Data Scientist

Date: 11-Aug-2019

Location: Melbbourne, FL, United States

Company: Alstom

Req ID:49890 

 

We create smart innovations to meet the mobility challenges of now and the future. We design and manufacture a complete range of transportation systems, from high-speed trains to electric buses, autonomous subways, signalling and digital mobility solutions. Joining us means joining a truly global community of 36 300 people dedicated to solving real-world mobility challenges and achieving international projects with sustainable local impact.

Role Summary / Purpose

Alstom an opening for experienced Data Scientists at our Melbourne, FL site. This position support Product Design Engineer(s) by researching and developing machine learning (ML) enabled data analytics algorithms.

 

Essential Responsibilities

  • Develop strategies to extract, resolve, and unify information of various types from numerous disparate data sources
  • Build scalable, stable, and efficient applications to collect, organize, manipulate, analyze and present information from large structured and unstructured datasets
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Design, code, validate, automate, and scale software in a collaborative environment
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Attends meetings, submits work progress reports, and performs related duties as required

 

Qualifications / Requirements

  • B.S. degree in computer science or related discipline. M.S. degree strongly preferred.
  • Three or more (3+) years of experience in two (2) or more of the following: system/software architecture and development, virtual machine technology, distributed processing, data analytics, machine learning, and/or natural language processing.
  • Ability to contribute to machine learning research and design and develop advanced algorithms
  • Passion for developing efficient, testable, scalable, and well-documented code
  • Excellent analytical, problem solving and organizational skills. Ability to work successfully in small team environments, and communicate effectively
  • Ability to pay close attention to detail, meet deadlines, balance multiple tasks, work under pressure, and work with frequent interruptions.

 

Desired Characteristics

  • Experience in time series and/or text-based data analyis.
  • Experience in architecting highly-distributed systems, computer applications, software engineering and networking.
  • Experience developing data analytics applications, and applications for intermittently connected, low bandwidth, and low power environments; sensor integration and fusion.

We believe that a diverse and inclusive workforce is a lever to running a sustainable and successful business. We are dedicated to creating an inclusive environment where all our employees are encouraged to reach their full potential, and individual differences are valued and respected.

 

 


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