12 days old

Data Scientist | Machine Learning Engineer

Portland, OR 97205
  • Job Code
  • Payrate
    $50 To $65
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We are seeking skilled software engineers to deploy machine learning and related technologies to address complex and pressing problems in the financial services industry.

Examples of such problems include the detection and interdiction of fraudulent activities such as theft and money laundering, the automation of credit decision-making, and the analysis and enhancement of customer transactions to enhance the customer's experience with the bank. To do this work well, we expect you to exhibit competence in the following disciplines:

- Linear algebra - this is the foundation of machine learning and other algorithms, and we expect you to be fluent in the use of linear algebra.

- Graph theory - graphical algorithms are used extensively in machine learning, and we expect you to understand how to use graphs to represent problems and also the principal techniques of graph analysis to solve such problems.

- Probability theory - this is the foundation of Bayesian methods in machine learning, and we expect you to be fluent in this material.

- Statistical learning - we expect you to understand linear methods for regression and classification, support vector machines, nearest neighbor algorithms, neural networks, and unsupervised learning methods.

- Signal processing - a great deal of the work associated with preparing data for use by machine learning algorithms involves considerable pre-processing. Therefore, we expect an understanding of signal processing techniques such as filtering, principal/independent components analysis and related techniques.

- Programming languages - ultimately, any solution must be implemented in a programming language, and we expect fluency in at least one of C++, Java or Python. This means not only the syntax and structure of the language of your choice, but also an understanding of the libraries and tools that accompany the basic language specification (e.g. STL and Boost for C++). Finally, this includes the "idioms" of software development - you should be aware of the meaning and usage of common design patterns.

- Software engineering - algorithms and data structures are the heart and soul of software engineering, and in addition to having studied these concepts in an academic setting, we expect you to be fluent in their use in the daily work of software development.

Additionally, you must be conversant with related concepts such as designing for re-use, efficient debugging and the use and role of version control in software development.

Our client is a large organization operating in an industry regulated by the government, and this implies certain requirements and expectations.

You should:

- Be motivated to deliver results and disciplined about following up on your commitments.

- Understand how to work well as part of multi-disciplinary and geographically distributed teams.

- Be able to communicate well with people who have technical or business backgrounds.

- Be tolerant of the procedures and rules of working in large organizations.

-Work well with fuzzy or incomplete specifications that are subject to revision and change.

- Be comfortable working by yourself or as part of a large team, because eventually, you will end up doing either or both.

- Be scrupulous about complying with processes and procedures which are mandated by regulations.


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Data Scientist | Machine Learning Engineer

Randstad Technologies
Portland, OR 97205

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Randstad Technologies
Portland, or

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Data Scientist
7th2018 - Data Scientist
Overall Rating: 7/220
Median Salary: $111,840

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