Senior, AI & Data Science

Job summary

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

Job details

You will own AI and data science models end-to-end, from problem framing and methodology development to production deployment and monitoring. Additionally, you will translate complex business challenges into analytical use cases and mentor junior data scientists to enhance 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 is required, along with hands-on experience in LLMs and cloud-based AI platforms.

What you’ll do

You will own AI and data science models end-to-end, from problem framing and methodology development to production deployment and monitoring. Additionally, you will translate complex business challenges into analytical use cases and mentor junior data scientists to enhance 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 is required, along with hands-on experience in LLMs and cloud-based AI platforms.

Benefits

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

Listed skills

• Data visualization · Preferred
• SQL · Preferred
• Machine learning · 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
• Data visualization
• Causal inference
• Cloud platforms
• MLOps
• Mentoring
• Data storytelling
• Agile methodologies

Job areas

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

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