- Company Name
- Intuit
- Job Title
- Staff AI Scientist
- Job Description
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Job Title: Staff AI Scientist
Role Summary:
Senior data scientist responsible for designing, building, and deploying production‑grade machine learning models that influence large customer bases. Leads technical squads, mentors teammates, and partners with stakeholders to align AI solutions with business objectives.
Expectations:
- Deliver end‑to‑end ML pipelines from data acquisition to model deployment.
- Influence cross‑functional teams, communicate complex technical concepts clearly to non‑technical stakeholders.
- Drive experiments, interpret A/B test results, and iterate on model strategies.
- Stay abreast of academic and industry advances; propose and prototype novel algorithms.
Key Responsibilities:
- Lead scrum team design and implementation of ML solutions, ensuring high‑quality code, design, and cost adherence.
- Conduct data engineering (ETL, feature engineering) on large datasets to produce model‑ready data.
- Apply varied ML paradigms: supervised/unsupervised, causal, Bayesian, reinforcement, online learning, and deep learning.
- Use NLP techniques and explainable AI practices to enhance model interpretability.
- Design and run A/B experiments; analyze outcomes and report findings to leadership.
- Collaborate with product managers, software engineers, and designers to define success criteria and align models with business goals.
- Build reusable pipelines (data ingestion → transformation → modeling → inference) using modern frameworks.
Required Skills:
- Proficiency in Python, Scala, Java, or R; experience with ML frameworks (TensorFlow, PyTorch, Scikit‑learn, etc.).
- Advanced knowledge of optimization methods (gradient, combinatorial, Bayesian).
- Expertise in NLP and explainable AI techniques.
- Efficient SQL, Hive, SparkSQL; comfortable in Linux environment.
- Hands‑on experience with Causal‑ML, RL, online, Bayesian, deep learning, and unsupervised learning.
- Ability to design and execute A/B tests and interpret statistical results.
- Strong oral and written communication; capable of presenting technical content to diverse audiences.
Required Education & Certifications:
- BS, MS, or Ph.D. in Statistics, Mathematics, Computer Science, Economics, Operations Research, or a related field.
- Minimum 4+ years of industry experience in AI science and hands‑on machine learning development.
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