Data Scientist - Python, Machine Learning

Requirements:

• Bachelors degree in Computer Science, Mathematics, or Statistics
• Over 5 years of professional experience as an AI Engineer, Data Scientist, or Machine Learning Engineer
• Proven success in deploying significant Machine Learning solutions at scale, collaborating across teams
• Strong understanding of data structures and algorithms
• A proactive attitude with a sense of ownership in technical and product areas
• Familiarity and practical experience with Deep Learning Libraries (e.g., Torch, TensorFlow)
• Excellent written and verbal communication skills in English, effective with both technical and non-technical audiences

Responsibilities:

• Collaborate with cross-functional teams to improve search algorithms for better accuracy and user experience
• Experiment with and enhance Proof of Concept Machine Learning models, scaling them for production and conducting A/B tests to refine matching technology
• Set project priorities, deliverables, and success metrics in collaboration with cross-functional teams
• Serve as a liaison between technical and non-technical stakeholders, ensuring clear communication of goals and outcomes
• Mentor and support the growth of software engineers, data scientists, and Machine Learning Engineers within teams
• Decompose large Machine Learning projects into manageable components that deliver incremental business value, guiding the team through implementation
• Represent our company at prestigious Machine Learning conferences such as NeurIPS, ICML, and ICLR

Technologies:

• AI
• Support
• Machine Learning
• TensorFlow

More

As the worlds leading job site, we are dedicated to helping people find employment and fostering an inclusive workplace where everyone feels valued. We aim to expand our teams with individuals who share our passion for innovation and enhancing the job seeker experience. We offer attractive benefits, including comprehensive health plans, open paid time off, retirement plans, and various rewards tailored to employee wellbeing. Our team thrives in an environment that prioritizes diversity and inclusion, ensuring that innovation and creativity are at the forefront of our mission.

last updated 43 week of 2026