Data Scientist, Vianai

$115-180k

SQL
JavaScript
Tableau
R
Kafka
Tensorflow
Mid and Senior level
Remote in US
San Francisco Bay Area
Vianai

AI/ML tools for enterprise

Open for applications

Vianai

AI/ML tools for enterprise

21-100 employees

B2BArtificial IntelligenceEnterpriseBig dataAnalyticsMachine Learning

Open for applications

$115-180k

SQL
JavaScript
Tableau
R
Kafka
Tensorflow
Mid and Senior level
Remote in US
San Francisco Bay Area

21-100 employees

B2BArtificial IntelligenceEnterpriseBig dataAnalyticsMachine Learning

Company mission

To empower millions to build machine learning applications.

Role

Who you are

  • M.S. in Computer Science, Applied Mathematics, Statistics or related field
  • Proven track record of developing novel learning algorithms/systems
  • 3-5 years of experience in statistical modeling, machine learning, or data mining practices.
  • Experience with Machine/Deep Learning software packages such as TensorFlow/MXNet/SparkML/R etc
  • Ability to visualize data and present core insights in a clear and compelling way
  • Ability to multi-task, express creativity, and rapid prototype in an agile development environment
  • Excellent communication and teamwork skills
  • Preferred Qualifications:
  • Ph.D. in Computer Science, Applied Mathematics, Statistics or related field
  • Hands on experience on full stack JavaScript web application development
  • Familiar with data stack applications like SQL Database, Data warehouse, Kafka etc
  • Knowledge in Business Intelligence and tools like Tableau

What the job involves

  • You will be part of our ML/Data Science and Engineering teams focused on building and training robust and interactive machine learning applications
  • You will collaborate with a diverse team of designers, developers, engineers and data scientists from around the globe
  • You have strong mathematical, analytical, and quantitative problem solving abilities
  • You can effectively communicate and present your work in a clear and simple manner as a strong team player

Our take

Vianai has released what it describes as a human-centered AI platform, which currently consists of two tools: the Vian H+AI MLOps Platform, which helps enterprise clients deploy and manage more ML models at scale; and Dealtale, a no-code platform helping marketing and sales teams use data science. The former was released in 2022, and the latter was an acquisition made in the same year, so Vianai has been picking up its pace of growth recently.

This is good timing. The appetite for more AI/ML action among top-tier businesses is, broadly speaking, on the up. While Vianai is tight-lipped about its client base, the competitive advantage of handling and acting upon big data means Vianai should be looking at a strong market.

AI and ML, however, are still fairly loose categories - especially at the enterprise level. It means that products in this area can be tricky to market, and willing enterprises may struggle to pull together enough compliant data to make the products valuable. Alongside some hefty funding announcements, Vianai has launched a product in partnership with intelligent integration company Boomi - Boomi World - which will power accurate, enterprise-grade financial AI solutions. This launch suggests that the company is getting over these industry-wide marketing road bumps, so it will be interesting to see how Boomi World fares.

Freddie headshot

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

Few candidates hear
back within 2 weeks

3% employee growth in 12 months

Company

Funding (last 2 of 3 rounds)

Apr 2022

$200m

LATE VC

Jun 2021

$140m

SERIES B

Total funding: $390m

Company benefits

  • Provides you and your family members access to wonderful medical, dental, and more care
  • Offers annual and spot bonuses and equity opportunities
  • Learn and Share program
  • Flexible and remote schedules
  • Discounted health planning and gym memberships

Company HQ

Palo Alto, CA

Leadership

A Stanford Computer Sciences grad, who went on to spend 17 years at SAP - first as EVP of Architecture, then as CTO. Subsequently spent time as MD of Infosys. Also serves on the board of the BMW Group and as an advisor to the Stanford Institute of Human-Centered AI.

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