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Salesforce

Data Scientist - MeshMesh

  • Office
  • 3-6 years

Salary

Not stated

Similar roles pay $130K - 200K a year · our estimate

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Description

The MeshMesh team is developing a next-generation mesh networking platform for the company's customers.

You will work with Product, Infrastructure and Engineering to shape product strategy using data, find growth opportunities and produce insights that guide the roadmap.

Responsibilities

  • Advise senior leaders at VP level and above on strategic goals, product direction, roadmaps, growth targets and retention plans.
  • Acquire and clean data, build data models and share findings that explain performance drivers, retention and behavioral personas.
  • Work with data and product engineers to set up and structure the data that measures product success.
  • Deliver data products such as pipelines, algorithms and self-service dashboards together with data and business intelligence engineers.
  • Research, build and roll out automated pipelines for deploying algorithms.
  • Promote data products that lead to action or product improvements.
  • Help build up the company's data culture through learning sessions, new tools and better processes.

Requirements

  • You have at least 5 years of experience in product analytics or data science.
  • You think analytically and apply data and scientific methods to business problems.
  • You are skilled in Python and expert in SQL.
  • You can handle end-to-end data work, from model design and quality review to deployment and upkeep.
  • You build with Claude and similar AI coding tools, using agent loops, tool use and grounded context engineering to ship code quickly.
  • You have experience building and deploying data science models in a cloud environment.
  • You can tell clear stories and lead growth discussions with senior leaders.
  • You build relationships and work well across disciplines.
  • You hold a related technical degree.
  • Preferred: experience with large-scale data storage and analysis technologies such as Spark, Presto or Hive.
  • Preferred: experience with time series forecasting methods.

Conditions

The company promotes equality and aims for a workforce that reflects its customers and communities.

If you apply, please limit yourself to no more than 3 roles within 12 months to avoid duplicating effort.

Benefits

  • Benefits and resources designed to help you balance work and life.

Where you’d work

From the office

About the company

Salesforce

  • Industry: SaaS

Offices in San Francisco, United States, Seattle, United States, United States

Also hiring in Amsterdam, Netherlands, New York, United States, London, United Kingdom and 32 more places

34 of their 332 open roles are remote

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Details11 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • SQL
  • Spark
Type
Full-time
Industry
SaaS
Specialty
Data Science
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Science
Experience
5+ years
Tech stack
  • Python
  • SQL
  • Spark

Location

Work model
Office
Region
United States
Offices
  • San Francisco, United States
  • Seattle, United States
  • United States

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
SaaS

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