Sr. to Lead Data Scientist - Fraud Detection / Prevention

Sr. to Lead Data Scientist - Fraud Detection / Prevention

The company can hire someone from mid to senior to lead (leading 2 people) level.

Location: you can either work remotely or in the company's office in Palo Alto, CA

The company is self-funded and founded by industry veterans with a track record of tremendous success. The CEO/Cofounder previously cofounded a company that is publicly traded and has reached an over $20 billion market cap. The CTO/Cofounder previously was a long time engineering leader at Facebook.

The company's product involves risk assessment, fraud detection/prevention, and AI. It is already being used by many customers. Revenues are increasing rapidly.

The company has about 40 employees and 30 engineers and is growing rapidly.

The company will pay very competitive salary (up to $300k), plus equity which could be lucrative.

Job Responsibilities:

- Utilizing machine learning and statistical techniques to develop and implement advanced fraud detection models that will protect businesses from fraudulent activities.

- Having a high impact in building out the ML stack.

- Collaborating with cross-functional teams, including engineering, product, and operations.

- Analyzing large volumes of data in order to identify patterns, trends, and anomalies indicative of fraudulent behavior. Deriving data-driven insights to improve fraud prevention strategies.

- Evaluating the performance of existing fraud detection models and systems, and continuously optimizing and update them to adapt to changing fraud trends and tactics.

- Remaining up-to-date with the latest trends and advancements in fraud detection, data science, and machine learning, and applying that knowledge to the company's fraud prevention capabilities.

Qualifications:

- Experience being responsible for the outcome (not just the model) of machine learning models you have designed and built to catch fraud.

- At least 5 years of professional experience (the more the better) as a Data Scientist focused on fraud detection and prevention. Knowledge of current fraud tactics and trends.

- Proficiency in Python.

- Ability to work collaboratively as well as independently, and thrive in a fast-paced startup environment.

- Expertise in machine learning algorithms and statistical techniques, with a focus on their use for fraud detection.

- Strong communication skills, with the ability to explain complex concepts and findings to technical as well as non-technical people.

Nice to have:

- Experience with fraud detection/prevention in the fintech, marketplaces, or financial services industry.

- Startup experience.

- Experience with LLMs / Large Language Models.

About Skyrocket Ventures

Skyrocket Ventures is a recruiting firm for hundreds of high growth technology companies that range from industry leaders to top-tier startups. This opportunity is with one of our client companies for a full-time permanent hire. Please only apply if you are authorized to work in the U.S.

Please note that even if this job is not a perfect match, we encourage you to apply as long as it is in the ballpark. Companies are often flexible in hiring candidates who do not perfectly fit their written job description, as long as the most important qualifications are there and the candidate is good in general.

Most of the jobs we are recruiting for are not posted online, so if you would like to know of all the opportunities we have that match your interests and qualifications, then please get in touch with us.

After you apply to this job posting, we’ll consider you for this job as well as any other potential matches with our client companies. If we have any potential matches, we’ll share your resume with those companies and contact you about any interview opportunities we can get you.

Thank you, and we wish you a great job search!