Data Scientist – Logistics Optimization Algorithms
Location: Denver, CO – Relocation Offered. Remote work is not possible for this role.
As a Data Scientist at ShaleApps, you will have a sense of ambition and passion to change the world by shipping production solutions using AI, Data Modeling, and Deep Learning where applicable. You will get to work directly with our data science driven CEO, and a very strong team of data scientists and software engineers in defining the frontier of logistics optimization.
What kind of person thrives at ShaleApps?
Every member of the ShaleApps team is focused on the success of the product first and foremost. This position is highly entrepreneurial in nature, hence it requires candidates who can develop a full picture of the business problem and write production code to develop a solution accordingly. Those expecting to work on isolated research problems, or who expect others to productize their work need not apply.
We highly encourage you to apply if you resonate with the mission and values we articulate here. People who thrive at ShaleApps often say this is the hardest they have ever worked and that they achieved levels of personal and professional growth here they didn’t previously imagine possible.
We have multiple openings available. Here are some examples of projects we currently need help with:
Develop novel mechanisms by which to optimize payload delivery
Implement and ship models to predict the demand for commodities at nodes in a logistics network
Implement and ship models to predict the availability of supply of transporters, drivers, and commodities
Implement and ship models to predict road congestion, traffic, and wait times based on historical data and future demand predictions
Here are some qualifications we look for:
3+ years experience developing machine learning models from inception to business impact. Leadership opportunities also available.
Experience building and using cloud solutions
Great written and verbal communication skills when working with local and remote cross functional team members
Fluency in Go
Experience with Python, R, or other programming languages
Deep understanding of machine learning techniques such as optimization, deep learning, reinforcement learning, recurrent neural networks (RNN) and dynamic bayesian networks (DBN)
Experience working with RESTful APIs
Experience working with discrete event simulation techniques is a plus
Advanced degree in a quantitative field is a plus
Experience productionizing machine learning models is a plus
At ShaleApps we are committed to developing our employees and providing them exciting opportunities to grow and prosper in their professional careers. We encourage you to visit our careers page to read about our DNA and culture.
We offer a competitive benefits package as well as numerous additional perks including:
Competitive Salary with Cash Bonus or Equity Plan
Health, Dental and Vision Insurance
401k with matching
Modern office space in downtown Denver with bike storage, fitness center with yoga studio, free weights, treadmills, & other equipment
RTD pass, Uber credit, or parking pass
Daily breakfast provided, in addition to fresh fruit, coffee, tea & snacks throughout the day
Weekly happy hour
Hardware of your choosing
ShaleApps is an Equal Opportunity Employer.
Disclaimer: This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned.