Staff Data Scientist

Key Skills

A/B Testing, Aartificial intelligence, Apache Hive, Data Mining, Data science techniques, Design, Effective communication skills, Leadership, Linux Operating system, Machine learning techniques, Natural Language Processing (NLP), Python Programming, R Programming, Scikit-learn, Spark Core, Spark-SQL, SQL, Statistical modeling, Statistics

Job Description

Intuit is seeking a Staff Data Scientist to join our Data sciences in Intuit India.

The Innovation team develops game-changing technologies and experiments that redefine and disrupt our current product offerings. You’ll be building and prototyping algorithms and applications on top of the collective financial data of 60 million consumers and small businesses.

Applications will span multiple business lines, including personal finance, small business accounting, and tax.

You thrive on ambiguity and will enjoy the frequent pivoting that’s part of the exploration.

Your team will be very small and team members frequently wear multiple hats.

In this position, you will have close collaboration with the Innovation & AdvancedTechnology Group’s engineering and design teams, as well as the product and data teams in business units.

Your role will range from research experimentalist to technology innovator to consultative business facilitator.

You must be comfortable partnering with those directly involved with big data infrastructure, software, and data warehousing, as well as product management.

Qualifications

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

Responsibilities

Perform hands-on data analysis and modeling with huge data sets.

• Apply data mining, NLP, and machine learning (both supervised andunsupervised) to improve relevance and personalization algorithms.
• Partner with product managers and developers in designing and buildingminimum viable products and capabilities. Influence product roadmaps toleverage AI/ML for optimal customer benefit
• Create and refine features from the underlying data. You’ll enjoy developing justenough subject matter expertise to have an intuition about what features mightmake your model perform better, and then you’ll lather, rinse and repeat.
• Mentor engineers and data scientists on best practices for building ML models,running regular A/B tests, gathering data and performing statistical analysis.
• Draw conclusions on the impact of your optimizations and communicate resultsto peers and leaders.
• Explore new design or technology shifts in order to determine how they mightconnect with the customer benefits we wish to deliver.