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Data Scientist

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About Us

Versa Networks, Inc. is a leading vendor of next-generation Software Defined solutions and architectures, called SASE (Secure Access Service Edge). Versa is providing an end-to-end solution that both simplifies and secures the WAN/branch office network.

The goal of Versa Networks is to provide unprecedented business advantages through a software-based approach that allows for unmatched agility, cost savings and flexibility. We have created a feature-rich, scalable yet simple to use software platform to implement many different enterprise and service provider use cases, including:

  • Full software-defined branch for enterprise customers.
  • Secure SD-WAN for enterprises with layered security.
  • Next-generation managed services for service providers.

We are seeking a talented and motivated Data Scientist to join our Machine learning team.

Job Summary

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.
Qualifications
  • 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).
  • Experience with natural language processing (NLP) and large language models (LLMs) is a plus.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.
  • Preferred Qualifications:
    • 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.
Our Benefits

Versa Networks is a small but rapidly growing organization. It is built by people with vast experience in the networking industry. We are a pragmatic team with a healthy work-life balance. We offer competitive compensation packages with pre-IPO equity. Additionally, we offer a quality of life benefit to everyone in an inspiring environment with skilled and passionate co-workers. Our exciting company culture offers a great place to work and most important, to have fun.

 

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CEO of Versa Networks
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What You Should Know About Data Scientist, Versa Networks

Are you ready to dive into the exciting world of data and machine learning? Versa Networks, Inc. is looking for a talented Data Scientist to join our innovative Machine Learning team. In this role, you will be at the heart of numerous data-driven projects, where you'll explore vast datasets, uncover valuable insights, and help build and deploy machine learning models that make a real impact in the fields of networking, security, and language processing. As a Data Scientist at Versa, you'll take the lead in conducting exploratory data analysis and applying visualization techniques to communicate your findings clearly. You'll also be responsible for cleaning and preparing data for analysis, utilizing your expertise to handle missing values and inconsistencies. Beyond data preparation, you will build and train machine learning models leveraging traditional algorithms, deep learning frameworks, and even explore advanced techniques like natural language processing (NLP). Collaboration is key at Versa, and you will work closely with cross-functional teams to translate business needs into actionable data insights. We're searching for someone with a strong background in Python programming, data analysis tools, and a knack for problem-solving. Plus, if you have experience with trendy technologies like cloud platforms or MLOps practices, that’s a bonus! At Versa Networks, we pride ourselves not only on our cutting-edge technology but also on our fantastic company culture, where work-life balance is paramount and you'll have a chance to collaborate with skilled colleagues while having fun. If you're passionate about diving deep into data and driving real change, we invite you to step into this exciting opportunity as a Data Scientist with us!

Frequently Asked Questions (FAQs) for Data Scientist Role at Versa Networks
What does the Data Scientist role at Versa Networks involve?

The Data Scientist role at Versa Networks involves conducting data analysis, building machine learning models, and collaborating with various teams to derive actionable insights for networking, security, and language use cases. You will be integral in data preparation, analysis, and visualization, as well as deploying models into production.

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What qualifications are needed to apply for the Data Scientist position at Versa Networks?

To apply for the Data Scientist position at Versa Networks, candidates should possess a Master's degree in Computer Science or Engineering, 4-5 years of relevant experience, strong proficiency in Python, and familiarity with data analysis tools. Knowledge of machine learning algorithms and frameworks is essential.

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How does Versa Networks support the growth of their Data Scientists?

Versa Networks supports the growth of Data Scientists by providing an inspiring work environment, opportunities for cross-functional collaboration, and access to advanced technologies and resources to further develop your skills in data science and machine learning.

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What programming languages should I know for the Data Scientist role at Versa Networks?

For the Data Scientist role at Versa Networks, strong proficiency in Python is required. Knowledge of the Go programming language and familiarity with data analysis and visualization tools will also be beneficial.

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Are there benefits to being a Data Scientist at Versa Networks?

Yes! As a Data Scientist at Versa Networks, you'll enjoy a competitive compensation package, the opportunity for pre-IPO equity, and a great work-life balance. Additionally, you will be working in a collaborative environment with passionate colleagues who value innovation.

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What technologies will I work with as a Data Scientist at Versa Networks?

As a Data Scientist at Versa Networks, you will work with various technologies including machine learning frameworks like TensorFlow and PyTorch, data analysis tools like Pandas and NumPy, and potentially cloud platforms such as AWS or Azure that assist in model deployment.

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What kind of projects will I be involved in as a Data Scientist at Versa Networks?

As a Data Scientist at Versa Networks, you will be involved in projects that include exploratory data analysis, building machine learning models for applications in networking and security, and utilizing natural language processing to derive insights from data. You'll play a key role in tackling complex data challenges.

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Common Interview Questions for Data Scientist
Can you describe your experience with machine learning algorithms and models?

In answering this question, focus on specific algorithms you've worked with, such as CNNs or XGBoost. Discuss the types of projects where you've applied these models, the outcomes, and any challenges you overcame during implementation.

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How do you handle missing or inconsistent data in your datasets?

When addressing this question, explain your approach to data cleaning, including methods like imputation or removal of missing values. Mention any tools or frameworks you use and emphasize the importance of ensuring data quality for analysis.

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Can you walk us through your process of exploratory data analysis?

Share your structured approach to exploratory data analysis, highlighting the steps you take to understand dataset characteristics. Discuss the visualization tools you use to communicate findings and any significant insights you've gained in past projects.

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What is your experience with deploying machine learning models into production?

Discuss any experience you have with deployment frameworks or practices, such as ONNX or cloud-based deployments. Explain how you ensure model scalability and reliability and detail any collaboration with engineering teams during the deployment process.

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Have you worked with natural language processing (NLP) techniques? Can you provide an example?

If applicable, describe your experience with NLP techniques. Provide specific examples of projects where you've used NLP for tasks such as sentiment analysis or text classification, and discuss the tools or libraries you used for implementation.

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How do you approach problem-solving when confronted with complex data challenges?

Explain your problem-solving methodology, emphasizing critical thinking and analytical skills. Share specific examples of complex challenges you've faced and the creative solutions you implemented to overcome obstacles.

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What experience do you have with data visualization, and what tools do you use?

When responding, mention the visualization tools you are proficient in, such as Matplotlib or Seaborn. Illustrate how you use these tools to convey insights from data analysis clearly, linking this to past experiences.

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Describe a successful project that utilized machine learning to solve a business problem.

Provide a focused answer detailing a project where you applied machine learning techniques effectively. Discuss the problem, the process you followed, and the measurable outcomes or improvements resulting from your work.

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How do you stay current with emerging trends and technologies in data science?

Discuss your methods for staying updated, such as attending workshops, participating in online forums, or following relevant publications. Share how you’ve integrated new knowledge or technologies into your previous work.

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Why do you want to work as a Data Scientist at Versa Networks?

Express your enthusiasm for the position at Versa Networks, mentioning aspects of their technology and culture that appeal to you. Connect your skills and experiences with how they align with the company's goals and the Data Scientist role.

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Full-time, remote
DATE POSTED
November 24, 2024

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