies.
Collaborate with global teams and enjoy flexible, remote-first work setups.
Gain access to exclusive job openings across various industries.
As a mid-level Data Scientist, turn data into actionable insights by designing models, visualizing results, and collaborating with cross-functional teams.
Responsibilities include collecting, cleaning, and transforming large datasets, building and deploying predictive models, presenting findings to stakeholders, and conducting experiments to explore new data sources.
Stay updated with the latest trends in AI/ML and data technologies.
Requirements:
3–5 years of experience in data science is required.
Proficiency in Python or R, along with libraries such as pandas, NumPy, and scikit-learn is necessary.
Knowledge of statistics, machine learning, and experimental design is essential.
Experience with data visualization tools like Tableau or Power BI is required.
Familiarity with cloud-based data platforms such as AWS, GCP, or Azure is needed.
Excellent problem-solving skills and attention to detail are crucial.
A collaborative mindset and comfort in working within cross-functional teams are important.
Benefits:
Enjoy a remote-first work environment, allowing you to work from anywhere while staying connected with inspiring teams globally.
Gain access to global career opportunities by applying directly to remote roles or being discovered by international companies.
Benefit from flexible work arrangements that suit your lifestyle, including flexible hours and work-life balance.
Collaborate in a diverse, international culture that fosters growth, learning, and global thinking.
Experience simplified hiring and onboarding processes, as WorkMotion manages the complexities of international hiring.
Apply now
Please, let WorkMotion know you found this job
on RemoteYeah
.
This helps us grow 🌱.