Software Solutions Engineer

1 month ago

San Francisco, California, United States Plato Systems Full time
Transform Manufacturing Operations with Plato Systems

We're on a mission to revolutionize manufacturing operations by harnessing the power of spatial activity data and AI. Our intelligent analytics platform, fueled by a revolutionary device, provides an operations digital twin that combines factory operator activity with machine data for the first time.

As a Solutions Engineer at Plato Systems, you'll work collaboratively with different teams to transform data generated by our fleet of edge devices into data products that are consumable by our end customers.

Responsibilities:

  • Understand customers' existing digital operations data and integrate it into Plato's data fusion platform
  • Tailor Plato applications to meet specific customer needs
  • Perform exploratory data analysis and data science to generate actionable insights from Plato's unique spatio-temporal data
  • Conduct hypothesis testing and utilize statistical methods to assess the validity of insights
  • Understand the context of KPIs and customers' business needs to create products or experiences that address customer pain points
  • Become an internal expert and consultant for each customer insight module
  • Rapidly generate and iterate through hypotheses to build relevant, story-driven insights
  • Tell compelling stories that use data and data visualization to compel the audience with the power of the insight
  • Work in a data-driven environment, drive process improvement, and translate high-level business goals to working software solutions and customer-facing outputs

Qualifications:

  • BS or MS in an engineering/quantitative field, such as computer science, electrical engineering, mechanical engineering, pure or applied sciences (math, physics, ...), etc.
  • Proficiency in Python (numpy, scipy, pandas, matplotlib, and plotly) and OOP programming
  • End-to-end experience with data, including databases, querying, aggregation, analysis, and visualization
  • Familiarity with networking and Linux environment
  • Able to work from our San Francisco office at least three days/week
  • A proactive problem solver who can collaborate with internal and external partners and communicate effectively with diverse audiences
  • Strong analytical skills, with the ability to analyze data to identify issues and measure success
  • Comfortable working independently in a fast-paced and ambiguous startup environment
  • Willingness to travel ~3 days per month
  • Valid passport or ability to obtain one

Preferred Qualifications:

  • Experience as a solution engineer, application engineer, data scientist, senior data analyst, or a similar technical role at a fast-growing technology company
  • An analytics background is a plus (such as physics, statistics, or other engineering)
  • Experienced and comfortable with engaging with customers
  • Ability to understand large data sets and use appropriate technologies and methodology to manipulate data (e.g., SQL, R, Python, ETL pipelines)
  • Prior experience with modern data technologies stack such as Databricks, Airflow, etc.
  • Phenomenal data visualization and analysis skills with expertise in tools such as Looker, Tableau, Power BI, Seaborne, etc.

About Us:

We're a team of innovators and experts from industry (Uber, Apple, Amazon, Google) and academia (Stanford) working together to create a revolutionary analytics platform. We're funded by NEA and have a strong team with a passion for transforming manufacturing operations.

Join us in our mission to supercharge manufacturing operations with the power of spatial activity data and AI.

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