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Data Scientist

Company: Cubic Corporation
Location: Austin
Posted on: January 16, 2020

Job Description:

BUSINESS UNIT:

Cubic Mission Solutions

COMPANY DETAILS:

At Cubic we re changing the way people travel to work, to school, to wherever they want or need to go, and home again. Come join our team of data experts as we build innovative technologies and leverage the latest data science techniques to tackle transportation s most pressing challenges. As a global company our work impacts the lives of millions of people around the world in cities like London, New York, Sydney, and many more. Cubic is the analytics center of excellence and we are using data to optimize transit networks, reduce road congestion, improve the travel experience, and minimize each city s carbon footprint.

You will collaborate with a diverse group of talented professionals who are as passionate about their work as you are, and are committed to delivering only the highest quality solutions. We are an agile team and this means you re empowered to deliver the best results, have the opportunity to influence all aspects of the business, and know that each contribution you make is significant. In an industry where Cubic is a world leader, we re driving a paradigm shift in how transportation services are planned, delivered, and consumed to better meet the needs of an increasing and ever-more concentrated urban population. Don t take a backseat. Join Cubic and be instrumental in driving the future of travel.

JOB DETAILS:

JOB SUMMARY: As a Data Scientist for NextApp, you will have the business and technical ability to roll up your sleeves for a major consumer transit mobile app. The NextApp team will build on Cubic s market leadership in Public Transit and Fare Collection platforms which power over 70% public transit rides in North America, with over 50M daily public transit transactions.



Cubic is all about teamwork. Our team members work together in small groups to build market-leading products that are used by millions. Our team members are self-sufficient, customer-focused problem solvers. We are looking for people who are passionate about innovating to make a difference in people s daily lives. The NextApp team is just getting started As the Data Scientist for the NextApp Product, you will be part of shaping Cubic s game-changing NextCity 2.0 strategy, with a goal to reduce congestion, enable city vitality, and improve the daily lives for millions of people.



ESSENTIAL JOB DUTIES AND RESPONSIBILITIES:

* Works with the data science team and stakeholders to address business challenges by harnessing structured, semi-structured, and unstructured data in a distributed processing environment.

*

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse data sources to generate actionable insights and solutions for client services and product enhancement.
*

Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
*

Prepares and delivers presentations that effectively describe complex quantitative methods in clear and concise communications.
*

Keeps up to date with technical as well as industry developments, analytics software/tools, trends, and recognized best practices.
*

Contributes to projects under the direction of project and product owners to adhere to funding, resourcing, schedule, and other constraints.



MINIMUM JOB REQUIREMENTS:
Four-year college degree, in statistics, economics, physics, mathematics, operations research, computer science, data engineering, or related field; plus two years of related experience using data mining, data modeling, data integration, machine learning, statistical modeling, and other data science skills and techniques. Masters or Ph.D. preferred. Experience with Python or comparable scripting language. Experience working with Hadoop, Pig, Hive, and knowledge of SQL is essential. Experience with statistical and analytic programming design and technologies such as R and other simulation / data analysis tools. Knowledge of database management systems and other software tools used to manage an organization s business activities. Requires fundamental knowledge and experience developing algorithms and analytics applications. Must have strong analytical and problem solving skills, attention to details, critical thinking ability, and creativity. Must be able to abstract from ambiguous and sometimes conflicting information to identify opportunities for improvement and the critical business drivers and factors that influence outcomes. Must have demonstrated ability to produce high quality analytics applications that can be deployed in a repeatable and scalable fashion. Requires strong knowledge of statistics, signal processing, machine learning, predictive analytics, and other related techniques. Must have excellent written and verbal communication skills used to effectively communicate and present complex information in terms appropriate to the audience. Incumbent will have well-developed research skills and knowledge of current data management principles, procedures, and other tools of the trade. Must be able to manage and prioritize multiple projects simultaneously while balancing according to scope, budget and schedule. Prior experience working in the transportation or logistics industries desired.



The description provided above is not intended to be an exhaustive list of all job duties, responsibilities and requirements. Duties, responsibilities and requirements may change over time and according to business need.

Cubic is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, We are committed to ensuring a workplace free of discrimination based on race, color, religion, age, disability, genetic information, sex, sexual orientation, gender identity, or national origin, military or veteran status, and any other basis protected by applicable law

Keywords: Cubic Corporation, Austin , Data Scientist, Other , Austin, Texas

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