Lead Data Scientist - Remote US

Engineering Mountain View, California or Remote, United States Mountain View, California Spokane, Washington California, United States Arizona, United States Idaho, United States Illinois, United States North Carolina, United States Texas, United States Utah, United States Washington, United States Remote, United States Oregon, United States Indiana, United States


We are scouting for an experienced Lead Data Scientist for our data science team who will be the evangelist responsible for communicating the design, development, and deployment of NLP and ML models in production.

You will utilize data, infrastructure,
and tools to find insights from the large amount of unstructured content entrusted to us by our enterprise customers. 

What You’ll Do (but is not limited to)

  • Work with peers, managers, directors, and VPs to derive insights from customer data 
  • Work with the data science and engineering teams to deliver high quality data science powered solutions to interesting problems
  • Help prepare datasets needed to train and validate our machine learning models
  • Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale
  • Define and implement metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
  • Support the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
  • Support the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
  • Develop, test, and evaluate tools for machine learning models deployment, monitoring, retraining
  • Support solutions ranging from rule-bases, classical ML techniques to the latest deep learning systems
  • Communicate your approach and results both internally and externally 

Your Qualifications 

  • MS or PhD degree in Computer Science or related field
  • 5+ years of relevant industry work experience
  • Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
  • Outstanding communication skills: Attend conferences, participate in blogs and showcase NLP for Egnyte
  • Experience with solving complex problems
  • Experience with practical machine learning modeling
  • Conversant with latest data science advances in the area of NLP including deep learning techniques, statistical techniques, and transformers like BERT
  • Use case experience with Computer Vision
  • Experience with data mining algorithms and statistical modeling techniques for anomaly detection
  • Experience with forecasting methods and multi-seasonality issues
  • Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA

Bonus Skills

  • Experience with large datasets 
  • Experience with distributed computing, especially with the Google Cloud Platform 
  • Good understanding of advanced analytical modeling and statistical forecasting techniques
  • Experience with No–SQL and Graph databases
  • Knowledge of Java, Scala or Golang programming languages
  • Experience with in Docker, Kubernetes
  • Familiarity with Kubeflow
  • Experience with the Hugging Face or the Fairseq libraries
  • Experience with OpenCV 

For this role we would consider candidates located almost anywhere in the United States. When Egnyte eventually returns to working in the office, being able to spend at least some time in our Mountain View, CA office would be desirable but not required. 

Our Benefits

  • Work remote - US
  • Competitive salaries & Stock Options
  • Comprehensive benefits for you and your family (low premiums and deductibles!)
  • Medical, Dental, Vision, Life, Disability, Employee Assistance Program, FSA, HAS, and Commuter/Parking benefits
  • Fully paid premiums for life insurance (up to 2x your salary) / AD&D and the option to enroll in Voluntary Life Insurance
  • Pet Plan-- Enroll in discounted Pet Insurance & Perkspot – Discount program available for entertainment, services, shopping & travel
  • Global Travel – Medical benefits to cover any employees traveling out of the United States on a work-related trip
  • Flexible hours and responsible time off
  • Emotion & Physical Wellness – Free access to emotional and physical wellness apps including Spring Health, Headspace, Aaptiv, Ginger, and Physera
  • Gym, cell phone, and commute reimbursement
  • 401(k) Retirement Plan (Traditional and Roth)
  • SoFi online financial services: Pay off debt sooner, invest in your future, or refinance your mortgage – all in one app
  • FREE Egnyte lifetime membership

Egnyte Company Culture Highlights

  • Winner of Comparably's Award for Best Engineering Team 2021
  • Engineering Department is ranked in the top 5% of companies for Overall Culture on Comparably.

Check us out on Comparably: https://www.comparably.com/companies/egnyte

Equal Opportunity Employment

Egnyte is an equal opportunity employer and values diversity at our company. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com