채용
필수 스킬
Machine Learning
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.
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
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.
Qualifications
- 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
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This 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 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, CA: $173,500 - 234,500
총 조회수
1
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
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Intuit 소개

Intuit
PublicIntuit provides financial software solutions to empower individuals and businesses.
10,001+
직원 수
Mountain View
본사 위치
$140B
기업 가치
리뷰
2.6
10개 리뷰
워라밸
3.5
보상
3.8
문화
3.2
커리어
3.4
경영진
2.8
35%
친구에게 추천
장점
Good benefits and compensation
Supportive team and leadership
Flexible schedule and work-life balance
단점
Inadequate training and software support
Poor management and lack of support
High expectations and micromanagement
연봉 정보
91개 데이터
Junior/L3
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Business Data Analyst
2개 리포트
$123,000
총 연봉
기본급
$116,528
주식
-
보너스
-
$123,000
$123,000
면접 경험
7개 면접
난이도
3.0
/ 5
소요 기간
14-28주
합격률
14%
경험
긍정 14%
보통 86%
부정 0%
면접 과정
1
Application Review
2
Online Assessment/Technical Screen
3
Live Coding Interview
4
Case Study/Technical Assessment
5
Behavioral Interview
6
Offer
자주 나오는 질문
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Case Study
System Design
뉴스 & 버즈
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