Senior Data Scientist

We're Karat, the world's largest interviewing company.

Karat helps companies hire top engineering talent with confidence. As an end-to-end hiring solution, we work with organizations to improve the quality, efficiency, and equity of their technical hiring process. Global leaders like Walmart, Atlassian, and Citi rely on Karat to conduct hundreds of assessments and interviews every day through a powerful combination of human expertise and innovative technology. Our mission is to make every interview predictive, fair and enjoyable so we can unlock opportunity -- for everyone. We’re a passionate, focused, human-centric team, and we want you to join us!

Come join our Artificial Intelligence team

Our AI team will work across product boundaries to rapidly prototype the AI products and features that will define the future of technical interviewing for Karat, create a competitive moat for our business, and allow our customers to source, hire, and retain the right talent with increased predictivity, less bias, and previously unimaginable efficiency.

What you will do

As a Senior Data Scientist on the AI team at Karat, you will drive innovation by extracting key insights from our data, and providing actionable recommendations for innovative products that can be built into the Karat platform as we scale. Collaborating with a small team of Engineers, you will innovate on top of the Company’s internal and external data, leverage cutting-edge AI technology like LLMs, carry complex analysis, build proofs-of-concept and prototypes, create insight, and build models and products that serve a variety of key end-users in the Interviewing Cloud space.

This is a Salary, Exempt position. Immigration sponsorship is not available.

• Lead projects in close partnership with engineering teams to increase the signal captured during technical interviews, maximizing the product value provided to clients.
• Work hands-on in coding, data preprocessing, feature engineering, model development, and exploratory data analysis.
• Lead projects and mentor teammates working in the Data Science and AI realms across all teams and products.
• Partner with business stakeholders to understand the Company’s business challenges, develop hypotheses, and propose data-driven solutions to those challenges.
• Present complex findings and insights to non-technical audiences, influencing decision-makers across the organization.
• Stay abreast of the latest advancements in Data Science, Machine Learning, and AI, and proactively identify opportunities to apply emerging technologies to Karat’s business needs.
• Lead the dialogue within Karat about AI, Data Science and Machine Learning.

The experience you will bring

• 5+ years of tech industry experience in Data Science, Machine Learning, AI, or other related roles
• Strong expertise in programming languages such as Python, and proficiency in using relevant data science libraries and frameworks
• Experience with cloud platforms (e.g., AWS, Azure, GCP), data engineering pipeline and tools such as dbt, airflow, and model deployment process
• Proven track record leading Data Science, Machine Learning or AI projects that have delivered significant business impact
• Exceptional problem-solving skills with the ability to translate business challenges into data-driven solutions
• Deep understanding of statistical analysis, data manipulation, and data visualization techniques
• Excellent communication skills, with the ability to communicate complex technical concepts to both technical and non-technical audiences

Individual base pay depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. This role may be eligible for additional rewards, including commissions, bonuses, and equity.The base salary pay range across the United States for this role is:$117,490.80—$173,500 USD

Statement of Inclusivity:

In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success ha