Data Scientist

Fini

Remote (Anywhere)

Accepting Applications Full-time Remote
Posted 16 hours, 45 minutes ago 0 views 0 applications
Job Description
**Company Description** Fini is a cutting\-edge AI solution designed to enhance customer support operations with a focus on accuracy. Trusted by mid\-market and enterprise B2C companies in industries like fintech, SaaS, and marketplaces, Fini automates up to 80% of customer support tickets with 98% verified accuracy, improving efficiency while maintaining high standards in regulatory compliance. Its unique AI architecture integrates seamlessly with platforms like Zendesk, Salesforce, Intercom, and HubSpot, ensuring all resolutions are traceable to real data and policies. Fini serves organizations like the U.S. Chamber of Commerce, Bitdefender, and major Fortune 500 companies, handling over 1,000,000 tickets monthly. With compliance certifications such as SOC 2, GDPR, and ISO 27001, Fini sets a new standard for secure and high\-quality AI\-powered support solutions. **Role Description** This is a full\-time remote role for a Data Scientist at Fini. In this role, you will design, build, and implement data models to enhance the performance of Fini's AI systems. Key responsibilities include analyzing structured and unstructured data, developing predictive and prescriptive analytics, creating visualizations, and delivering insights for internal and client\-facing use. You will collaborate with cross\-functional teams to improve AI performance and ensure data reliability and compliance with regulatory standards. **Qualifications** * Strong skills in Data Science and Statistics * Proficiency in Data Analysis and Data Analytics * Experience with Data Visualization tools and techniques * Ability to work with large datasets and ensure data integrity * Proven experience with machine learning and AI frameworks is a plus * Advanced knowledge of programming languages such as Python, R, or SQL * Familiarity with tools like Tableau, Power BI, or similar platforms * Strong communication skills to translate data findings into actionable insights * Educational background in Data Science, Computer Science, Mathematics, or a related field
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