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Principal Applied Data Scientist - Mountain View California
Company: Egnyte
Location: Mountain View, California
Posted On: 05/09/2025
PRINCIPAL APPLIED DATA SCIENTISTMOUNTAIN VIEW, CAEGNYTE YOUR CAREER. SPARK YOUR PASSION.Egnyte is a place where we spark opportunities for amazing people. We believe that every role has a great impact, and every Egnyter should be respected. When joining Egnyte, you're not just landing a new career, you become part of a team of Egnyters that are doers, thinkers, and collaborators who embrace and live by our values: Invested Relationships Fiscal Prudence Candid ConversationsABOUT EGNYTEEgnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit .Egnyte is scouting for a Principal Applied Data Scientist to drive innovation and leadership across AI initiatives, with a special emphasis on GenAI and NLP solutions. As a Principal Applied Data Scientist, you will play a pivotal role in shaping the future of Gen AI at Egnyte by defining technical strategy, driving the development of predictive models and insights, and collaborating closely with cross-functional teams to turn complex data into actionable business solutions at scale. You will mentor and guide data science teams while providing expertise in state-of-the-art AI/ML practices, ensuring a robust production pipeline and the professional management of models.WHAT YOU'LL DO: - Develop and own the data science roadmap that aligns with Egnyte's business goals
- Define success metrics and oversee the entire lifecycle of data initiatives from concept to production deployment.
- Architect, develop, and deploy state-of-the-art machine learning models
- Champion best practices in model development, validation, and monitoring in production environments
- Partner with product, engineering, and business teams to translate business requirements into data-driven solutions
- Provide technical leadership and mentor the data science team
- Architect and provide production monitoring and support for Egnyte's ML services
- Stay ahead of industry trends by continuously evaluating emerging technologies and methodologies in data science and machine learning
- Represent Egnyte's technical excellence through publications, presentations, and participation in industry eventsYOUR QUALIFICATIONS:
- 10+ years of professional experience in data science with a proven track record in building and supporting production grade ML systems
- Proficient in Python with hands-on experience in machine learning frameworks (e.g., TensorFlow, PyTorch)
- Experience with natural language processing (NLP) and/or computer vision techniques
- Experience working with RAG pipelines and LLMs
- Experience working with large-scale datasets and distributed computing platforms like GCP
- Strong understanding of ML lifecycle and MLOps practices
- Experience with monitoring tools like Prometheus, Grafana and logging systems e.g. ELK stack
- Strong problem-solving skills and a proactive approach to system reliability and observability
- Exceptional communication and interpersonal skills to effectively present complex insights to both technical and non-technical stakeholders
- Experience providing technical leadership to engineers
- Willingness to be in office 3 days per weekPreferred Qualifications:
- Prior experience in enterprise software, cloud security, or content governance industries is a plus
- Proficiency in additional programming languages such as Java, Scala, or Go
- An innovator willing to explore new technologies and looking for career growth through ownership and leadership opportunitiesCOMPENSATION:Our compensation reflects the cost of labor across multiple U.S. geographic locations, and pay varies based on defined markets. The standard base pay range for this position across the U.S. is $210k - $240k annually. Pay varies by work location and may also be dependent on job-related skills, knowledge, and/or experience. During the interview and/or hiring process, your recruiter can share more information about the compensation package specific to the role and job location.BENEFITS:
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