Engineering & Design Software - 2D & 3D CAD, Support, Training, Consulting, 3D Printing51-200 Employees
- B2B
- Growth StageExpanding market presence
- Website
- Location
- Germantown
- Company size
- 51-200 people
- Markets
GSC Technologies careers
Our Vision:
Data is Eating the World. We are a high-end engineering company that helps its clients win by harnessing data.
We are:
A data science and cloud infrastructure consulting startup. We are born during the pandemic and our team is 100% remote, and we meet as often as possible.
What we offer:
We provide Software Development, Data Analytics, and Data Engineering services to enterprise. More specifically, we :
1. Use Machine Learning to forecast business metrics such as price & demand for goods or services. We specialize in verticals such as Retail, Fashion, Consumer Packaged Goods and FMCG to differentiate and sharpen our value proposition. We will expand to more verticals in future as we grow.
2. We develop Data Infrastructure for our clients when it is required. Here we use modern technology stacks (Snowflake, Databricks, DataRobot, Segment, Kafka, Fivetran, RabbitMQ) to speed up results and further differentiate our services.
3. We develop Customized Software, either as standalone or integrating above data processes. This will make us go-to supplier for enterprise digitization.
Our Goals :
- Become world’s top Analytics and AI/ML services provider for Enterprise
- Develop an AI Software Product which will leverage the knowledge & data we gain from our consulting services.
Why join us ?
* We are a ambitious and open-minded startup. You make the rules as long as it serves our goals.
* Work from wherever you like. Explore the world while advancing your career. We even do work trips (eg Thailand or Brazil) together as a company!
* We take only the best. We don't cut corners in engineering and constantly strive to learn. We want people who are curious and hungry.
* Know a better way to achieve the same goal ? Prove your boss and all else wrong. We encourage dissent and have a horizontal work culture. If this is too libertarian, you might be better off elsewhere.
* Have a stake in the startup. Every long term employee gets stock options.
Data is Eating the World. We are a high-end engineering company that helps its clients win by harnessing data.
We are:
A data science and cloud infrastructure consulting startup. We are born during the pandemic and our team is 100% remote, and we meet as often as possible.
What we offer:
We provide Software Development, Data Analytics, and Data Engineering services to enterprise. More specifically, we :
1. Use Machine Learning to forecast business metrics such as price & demand for goods or services. We specialize in verticals such as Retail, Fashion, Consumer Packaged Goods and FMCG to differentiate and sharpen our value proposition. We will expand to more verticals in future as we grow.
2. We develop Data Infrastructure for our clients when it is required. Here we use modern technology stacks (Snowflake, Databricks, DataRobot, Segment, Kafka, Fivetran, RabbitMQ) to speed up results and further differentiate our services.
3. We develop Customized Software, either as standalone or integrating above data processes. This will make us go-to supplier for enterprise digitization.
Our Goals :
- Become world’s top Analytics and AI/ML services provider for Enterprise
- Develop an AI Software Product which will leverage the knowledge & data we gain from our consulting services.
Why join us ?
* We are a ambitious and open-minded startup. You make the rules as long as it serves our goals.
* Work from wherever you like. Explore the world while advancing your career. We even do work trips (eg Thailand or Brazil) together as a company!
* We take only the best. We don't cut corners in engineering and constantly strive to learn. We want people who are curious and hungry.
* Know a better way to achieve the same goal ? Prove your boss and all else wrong. We encourage dissent and have a horizontal work culture. If this is too libertarian, you might be better off elsewhere.
* Have a stake in the startup. Every long term employee gets stock options.
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