- pin_dropמיקוםהוד השרון
- bubble_chartקטגוריהData Science
- schoolנסיון5+ שנות ניסיון
- workסוג משרהמשרה מלאה
Intuit is seeking a Satff Data Scientist to join our Artificial Intelligence & Machine Learning group in Hod Hasharon, Israel.
Intuit is the global leader in financial management software. We are pioneering the shift to cloud computing for consumers, small businesses and those that serve them. We are rethinking how we can impact customer’s financial lives so profoundly they would never go back to the old way. The Artificial Intelligence & Machine Learning team develops data-driven product features for financial management products like Mint and QuickBooks, as well as algorithms and analyses to drive business decisions.
The position involves close collaboration with the product and data teams in both Israel and in the USA. This role ranges from consultative business facilitator, leading discussions, to research experimentalist to technology innovator. The individual must be comfortable partnering with those directly involved with big data infrastructure, software, and data warehousing, as well as product management and risk management driving the business.
As a founding member of our rapidly growing Israel AI & ML group, you’ll have tremendous influence on the projects and outcomes we can deliver for our customers and the business. You will thrive on ambiguity and enjoy the frequent pivoting that comes with data mining. Your project team will be very small – no bigger than two pizzas can feed – and team members frequently wear multiple hats.
In this role, you’ll:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP and machine learning (both supervised and unsupervised) to improve our relevance and personalization algorithms
- Build ML models to power real-time risk decisions regarding payments and money movement for small businesses, and recommend the best financial outcomes and actions for consumers.
- 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, and skilled enough in bash/Terminal/shell scripting to make it happen.
- 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 enhance your models to use new, powerful features. 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
- BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Econometrics, Operations Research).
- 8+ years experience with data science.
- Expertise in modern advanced analytical tools and programming languages such as Python with scikit-learn or R.
- Fluent in SQL enough to get the data you need from a warehouse (Vertica, Hive, SparkSQL, etc)
- Expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, 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
In addition, the ideal candidate will also have experience with:
- Risk, anti-fraud, and payments systems in general.
- Apache Spark and the Hadoop ecosystem.
- HP Vertica.
- TensorFlow, Keras, Theano, TFLearn, MXNet, or other deep learning toolkits.
- Large-scale graph algorithms, clustering, page-rank, and community detection.
Intuit היא חברה ממוקדת לקוחות ומוכוונת עיצוב. מוצרי הדגל שלה - QuickBooks, TurboTax ו-Mint, מדגימים את המחויבות לביצוע מהפך בדרך שבה אנשים מנהלים את החשבונות האישיים שלהם, מפעילים עסקים קטנים ומשלמים לעובדיהם. Intuit הגדירה את עצמה מחדש והפכה מחברת תוכנה למחשבים אישיים מצפון אמריקה, לחברת מוצרי ופלטפורמות ענן.