You are viewing a preview of this job. Log in or register to view more details about this job.

Data Scientist

Β A fast-growing AI-driven SaaS company is looking for a Data Scientist to join its product development team. This is an exciting opportunity to work on cutting-edge machine learning models and data-driven insights that empower engineering leaders to make informed decisions. You’ll collaborate with cross-functional teams, analyze unique datasets, and develop innovative solutions that directly impact customers.

Role:

πŸ”Ή Work closely with product managers, designers, and engineers to build innovative, data-driven features
πŸ”Ή Develop and implement algorithms using statistics, NLP, ML, and generative AI techniques
πŸ”Ή Improve the platform’s inference engines and data science validation processes
πŸ”Ή Measure and optimize the impact of product features based on real-world data
πŸ”Ή Prototype, test, and deploy advanced algorithms for production applications

Requirements:

βœ… Strong product mindset with a focus on user experience
βœ… 5+ years of experience in data science, machine learning, and statistical modeling
βœ… Proficiency in Python and SQL for data analysis and model development
βœ… Experience in processing real-world datasets and deriving actionable insights
βœ… Ability to break down complex problems into solvable frameworks
βœ… Strong communication skills to work effectively in cross-functional teams
βœ… Experience with cloud-based ML workflows (AWS, GCP, or Azure) is a plus
βœ… Bonus: Familiarity with Django, Postgres, Docker

Benefits:

πŸ’° Competitive Salary (Range based on experience)
🏑 Remote-first work environment (US-based)
πŸ“ˆ Stock options and performance-based bonuses
🩺 Comprehensive health, dental, and vision insurance
πŸ’‘ Professional growth opportunities and learning stipends
🌴 Generous PTO policy + paid company holidays

πŸ”— Application URL: https://jobr.pro/job/16398250/data-scientist-product

Skills:

Python, SQL, Machine Learning, Data Science, NLP, Statistics, AWS, Generative AI, Engineering Analytics, SaaS, Cloud ML, Postgres, Django, Docker