Senior Data Scientist

Versa Networks; Santa Clara (CA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

ESOP

Bonuses

Statutory Benefits

Relocation

Flexi Working

Performance Management

Career Progression

Global Mobility

Job summary

Versa Networks in Santa Clara, CA, seeks an experienced Data Scientist to join the Machine Learning team. You will explore data, build and deploy ML models for networking, security and language use-cases, and work with cross-functional teams to drive data-informed decisions.

You will handle data prep, feature engineering, and model deployment with modern frameworks (TensorFlow, PyTorch) and tools, while applying statistical thinking and clear communication.

Qualifications

• Familiarity with deep learning frameworks and Python.
• M Sc in CS/Engineering or related field.
• NL P and LLM experience is a plus.
• Knowledge of ML algorithms and data analysis tools.
• Experience with visualization tools and collaboration skills.
• 8+ years in data science or related field.

Responsibilities

• Perform EDA and visualize data to communicate insights.
• Prepare, clean, and feature engineer data for models.
• Build, train, and evaluate ML models (CNNs, Transformers, Graph ML, time series).
• Deploy models into production with scalable pipelines.
• Collaborate with data engineers, analysts, and domain experts.

Skills

Python

Deep Learning

NLP

Go programming

Data Visualization

Problem-Solving

Communication

Education

Master's degree in Computer Science/Engineering

Tools

TensorFlow

PyTorch

XGBoost

ONNX

GGUF

RAPIDS

Spark

Pandas

NumPy

Matplotlib

Seaborn

AWS

GCP

Azure

Job description

• We are seeking a talented and motivated Data Scientist to join our Machine Learning team.
• In this role, you will contribute to a wide range of data-driven projects, from exploratory data analysis to building and deploying machine learning models for a variety of Networking, Security and Language use-cases.
• You will work closely with cross-functional teams to uncover insights, solve complex problems, and drive data-informed decision-making
• Data Analysis and Visualization: Conduct exploratory data analysis (EDA) to understand data characteristics and identify patterns. Utilize data visualization techniques to communicate insights effectively
• Data Preparation and Engineering: Ingest, clean, preprocess, and transform data to prepare it for analysis and modeling. Handle missing values, outliers, and inconsistencies. Labeling datasets appropriately for classification problems
• Machine Learning: Build, train, and evaluate machine learning models, including traditional algorithms like CNNs, XGBoost, Transformers, Various Graph ML algorithms, Time Series modelling, LLM etc
• Model Deployment: Collaborate with engineering teams to deploy models into production, ensuring scalability and reliability. You need to be aware of and have experience in model quantization, model evaluation and various deployment formats like ONNX, GGUF etc
• Problem-Solving: Apply critical thinking and problem-solving skills to tackle complex data challenges
• Collaboration: Work effectively with data engineers, analysts, and domain experts to understand business requirements and translate them into actionable data insights

Benefits

• ESOP
• Incentives and Bonuses
• Statutory Benefits: PF, ESI, Maternity Benefits, Leaves & Holidays
• VPF, NPS, Meal Vouchers, Paternity Leaves
• Health: Medical, Accidental, Term Life Insurances
• Relocation Benefits
• Flexi Working
• Reward & Recognition Policies
• Transparent Performance Management Process
• Career Progression
• Global Mobility

Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch)Strong proficiency in Python programming languageMasters degree in Computer Science/EngineeringExperience with natural language processing (NLP) and large language models (LLMs) is a plusKnowledge of machine learning algorithms and techniquesExperience with data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib, Seaborn)Strong problem-solving and analytical skills8+ years of experience in data science or a related fieldExcellent communication and collaboration skillsAcceleration frameworks such as RAPIDS, Spark is preferableExperience with Go programming languageKnowledge of cloud platforms (e.g., AWS, GCP, Azure)Experience with data version control and MLOps practices