Senior Data Scientist

About Ping Identity:
At Ping Identity, we believe in making digital experiences both secure and seamless for all users, without compromise. We call this digital freedom. And it's not just something we provide our customers. It's something that inspires our company. People don't come here to join a culture that's built on digital freedom. They come to cultivate it.

Our intelligent, cloud identity platform lets people shop, work, bank, and interact wherever and however they want. Without friction. Without fear.

While protecting digital identities is at the core of our technology, protecting individual identities is at the core of our culture. We champion every identity. One of our core values, Respect Individuality, reminds us to celebrate differences so you are empowered to bring your authentic self to work.

We're headquartered in Denver, Colorado and we have offices and employees around the globe. We serve the largest, most demanding enterprises worldwide, including more than half of the Fortune 100. At Ping Identity, we're changing the way people and businesses think about cybersecurity, digital experiences, and identity and access management.

We are seeking a creative and passionate Data Scientist to join our dynamic data science team in Petah-Tikva (Hybrid). This role is crucial for developing and validating advanced analytical techniques to detect malicious activity and enhance authentication decisions through machine learning and analytics. You will work with rich datasets and cutting-edge technologies, focusing on diverse use cases such as identifying bots, emulators, and malicious human behavior. This position reports to the Data Science Manager and offers the opportunity to lead research projects from ideation to production within a multidisciplinary team of researchers and engineers.

Responsibilities:

• Lead research projects, from initial concept to full production implementation, applying machine learning techniques, primarily with tabular data.
• Collaborate with Data Scientists, Researchers, Product Managers, and Engineers to develop and validate advanced analytic techniques for security products.
• Innovate and research new ML modeling strategies to enhance our fraud and risk detection services.
• Build data-driven tools that enable improved decision-making for various stakeholders.
• Clearly and concisely present complex data analysis to both technical and non-technical audiences.

Minimum Qualifications:

• B.Sc/M.Sc degree in engineering, computer science, statistics, or equivalent experience.
• 4+ years of experience as a Data Scientist.
• Proficiency in machine learning and data analysis principles.
• Hands-on experience with Python and relevant data science packages.

Preferred Qualifications:

• Relevant experience in the consumer fraud industry.
• Knowledge of Cybersecurity technologies and methodologies.
• Experience with AWS SageMaker.
• Experience with Linux environments, administration, security, and internals

Life at Ping:
We believe in and facilitate a flexible, collaborative work environment. We're growing quickly, but remain true to the innovative, can-do startup values that got us here. Most importantly, we keep hiring talented, smart, fun, and genuinely nice people because that's who we want to succeed with every day.

Here are just a few of the things that make Ping special:

• A company culture that empowers you to do your best work.
• Employee Resource Groups that create a sense of belonging for everyone.
• Regular company and team bonding events.
• Competitive benefits and perks.
• Global volunteering and community initiatives

Our Benefits:

• Generous PTO & Holiday Schedule
• Parental Leave
• Progressive Healthcare Options
• Retirement Programs
• Opportunity for Education Reimbursement
• Commuter Offset (Specific locations)

Ping is the collective sum of all our individual experiences, backgrounds and influences and we pride ourselves in growing and learning together. We are committed to building an inclusive and diverse environment where everyone's individuality is respected and everyone has an Identity. In recruiting for new colleagues, we welcome the unique contributions you can bring and encourage you to be your best self.

We are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.