Senior Data Scientist, KAI

1 week ago

Miami, United States Kandji Full time
About Kandji

Kandji is the Apple device management and security platform that empowers secure and productive global work. With Kandji, Apple devices transform themselves into enterprise-ready endpoints, with all the right apps, settings, and security systems in place. Through advanced automation and thoughtful experiences, we're bringing much-needed harmony to the way IT, InfoSec, and Apple device users work today and tomorrow.

Some of the smartest money in tech has partnered with Kandji to realize our vision, including Tiger Global, Felicis, Greycroft, First Round Capital, and Okta Ventures. In July 2024, Kandji raised $100 million in capital from General Catalyst, bringing Kandji's valuation to $850 Million.

Since Kandji's Series C in 2021, the company has seen a 600%+ increase in annual recurring revenue, and its customer base has grown nearly 4X across 40+ industries. Notable customers include Allbirds, Canva, and Notion, and the company has partnerships with such industry giants as ServiceNow, AWS, and Okta.

Kandji was also named to Forbes' Next Billion Dollar Startup List 2023 and recognized as a top venture-backed startup with the potential to reach unicorn status.

The Opportunity:

As a Data Scientist at Kandji, your research will advance our virtual assistant by leveraging RAG, data modeling and prompt engineering. You will be a critical part of our R&D organization, collaborating with all parts of our product to assist with automated recommendations and insights for our customers.

How you will make a difference day to day:
    • Develop new LLM agents that serve as part of a greater AI assistant infrastructure.
    • Work closely with app development teams to request their data to feed into KAI and provide feedback to iterate on the initial data model.
    • Iterates on LLMs to increase accuracy and efficiency in identifying and solving problems within customers fleets.
    • Work closely with engineers, product managers, and decision-makers to align data science projects with business objectives.
    • Innovate and implement novel, effective ways to use our data to monitor for successful transactions between the assistant and our customers.
Minimum qualifications:
    • 4+ years of practical experience in data science roles.
    • A proven track record of getting machine learning models into production, as well as LLM experience.
    • Deep understanding of machine learning algorithms and statistical modeling; proficiency in Python and SQL is essential.
    • Excellent communication and leadership skills, with the ability to translate complex findings into a compelling narrative.
    • Familiarity with LLM concepts and trends.
Preferred qualifications:
    • Advanced degree in Computer Science, Data Science, or a related field.


Benefits & Perks

•Competitive salary

•100% individual and dependent medical + dental + vision coverage

•401(k) with a 4% company match

•20 days PTO

•Health and wellness days

•Kandji Wellness Week the first week in July

•Equity for full-time employees

•Up to 16 weeks of paid leave for new parents

•Paid Family and Medical Leave

•Modern Health - Mental Health Benefits - Individual and Dependents

•Fertility Benefits

•Working Advantage Employee Discounts

•Free onsite fitness center

•Free parking

•Lunch 5 days/week

•Exciting opportunities for career growth

•An outstanding, inclusive culture

We are excited to be serving a significant need for a fast-growing market, and are proud of the high-performing team we have brought together so far. If you're someone who wants to engage in new, exciting projects that will challenge your skills in the best way possible, we would love to connect with you.

At Kandji we believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and welcome those from all backgrounds and varying experiences.

Kandji is proud to be an equal opportunity employer committed to diversity and inclusion in the workplace. Qualified applicants will be considered for employment without regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, physical or mental disability, protected veteran or military status or any other status protected by applicable law.

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