Data Scientist

Role Overview

Lead data science projects, drive technical strategy, and bridge business and technical teams. Foster a culture of continuous learning and champion innovation in analytical methods.

What You Will Do

Build and deploy predictive models, perform advanced data analysis, and lead integration of traditional and nontraditional data sources. Implement CI/CD practices, establish model monitoring, and promote reusable components.

Why It Might Be a Fit

You will be a fit if you have 3-5 years of professional experience delivering production data science solutions, a proven track record leading analytical projects, and advanced proficiency with Python ecosystem.

Requirements

• Bachelor’s degree in Computer Science, Mathematics, Statistics, Data Science, or related quantitative field
• 3-5 years professional experience delivering production data science solutions
• Proven track record leading analytical projects with measurable business impact
• Advanced proficiency with Python ecosystem (scikit-learn, TensorFlow/PyTorch, pandas, numpy)
• Strong SQL skills and experience with cloud data platforms (AWS, Azure, Databricks)
• Experience with ML frameworks, version control (Git), and CI/CD for model deployment
• Demonstrated leadership through mentoring, technical presentations, or cross-functional project ownership

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Paid holidays
• Retirement plan
• Learning budget
• Parental leave
• Wellness program
• Visa sponsorship available
• Relocation assistance