Versa Networks Careers - Data Scientist

Versa Networks • Santa Clara, CA

261d • $170,000 - $225,000 • Hybrid

About The Position

At Versa Networks, we're revolutionizing the way businesses connect, secure, and optimize their networks. Our mission is to secure anywhere, anytime access to anything. As a leader in Secure SD-WAN, SSE (Secure Service Edge), SASE (Secure Access Service Edge) and Next-generation Managed Services, we are empowering organizations across the globe to transform their IT infrastructure for the modern cloud era. Our innovative products enable enterprises to deliver a seamless, scalable, and secure digital experience, no matter where their users, devices, or applications are located. Founded by industry veterans and backed by premier venture capital firms, Versa is a market leader driving innovation and growth as it positions itself for a future IPO. We believe in fostering a culture of innovation, collaboration, and customer success. Our team is comprised of passionate, forward-thinking professionals dedicated to driving the future of networking technology. We encourage creativity, offer opportunities for growth, and provide a dynamic environment where our people can thrive and make an impact. At Versa Networks, we don't just build products - we build relationships, elevate businesses, and shape the digital future. Join us and be part of a fast-paced, cutting-edge company that's making a real difference in how the world connects and communicates.

Requirements

• Masters degree in Computer Science/Engineering.
• 4-5 years of experience in data science or a related field.
• Strong proficiency in Python programming language.
• Experience with data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib, Seaborn).
• Knowledge of machine learning algorithms and techniques.
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.

Nice To Haves

• Experience with Go programming language.
• Acceleration frameworks such as RAPIDS, Spark is preferable.
• Knowledge of cloud platforms (e.g., AWS, GCP, Azure).
• Experience with data version control and MLOps practices.

Responsibilities

• Conduct exploratory data analysis (EDA) to understand data characteristics and identify patterns.
• Utilize data visualization techniques to communicate insights effectively.
• Ingest, clean, preprocess, and transform data to prepare it for analysis and modeling.
• Handle missing values, outliers, and inconsistencies.
• Label datasets appropriately for classification problems.
• Build, train, and evaluate machine learning models, including traditional algorithms like CNNs, XGBoost, Transformers, Various Graph ML algorithms, Time Series modelling, LLM etc.
• Collaborate with engineering teams to deploy models into production, ensuring scalability and reliability.
• Be aware of and have experience in model quantization, model evaluation and various deployment formats like ONNX, GGUF etc.
• Apply critical thinking and problem-solving skills to tackle complex data challenges.
• Work effectively with data engineers, analysts, and domain experts to understand business requirements and translate them into actionable data insights.

Benefits

• Competitive Salary & Incentives: We offer a competitive compensation package with and pre-IPO equity to reward your hard work and dedication.
• Health & Wellness: Comprehensive medical, dental, and vision insurance plans to ensure you and your family stay healthy and covered.
• Paid Time Off (PTO): Enjoy a generous PTO policy that includes vacation days, sick leave, and paid holidays to recharge and take care of personal matters.
• Flexible Work Environment: We understand the importance of work-life balance. Enjoy the flexibility of remote work, and hybrid option to create the work schedule that works best for you.
• Professional Development: We believe in continuous learning. Access to training, certifications, and educational resources to help you grow in your career and stay ahead of industry trends.
• Employee Recognition: We celebrate achievements both big and small, with regular recognition programs and awards that highlight your contributions to our collective success.
• Collaborative Culture: Be part of a dynamic, inclusive, and supportive team where innovation and collaboration are at the heart of everything we do.
• Parental Leave: Generous parental leave policies to support you during life's important moments.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Publishing Industries
• Education Level: Master's degree
• Number of Employees: 501-1,000 employees