Job description

Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect millions of small businesses. In this role you will be building and deploying AI to drive product experiences. Responsibilities • 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 Qualifications • 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 Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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 fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Mountain View $180,000 - $243,500

Requirements

Must-haves

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
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
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
Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences
Mountain View $180,000 - $243,500

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpythonsql

Platform: career-feeds
Effort: medium