Senior AI Scientist

Intuit; New York (NY); On-site; USD 173,000 - 235,000; Full time

Job summary

A leading company is seeking a Senior AI Scientist to innovate and enhance their product portfolio through AI and machine learning. This role involves building and deploying models that impact customer experiences directly. Candidates should possess strong analytical skills and experience in data mining and statistical modeling. Join a collaborative team that values creativity and technical expertise.

Benefits

cash bonus

equity rewards

benefits

Qualifications

• 1+ years of industry experience with AI science.
• 1+ years of experience in modern analytical tools and programming languages.

Responsibilities

• Perform hands-on data analysis and modeling with huge data sets.
• Apply data mining and machine learning to improve algorithms.
• Run regular A/B tests and perform statistical analysis.

Skills

AI science

data mining

statistical modeling

communication

Education

BS, MS, or PhD in Computer Science

Tools

R

Python

SQL

Hive

SparkSQL

Job description

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Overview

Intuit is looking for an innovative and hands-on

Overview

Intuit is looking for an innovative and hands-on Senior AI Scientist to join the Intuit AI team.

This team embeds artificial intelligence and machine learning into our product portfolio and business to create smarter products, improve anti-fraud and security and enhance customer care. Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.

What you'll bring

• BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.)
• 1+ years of industry experience with AI science
• 1+ years of experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn
• Efficient in SQL, Hive, or SparkSQL, etc.
• Comfortable in Linux environment
• 1+ years of experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining
• Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences
  
  

How you will lead

• Perform hands-on data analysis and modeling with huge data sets
• Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms
• Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
• Discover data sources, get access to them, import them, clean them up, and make them “model-ready”. You need to be willing and able to do your own ETL
• Create and refine features from the underlying data. You’ll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you’ll lather, rinse and repeat
• Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders
• Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver
  
  

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is: 173,500 - 234,500This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits).Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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