We're always looking for amazing team members

Is that you?

At Austin Data Labs, we put our employees first.

Since our President and CTO Sushil Verma started the business in 2014, we’ve had a remote-first business model. We understand that great employees do their best work no matter where in the world their office is located.

We’re also a global company, serving clients located around the world. If your local culture thrives with access to an office or conference room, we make sure you have access to those amenities (for example: our Brazil team keeps office space in beautiful São Paulo.)

Currently we have offices and outposts in

United States

Brazil

New Zealand

Europe

Some of our Benefits and Perks

Depending on the employment laws in your location, we offer benefits such as a yearly stipend for your preferred computer so you can do your best work, access to health benefits, a 401K plan with employer match, a reimbursement allowance for work-related bills like your cell phone and internet, and more.

If you have data science knowledge and real-world industry experience in any of the industries below, we absolutely want to hear from you!

Dairy/Meat/Grain

 

Chemicals

 

Food and Bev

 

FMCG

 

Open Positions

Data Scientist

We are looking for a Data Scientist who will support our customers and their fellow team mates with the kind of deep, meaningful insights that keep the global supply chain optimized, worry-free, and running smoothly. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams in the industries at the heart of the global food and agriculture supply chain.

QUALIFICATIONS

  • Real-world experience in one of our four industries is required: commodity agriculture (dairy, meat, wine, grain, produce), specialty chemical, food and beverage, and/or FMCG.
  • Experience working with and creating data architectures.
  • Experience using statistical computer languages (R, Python, SLQ. etc).
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models
  • Experience using web services like AWS and ERP systems like SAP.
Pre-Sales Intern

We are always looking for Interns to reinforce our Pre-Sales team. If you are able to communicate verbally, are enthusiastic about building relationships and are enchanted by the environment of startups and technology, contact us.

QUALIFICATIONS
• Strong verbal, written and interpersonal communication skills.
• Ability to relate technical concepts to SAAS applications and users’ needs.
• Ability to work and learn independently and as part of a team.
• Demonstrate good judgment in selecting methods and techniques to obtain Leads.
• Preferential Training Area in Engineering, Statistics, Computer Science or Marketing
• Fluent English required, fluent Spanish or Portuguese appreciated

Let us know which job you want to apply for here. We also have a drop down for future opportunities, so feel free to just shoot over your resume for us to keep on file as positions open up!
Click or drag a file to this area to upload.