Job Description
Job Title: Data Scientist
Job Type: Full-time
Location: Remote
About Us:
At micro1, we’re all about connecting skilled remote professionals with some of the best companies in Silicon Valley. Our mission is to offer a stable, competitive income, along with access to top industry opportunities—all in a flexible work setting with a range of great benefits. We’re here to help you grow in your career. We’re proud to work with trusted partners such as Deel, Immutable, O’Gara, and LegalSoft.
What We Offer:
- Work from anywhere
- Healthcare reimbursement
- Wi-Fi Reimbursement
- Unlimited Learning: Access to Udemy courses, books, and everything you need to keep growing
- And So Much More: We’re not just about work—we’re about creating an environment where you’ll love to be!
Job Summary:
Join micro1 as a Data Scientist and become a critical part of a team that values innovation and data-driven decisions. You’ll leverage your expertise in machine learning and data analysis to drive the future of technology solutions for top Silicon Valley companies. Enjoy a flexible work environment while developing your career with access to endless learning opportunities.
Key Responsibilities:
– Analyze complex datasets to provide actionable insights.
– Develop and implement predictive models to solve business challenges.
– Collaborate closely with cross-functional teams on innovative AI projects.
– Utilize Python/R to streamline data analysis processes.
– Ensure high-level data accuracy and integrity in all projects.
– Communicate findings effectively through verbal and written reports.
– Contribute to the continuous improvement of data science techniques within the team.
Required Skills and Qualifications:
– Proven experience in data analysis and machine learning.
– Proficiency in Python/R for data manipulation and modeling.
– Strong problem-solving skills with a focus on innovation.
– Excellent written and verbal communication skills.
– Ability to work independently in a remote setup.
– Commitment to continuous learning and development.
Preferred Qualifications:
– Experience with deep learning frameworks.
– Background in large-scale data processing and analysis.