Staff Data Scientist
Company: Intuit Inc.
Location: San Diego
Posted on: October 28, 2024
Job Description:
Intuit is looking for an innovative and hands-on Staff Data
Scientist to join the Intuit AI team.Come join our collaborative
and creative group of data 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
- Practices leadership and communication skills to influence
teams and to evangelize data science across the organization
- Collaborates with stakeholders to define success criteria and
align model metrics with business goals. Works side-by-side with
product managers, software engineers, and designers in designing
experiments and minimum viable products
- Leads technical work of a scrum team: initiating and designing
model solutions, driving end-to-end architecture designs of the
team's work, and holding the team accountable for high quality
code, git, design, costs and implementation standards
- Performs hands-on data analysis and modeling with large data
sets, including discovering data sources, getting data access,
cleaning up data, and making them "model-ready". You need to be
willing and able to do your own ETL and design/build
featurization.
- Applies data mining, NLP, and machine learning (such as
supervised/unsupervised, Causal-ML, Online Learning, Bayesian
Learning, Reinforcement Learning, or Deep Learning) to real-world
problems and datasets.
- Runs A/B tests to draw conclusions on the impact of your team's
work and communicates results to peers and leaders
- Communicates with partners to ensure successful delivery and
integration of DS solutions.
- Proactively researches, explores, and enables new ML
technologies. Keeps up with the new developments in academia and
industry and considers possible extensions to solve Intuit customer
problems.
- 4+ years of industry experience with data science
- BS, MS or PhD in Statistics, Mathematics, Computer Science,
Economics, Operations Research, or equivalent
- 4+ years of hands-on expertise in ML paradigms such as
Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement
or Deep Learning.
- Proficient in multiple optimization paradigms such as
combinatorial optimization, gradient methods, or Bayesian
optimization.
- Proficient in NLP techniques, Explainable AI, and ML
frameworks.
- Expertise in modern advanced analytical tools and programming
languages such as Python, Scala, Java and/or R.
- Efficient in SQL, Hive, SparkSQL, etc.
- Comfortable working in a Linux environment
- Experience with building end-to-end reusable pipelines from
data acquisition to model output delivery
- Quick learner, adaptable, with the ability to work
independently in a fast-paced environment
- Strong oral and written communication skills. Ability to
conduct meetings and make professional presentations, and to
explain complex concepts and technical material to non-technical
users
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Keywords: Intuit Inc., Bellflower , Staff Data Scientist, Other , San Diego, California
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