לוח משרות דרושים Data Science Team Leader

Intuit is looking for an innovative Manager experienced in Fraud Risk Policy & Strategy to lead a team of policy analysts within the Trust & Safety organization. This individual will cultivate a deep understanding of our Quickbooks and Mailchimp products and bring industry best practices around fraud prevention and generative AI to address large scale problems related to product abuse. As we continue to grow our capabilities with the advancements in AI-assisted solutions, this individual will also play a critical role in developing and executing short and long-term strategic and tactical plans across all products to improve our security posture against fraud and abuse in the evolving online threat landscape.
Responsibilities

Lead a high-performing team of fraud and risk data analysts by providing real-time coaching and best practice guidance to team members relating to their daily work as well as growing their careers
Lead strategic initiatives with measurable milestones and impact to KPIs
Act as a strategic partner across Intuit product development, product management, legal, investigations, data science, and other teams for fraud/abuse prevention solutions throughout the fraud lifecycle of detection, investigation, remediation, and prevention
Combine historical data with strong subject matter expertise and intuition to create and execute strategies to achieve short and long-term objectives at scale
Provide guidance and oversight in raising awareness of broader fraud and product issues, generative AI ongoing trends and driving toward automated solutions.
Stays abreast of fraud trends, emerging fraud and generative AI threats, and new system/tools to help bolster fraud prevention/detection capabilities
Own and assess your teams progress toward established performance goals.

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview
Manage a global group of AI scientists teams dedicated to developing and deploying AI solutions that help ensure Trust and Safety across Intuit products and services. Drive research, development, and implementation of advanced AI along with ML technologies, while fostering a collaborative and innovative environment.


Responsibilities

Lead global AI Science teams, specializing in Fraud and Content Moderation.
Recruit and mentor top AI Scientists in Israel and US.
Apply AI/ML to address Fraud and content issues, driving innovation and growth.
Deliver impact through data-driven insights and advanced analytics.
Provide technical and strategic leadership in AI science.
Inspire AI innovations to enhance platform safety and fraud detection.
Guide business stakeholders to interpret and utilize AI-first solutions and research findings.

Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions powers the digital strategies of companies like Google, eBay, and Adidas.

We help our customers succeed in todays digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more.

In 2021, we went public on the New York Stock Exchange and havent stopped growing since!

A day-to-day role as a Team Manager at Similarweb includes:

Managing a multidisciplinary team of data engineers, data scientists, and data analysts.
Leading the development of advanced and creative solutions for complex technical challenges in areas like big data and machine learning.
Collaborating closely with data extraction, platform, and product teams.
Communicating with business stakeholders and gathering feedback from customers.
Hiring new team members and developing the groups structure.
Playing a crucial role in shaping product strategy within a startup-like environment.
Day-to-day, the team you will lead will:

Develop statistical and machine learning algorithms on large-scale data to estimate metrics, create features, and deliver insights.
Own end-to-end data processes and pipelines, from research and proof of concept to production.
Collaborate with product and R&D teams to plan and deliver best-in-class digital insights.
Design, validate, and monitor ongoing processes to ensure quality and reliability.
Identify, analyze, and monitor new raw data sources as needed.