Principal Applied Data Scientist

Egnyte • Mountain View, CA

236d • $210,000 - $240,000

About The Position

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.

Requirements

• 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 week

Nice To Haves

• 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 opportunities

Responsibilities

• 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 events

Benefits

• Competitive salaries and comprehensive benefits
• Company equity depending on role and level
• Flexible hours and generous time off (RTO, Responsible Time Off) to help support your work-life balance
• Paid holidays and sick time
• 401(k) Retirement Plan (Traditional, Roth and Mega Backdoor Roth)
• Health Savings Account (HSA) with a generous employer contribution
• Up to 12wks of paid Parental and Adoption Leave to help you grow your family
• Modern and collaborative offices located in Spokane, WA; Draper, UT; Raleigh, NC; Mountain View, CA; Reading, England, and Poznan, Poland
• Gym, cell phone, and internet reimbursement
• Free well-being apps such as Peloton, Carrot, and Spring Health for Guardian are offered, as well access to our Employee Assistance Program (EAP)
• Perks include discounted pet insurance, electronics, theme park tickets, travel, plus more
• Your own Egnyte account with lifetime access

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Industry: Professional, Scientific, and Technical Services
• Number of Employees: 1,001-5,000 employees