Create Email Alert

Email Alert for

ⓘ There was an unexpected error processing your request.

Please refresh the page and try again.

If the problem persists, please contact us with your issue.

Email address is already registered

You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.

Would you like to [visit your alert settings] now?

Success! You're now signed up for Job Alerts

Get ready to discover your next great opportunity.

Similar Jobs

  • SLB

    Data Scientist/Senior Data Scientist

    Menlo Park, CA, United States

    Job Title Data Scientist/Senior Data Scientist Location Software Technology Innovation Center (STIC), Menlo Park, CA, USA Job Description SLB’s Software Technology Innovation Center (STIC) is looking for an experienced data scientist with a solid fundamental understanding of various modern machine-learning methods to address highly challengi

    Job Source: SLB
  • C3 AI

    Data Scientist/Senior Data Scientist

    Redwood City, CA, United States

    • Ending Soon

    C3.ai, Inc. (NYSE:AI) is a leading Enterprise AI software provider for accelerating digital transformation. The proven C3 AI Platform provides comprehensive services to build enterprise-scale AI applications more efficiently and cost-effectively than alternative approaches. The C3 AI Platform supports the value chain in any industry with prebuilt,

    Job Source: C3 AI
  • Glean

    Data Scientist

    Palo Alto, CA, United States

    • Ending Soon

    About Glean We’re on a mission to make knowledge work faster and more humane. We believe that AI will fundamentally transform how people work. In the future, everyone will work in tandem with expert AI assistants who find knowledge, create and synthesize information, and execute work. These assistants will free people up to focus on the higher-lev

    Job Source: Glean
  • Quantifind

    Data Scientist

    Palo Alto, CA, United States

    Who You Are You are a full-stack data scientist, an experienced quantitative thinker who wants to develop further as both a data scientist and an engineer. You are skilled at finding the precise mathematical kernels of real-world business challenges faced by leading international financial institutions. You want to apply your expertise in statisti

    Job Source: Quantifind
  • Diverse Lynx

    Data Scientist

    Menlo Park, CA, United States

    Job Title: Data Scientist Location: Menlo Park, CA Onsite from day 1st Duration: Full Time Job Description Job Summary: We are seeking a talented and experienced Data Scientist to join our team. The ideal candidate will have a strong background in Big Data technologies, including Hadoop, as well as proficiency in data visualization tools such

    Job Source: Diverse Lynx
  • Dice

    Data Scientist

    Menlo Park, CA, United States

    • Ending Soon

    Dice is the leading career destination for tech experts at every stage of their careers. Our client, SGS Consulting, is seeking the following. Apply via Dice today! SUMMARY: The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Job Responsibiliti

    Job Source: Dice
  • Mindlance

    Data Scientist

    Menlo Park, CA, United States

    The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Job Responsibilities: • Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose bus

    Job Source: Mindlance
  • Pull

    Data Scientist

    Palo Alto, CA, United States

    • Ending Soon

    Pull Systems helps electric vehicle (EV) manufacturers, suppliers and operators manage their fleets with increasing levels of automation. Our software platform is underpinned by a library of machine learning models that predict battery behavior using a world class database of 3 years of operating history from nearly 100k vehicles. With Pull Systems

    Job Source: Pull

Data Scientist

Cupertino, CA, United States

Data Scientist

Mist, a Juniper Company, is the first vendor to bring an enterprise-grade full stack (AP, switch and route) cloud AIOps solution that is a leader in the Gartner wired / wireless MQ. On top of this real time cloud stack, we are building an AI-empowered platform to answer questions on par with network domain experts and automate remediation to poor user experiences on the network. Mist’s Marvis AI/ML platform has become the new global standard for many fortune 500 companies.

The mission of the Data Science team at Mist is to leverage state-of-art ML and AI technologies to build the next-generation self-driving network solution that can deploy and operate networks faster and on par with human IT domain experts. The team includes a group of experienced and talented data scientists and data science engineers, and builds the end-to-end data analytics infrastructure and ML models of the product.

We are looking for a Data Scientist to help define and expand this mission. As a data scientist in the Mist Data Scientist team, you will collaborate with product managers, customer and domain experts to identify use-impacting real customer problems, use your deep DS/ML knowledge to develop models to help predict user experience and find root cause to user experience problems, and work closely with data engineers to implement and scale the models in a production SaaS cloud environmnet.

Responsibilities

Collect, clean, and transform data from various sources and formats for model training

Perform exploratory data analysis and visualization to understand patterns and trends

Build, test, and deploy predictive models and algorithms using appropriate tools and frameworks to a production cloud environment

Communicate findings and recommendations to stakeholders and clients using clear and compelling reports and presentations

Collaborate with other data scientists, engineers, and domain experts on cross-functional projects

Qualifications / Requirements

Masters or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background

Proficiency in Python, R, SQL, or other programming languages for data analysis

Experience with data wrangling, manipulation, and visualization tools and libraries such as pandas, numpy, scikit-learn, matplotlib, seaborn, etc.

Knowledge of machine learning concepts and techniques such as supervised and unsupervised learning, regression, classification, clustering, dimensionality reduction, etc.

Familiarity with cloud computing platforms and services such as AWS, Azure, or Google Cloud

Strong analytical and problem-solving skills

Minimum Salary: $140,800.00

Maximum Salary:$202,400.00

The pay range for this position is expected to be between $140,800.00 and $202,400.00/year; however, the base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position also includes medical benefits, 401(k) eligibility, vacation, sick time, and parental leave. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Juniper’s pay range data is provided in accordance with local state pay transparency regulations. Juniper may post different minimum wage ranges for permanent residency petitions pursuant to US Department of Labor requirements.

Apply

Create Email Alert

Create Email Alert

Email Alert for Data Scientist jobs in Cupertino, CA, United States

ⓘ There was an unexpected error processing your request.

Please refresh the page and try again.

If the problem persists, please contact us with your issue.

Email address is already registered

You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.

Would you like to [visit your alert settings] now?

Success! You're now signed up for Job Alerts

Get ready to discover your next great opportunity.