דרושים » כספים וכלכלה » ‏Data Scientist - Risk Automation‏

Apply strategic and data analytics skills to solve problems for the company Risk team. Work with stakeholders across different teams such as Product, Platform, Machine Learning, Operations to drive strategic initiatives. The Global Risk Automation Strategy (GRAS) team focuses on driving automation initiatives for the risk back office. We work closely with the Front end strategy, consumer and seller risk operations, product, and modeling teams to identify automation opportunities to drive efficiency.
Job Description:
As a Decision Scientist you will apply your strategic and analytical skills to solve challenging business problems. You will team up with world-class professionals to identify actionable insights that ultimately impact the bottom line of the company. We work in a space that looks deeply into emerging fraud trends to come up with analytical solutions to fight these fraud trends and we also work on business enablement opportunities that fuel growth and drive efficiencies within the organization
For the majority of employees, our company's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the company office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Required Data Scientist, Product Analytics
As a Data Scientist, you will shape the future of people-facing and business-facing products we build across our entire family of applications. By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining us, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and us. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.
Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Scientist, Product Analytics Responsibilities
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.

Required Data Scientist
About the Role
The Data Science department plays a pivotal role in our company, generating value to us by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities.

What youll do
As Manager, Regulatory Compliance, Israel you will deliver on the regulatory engagement strategy for our company in Israel. You will maintain our licensing responsibilities and coordinate with all internal and external parties as necessary to ensure compliance through the communication of regulatory requirements, cross-functional collaboration to productize solutions and offerings, implementation and execution of processes, filing of all requisite reports, renewal of registrations and licenses, end-to-end management of regulatory examinations, and interfacing with our regulators on ad-hoc inquiries. You will analyse new and existing products and provide guidance to ensure that our 2LOD controls are fit for purpose and comply with regulatory obligations and guide the first line business to enable the maturity of both customer-facing and internal back-office processes and product features.
Responsibilities:
Support the company Groups expansion by managing the regulatory compliance components of licence authorisation processes
Act as a key stakeholder in relation to licence applications, business plan updates and information requests between our company and our regulators
Ensure that our regulatory compliance and integrity risk reporting obligations are maintained in the region
Support and / or manage on-site exams and inspections (in collaboration with our LRC colleagues)
Advise the business with respect to regulatory change initiatives with a particular focus on how to effectively manage compliance risk attached to new laws and regulations in the jurisdictions we operate
Develop policies, processes and provide advice in relation to regulatory risk obligations that exist within the 1st line business
Manage regulatory compliance risk within the company Risk Management Framework and associated escalation process (inc. the Group Risk Committee)
Advise the business in relation to conduct risk and ethics matters (where appropriate) relating to our financial services licences
Deliver the Compliance Monitoring Program; Conduct targeted and thematic reviews on a wide range of topics to ensure appropriate organisational maturity
Deliver the company Groups Compliance Training for employees and conduct ad-hoc training to specific business areas as required
Conduct Proactive Special Ops projects to unlock business or operational issues to enable our company to achieve its strategic goals more rapidly.

Were on a mission to revolutionize our industry by automating everything but holding the wrench, providing our users with smart, AI-powered tools that will replace time consuming tasks, generate more revenue, and provide peace of mind, freeing our users to focus on building their small business into an empire.

Who are you?
You are a problem solver with a passion for analyzing data and identifying customer patterns. You pay attention to details and balance adherence to processes with the flexibility to explore new risks. An eager autodidact, you thrive in a dynamic startup environment, bringing positive energy and enthusiasm to shape the future of our risk framework.

So, what will you be doing all day?
You will serve as the domain expert for all risk and compliance across our company. You will work cross team to define the tools, strategies and methodologies needed to keep our rapidly growing Fintech business safe and compliant
You will lead a team (currently of one other analyst but slated for growth as our volume increases)
You will need to balance your time between the high level process building and the hands on risk analyst execution tasks including daily manual reviews of flags/alerts/accounts/transactions to minimize losses
Collaborate with financial services partners (PSPs, Consumer Financing, Expense Cards, Capital) on all risk and compliance matters that impact our integrations.
Identify and implement AI and automation tools to increase risk controls efficiently
Monitor and manage payouts and payments, fraud, chargebacks, refunds, and ACH across our products, while setting and removing temporary controls on flagged accounts to minimize exposure
Collaborate with customer success, support, finance, and external partners to respond to complex risk events, optimize risk models, and implement best practices
Investigate risk incidents, implement improvements, and develop new rules and models as products evolve
Work with finance and legal teams on loss collections and ensure compliance with regulatory standards
Monitor regulatory and our company compliance of our financial services efforts

We are looking for a visionary and technically versatile Data Science Manager to join the Data Science & MLE group within our DS & Analytics organization.
In this pivotal role, you will lead a hybrid team of Data Scientists and Machine Learning Engineers, acting as the bridge between cutting-edge technical innovation and high-level business strategy. You won't just be managing a team; you will be the Technical Lead defining how we solve complex problems-from predicting player behavior to optimizing marketing budgets using the latest in Generative AI.
You will partner closely with Game Directors, Product Managers, and our central analytics teams to drive value across Zynga's diverse portfolio. If you are a leader who is "bilingual" in data-possessing deep Data Science expertise to guide methodology while bringing high MLE and Engineering skills to build scalable, production-ready systems-we want to hear from you.
Key Responsibilities:
Team Leadership & Mentorship: Recruit, retain, and develop top-tier talent within the Data Science & MLE team. Foster an inclusive culture of innovation where technical rigor meets creative problem-solving.

Technical Direction & Engineering Standards: Act as the hands-on Technical Lead for the domain. You will supervise the end-to-end development lifecycle-from research to production-enforcing high standards and MLOps to ensure our models are scalable and maintainable.
Strategic DS & Analytics Support: Drive the development of advanced analytical frameworks to solve core business challenges. You will guide the team in applying rigorous statistical and machine learning methods to areas such as Time Series Forecasting, Causal Inference, Marketing Optimization, Root Cause Analysis, and more.
Strategy & Collaboration: Partner with Game Directors, BI Platform PMs, and embedded analytics teams to define the data strategy and roadmap. You will ensure that our technical initiatives are directly aligned with company-wide goals and solving the right problems.
Global Alignment: Maintain a tight collaborative network with Data Science & Analytics managers in North America, ensuring global consistency in methodologies, knowledge sharing, and joint development.

about the job
the growth and notifications (gant) data science team's mission is to deliver the best of google's products to our users by enabling high-quality notifications and driving growth across the ecosystem. we are a team of data scientists and analysts who work to embed a deep empirical understanding of user behavior into the product development lifecycle. this enables our product partners to take smarter risks and build more engaging, high-quality experiences that drive sustainable growth.we are part of the broader ecosystem growth (eg) data science team within google identity and engagement (gie). our work is pivotal in increasing the number of users who experience the full value of google.this is an exciting opportunity to join a team that is at the forefront of driving user engagement and ecosystem growth at google.
responsibilities
lead large-scale data analysis and novel modeling approaches to create a deep understanding of user behavior with notifications and proactive agentic experiences.
partner with product, engineering, and UX research to define and develop novel evaluation metrics, validation methodologies, and experimentation frameworks for proactive quality models and ai-driven notification agents.
provide analytical thought leadership and advanced statistical expertise on user journeys, engagement models, and long-term causal effects across the gie and google ecosystem.
translate complex findings into actionable product recommendations, effectively presenting to cross-functional stakeholders at all levels to influence the product roadmap.
define, implement, and own key metrics to measure the quality, impact, and value of notifications and user-state models.

We are seeking an experienced compliance professional to join our team and support compliance for our SaaS platform.
About the Position:
As Compliance Lead for the SaaS platform, you will be focused on leading and supporting compliance efforts with various regulatory regimes that apply to our SaaS business, including, but not limited to, economic sanctions, anti-bribery, and anti-corruption programs. In addition to these responsibilities, the Compliance Lead will conduct risk reviews of SaaS business customers and report findings to senior management. Risk reviews will encompass initial assessments of new SaaS licensees and ongoing reviews leveraging public information and blockchain analytics.
To be successful in this role, the candidate will need to work closely with internal and external stakeholders, including senior management, front line business leaders, and prospective SaaS licensees. Expertise in digital asset investigative processes, including customer due diligence and blockchain analysis, will be crucial in establishing and executing operations for this role. The ideal candidate will be comfortable working in a fast-paced environment handling multiple ongoing projects that are delivered on time. We are looking for a candidate armed with a roll-up-your-sleeves mentality and forward-thinking approach that is eager to help across multiple verticals and advise business teams on global risks.
This position reports directly to the company's Senior Director of Compliance and will be an independent contributor initially. This role will be based in the US, with preference for candidates based near our NYC HQ; although qualified candidates from other locations are highly encouraged to apply.

We are looking for a Senior Data Products Manager to lead the strategy and evolution of our external data products, with a strong focus on customer needs and scalable, high-impact data solutions.
In this role, you will work directly with customers and internal stakeholders to understand how our data catalog is used across different use cases. Youll translate customer insights, usage patterns, and commercial input into a clear product vision and prioritized roadmap aligned with company objectives.
You will work closely with customer-facing data scientists and internal delivery teams to turn customer needs into production-ready data products. This includes collaborating with Partnerships to evaluate external data providers and defining requirements that guide the transformation of raw data into reliable, high-quality signals. You will also engage with the data pipeline itself, where different models are used to turn raw and unclassified data into coherent, scalable data products.
Responsibilities:
Own the strategy, vision, and roadmap for Exploriums external data products, guiding a delivery team of data developers and a team lead.
Lead customer discovery and translate insights into scalable product initiatives, requirements, and clear delivery plans.
Drive prioritization across competing needs, balancing customer value, business impact, feasibility, and time-to-market.
Lead the end-to-end data product lifecycle: discovery, definition, delivery, launch, adoption, and continuous improvement.
Collaborate cross-functionally with Data Science, Engineering, Sales, CS, and Partnerships to validate use cases and define measurable product success.
Write clear product specs and actionable tickets that guide the transformation of third-party data into production-grade data products.
Continuously improve existing products to expand coverage, improve accuracy, and unlock new customer use cases.
Define and track success metrics such as adoption, customer impact, accuracy, coverage, and performance.

Were looking for a Data Scientist to join our R&D department!
Why is this role so important at our company?
we are a data-focused company, and our unique AI and machine learning capabilities are the center of our business.
As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions
As a data scientist in our company, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the box requests from customers who want custom digital insights.
So, what will you be doing all day?
Your daily responsibilities may include:
Working on versatile use cases within a dynamic, fast paced production environment
Strategic thinking and problem solving, with a strong business sense
Analyzing data from various sources, and turning it into usable input
Understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights
Initiating newly defined tasks from exploration to proof of concept
Owning the finalization of defined tasks (from POC to deployment in production)
Collaborating with data engineers to make sure we reach the desired production results
Owning the ongoing validation process for existing metrics
Collaborating and brainstorming best practices with other teams within the R&D department
Deploying machine-learning models into production for an ongoing use