Senior Applied Scientist

Key Skills

Apache Hadoop, C++, Java Programming, Machine learning techniques, NumPy, Python Programming, R Programming, SciPy, SPARK Programming, TensorFlow

Job Description

We are seeking an Applied Scientist to join our transportation planning and optimization team.

As an Applied Scientist, you’ll be accountable for designing, modeling, developing and implementing state-of-the-art models and solutions used by Amazon transportation worldwide. You will collaborate with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. As part of your role, you will regularly interact with software engineering teams and business leadership. The focus of this role is to research, develop, and deploy models that will inform and support our business, primarily in the areas of freight transportation and vehicle routing. You will have the opportunity to work with some of the leading scientists in the areas of optimization algorithms, meta-heuristics, market analysis, and integer programming.

This position requires that the candidate selected be a US Citizen.

Key job responsibilities

The role’s key responsibilities will include

• Develop accurate and scalable optimization, mathematical programming, and heuristic methods to solve our hardest transportation problems.
• Lead and partner with the engineering and operations teams to drive modeling and technical design for complex business problems in transportation.
• Lead complex modeling analyses to aid management in making key business decisions and set new policies.

BASIC QUALIFICATIONS

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Knowledge of programming languages such as C/C++, Python, Java or Perl
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.