Senior Data Scientist jobs at Riskified in Israel, Tel Aviv-yafo

Overall Leadership & Strategy:

• Develop and execute the HR Operations strategy, aligning it with the overall HR and business objectives.
• Lead, mentor, and develop a high-performing team across HR Operations, HRIS, and HR Analytics functions.
• Drive a culture of continuous improvement, operational excellence, and data integrity within the HR function.
• Collaborate closely with other HR leaders (e.g., HR Business Partners, Total Rewards, Talent Acquisition, Talent Development) to ensure seamless service delivery and integrated HR programs.
• Partner with Finance, Legal, IT, and other departments on cross-functional initiatives and system integrations.
• Manage the HR Operations budget effectively, optimizing resources and investments.

HR Operations:

• Oversee all core HR operational processes from hire to retire, including onboarding, offboarding, employee data management, leave administration, immigration and HR policy implementation.
• Ensure HR processes are compliant with all relevant federal, state, and local regulations across multiple countries.
• Develop and maintain standard operating procedures (SOPs) and process documentation for key HR operational activities.
• Focus on enhancing the employee and manager experience through streamlined and user-friendly processes.
• Manage vendor relationships for key operational services (e.g background checks, EORs, immigration)

HR Information Systems (HRIS):

• Serve as the primary owner and strategist for the HR systems roadmap in close partnership with the IS team.
• Oversee the administration, maintenance, and optimization of the core HRIS and other related HR technology platforms.
• Lead the evaluation, selection, and implementation of new HR technology solutions to support evolving business needs.
• Ensure data integrity, system security, and compliance within all HR systems.
• Manage relationships with HRIS vendors and ensure effective system support and updates.

HR Data & Analytics:

• Build and mature the HR analytics capability, establishing key HR metrics and dashboards to provide actionable insights to the business.
• Develop reporting standards and capabilities to support HR Business Partners and business leaders with workforce data analysis.
• Oversee the collection, analysis, and interpretation of HR data to identify trends, measure program effectiveness, and inform strategic workforce planning.
• Ensure data privacy and compliance with data protection regulations
• Champion the use of data to drive informed decision-making across the HR function and the organization.

• 10+ years of progressive leadership experience in HR Operations, HRIS, or HR Technology roles.
• 5+ years of experience managing and developing teams.
• Proven track record of successfully leading HR process improvement initiatives and implementing HR technology solutions in a global environment.
• Deep expertise in HRIS administration and optimization, experience with SuccessFactors is highly desirable.
• Strong understanding of HR data, analytics, and reporting best practices.
• Solid knowledge of HR compliance requirements across multiple jurisdictions

Skills and Competencies:

• Exceptional leadership, coaching, and team development skills.
• Strong strategic thinking and problem-solving abilities.
• Excellent project management and change management skills.
• Ability to translate complex HR data into actionable business insights.
• Superior communication, presentation, and interpersonal skills, with the ability to influence stakeholders at all levels.
• Strong vendor management and negotiation skills.
• Ability to thrive in a fast-paced, dynamic, and global environment.
• High level of integrity and ability to handle confidential information with discretion.

We have recently moved to our new space in Tel Aviv - check it out

Some of our Tel Aviv Benefits & Perks:

• Keren Hishtalmut, pension
• Private medical insurance, extra time off for parents and caregivers
• Commuter and parking benefits
• Team events, fully-stocked kitchen,lunch stipend, happy hours, yoga, pilates, functional training, basketball, soccer
• Wide-ranging opportunities to volunteer and make an impact
• Commitment to your professional development with global onboarding, skills-based courses, full access to Udemy, lunch & learns
• Awesome Riskified gifts and swag!

The Data Science department plays a pivotal role in our company, generating value to Riskified 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.

• 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

• B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field
• 5+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production.
• Strong understanding and practical experience with various machine learning algorithms.
• Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis
• Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design
• Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions
• Proficiency in data visualization libraries, to create meaningful visual representations of complex data
• Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders
• Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment

Advantages:

• Experience in the fraud domain
• Experience with Airflow, CircleCI, PySpark, Docker and K8S

We have recently moved to our new space in Tel Aviv - check it out

Some of our Tel Aviv Benefits & Perks:

• Keren Hishtalmut, pension
• Private medical insurance, extra time off for parents and caregivers
• Commuter and parking benefits
• Team events, fully-stocked kitchen,lunch stipend, happy hours, yoga, pilates, functional training, basketball, soccer
• Wide-ranging opportunities to volunteer and make an impact
• Commitment to your professional development with global onboarding, skills-based courses, full access to Udemy, lunch & learns
• Awesome Riskified gifts and swag!

Our models and algorithms are integrated into the critical path of Riskified's product, helping to make thousands of decisions per second in real-time. All the capabilities we develop must meet production-grade requirements in both analytical and engineering standards.

• Lead and manage a team of 4-6 Data Scientists
• Collaborate closely with the Dev, Product, and Analytics teams to implement and successfully integrate models and capabilities into production
• Play a pivotal role in shaping the vision for the analytical capabilities of our core products
• Constantly experiment with new ways to improve our product offering, including complex experimental design
• Oversee the training of our strategic models
• Lead the research and development of core product Machine Learning capabilities
• Standardize processes and methods used within the team and group

• 3+ years experience as a team lead of a data science team, managing at least 3 ICs
• 3+ years proven hands-on experience implementing machine learning algorithms and techniques in production grade environments
• Sc (M.Sc is a plus) in Statistics, Computer Science, Mathematics, or a related field
• Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design
• Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders
• Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment
• Creative thinker with a proven ability to tackle open problems and apply non-trivial solutions
• Ability to write clean and concise code in Python
• Experience in the fraud domain - advantage

We have recently moved to our new space in Tel Aviv - check it out

Some of our Tel Aviv Benefits & Perks:

• Keren Hishtalmut, pension
• Private medical insurance, extra time off for parents and caregivers
• Commuter and parking benefits
• Team events, fully-stocked kitchen,lunch stipend, happy hours, yoga, pilates, functional training, basketball, soccer
• Wide-ranging opportunities to volunteer and make an impact
• Commitment to your professional development with global onboarding, skills-based courses, full access to Udemy, lunch & learns
• Awesome Riskified gifts and swag!

The Data Science department plays a pivotal role in our company, generating value to Riskified 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.

• 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

• B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field
• 3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production.
• Strong understanding and practical experience with various machine learning algorithms.
• Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis
• Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design
• Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions
• Proficiency in data visualization libraries, to create meaningful visual representations of complex data
• Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders
• Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment

Advantages:

• Experience in the fraud domain
• Experience with Airflow, CircleCI, PySpark, Docker and K8S

We have recently moved to our new space in Tel Aviv - check it out

Some of our Tel Aviv Benefits & Perks:

• Keren Hishtalmut, pension
• Private medical insurance, extra time off for parents and caregivers
• Commuter and parking benefits
• Team events, fully-stocked kitchen,lunch stipend, happy hours, yoga, pilates, functional training, basketball, soccer
• Wide-ranging opportunities to volunteer and make an impact
• Commitment to your professional development with global onboarding, skills-based courses, full access to Udemy, lunch & learns
• Awesome Riskified gifts and swag!