Senior, AI & Data Science

Job summary

You will own AI models end-to-end, from problem framing and methodology development to production deployment and monitoring. Additionally, you will translate business challenges into analytical use cases and mentor junior data scientists to improve team performance.

Job details

You will own AI models end-to-end, from problem framing and methodology development to production deployment and monitoring. Additionally, you will translate business challenges into analytical use cases and mentor junior data scientists to improve team performance. Candidates must have 3–5 years of relevant data science experience with strong proficiency in Python, SQL, and machine learning algorithms. A master's degree in a quantitative field and hands-on experience with LLMs or cloud AI platforms are required.

What you’ll do

You will own AI models end-to-end, from problem framing and methodology development to production deployment and monitoring. Additionally, you will translate business challenges into analytical use cases and mentor junior data scientists to improve team performance.

Requirements

Candidates must have 3–5 years of relevant data science experience with strong proficiency in Python, SQL, and machine learning algorithms. A master's degree in a quantitative field and hands-on experience with LLMs or cloud AI platforms are required.

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• 401(k) plan with company matching
• Paid parental leave
• Unlimited paid time off
• Learning and development programs

Listed skills

• Data visualization · Preferred
• SQL · Preferred
• Machine learning · Preferred
• Communication Skills · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• SQL
• Machine learning
• Statistics
• LLM evaluation
• RAG
• Fine-tuning
• Data modeling
• Causal inference
• Data visualization
• Cloud platforms
• MLOps
• Data engineering
• Mentoring
• Communication skills

Job areas

• Data & Analytics
• Technology
• Consulting
• Software
• Science & Research

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