27 days old

Data Scientist

PwC
Arlington, VA 22209
  • Jobs Rated
    7th

A career in our Data & Analytics practice, within New Business Ventures, will provide you with the opportunity to invest in new business models that leverage our knowledge and build solutions for the growing digital market. New Business Ventures identifies, develops, and commercialises technology-enabled solutions that deliver PwC value, knowledge, and experience to our clients. Each new solution focuses on data-driven platforms or other intellectual property based solutions that leverage emerging technologies and new business models. Through the process of building new solutions, we foster a culture of innovation within PwC, extend brand relevance in the market, and generate new revenue. Our team focuses on the process of collecting, cleansing, transforming and modeling data for the purposes of drawing critical insights and conclusions that support decision making.


To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be an authentic and inclusive leader, at all grades/levels and in all lines of service. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

  • Use feedback and reflection to develop self awareness, personal strengths and address development areas.
  • Delegate to others to provide stretch opportunities and coach to help deliver results.
  • Develop new ideas and propose innovative solutions to problems.
  • Use a broad range of tools and techniques to extract insights from from current trends in business area.
  • Review your work and that of others for quality, accuracy and relevance.
  • Share relevant thought leadership.
  • Use straightforward communication, in a structured way, when influencing others.
  • Able to read situations and modify behavior to build quality, diverse relationships.
  • Uphold the firm's code of ethics and business conduct.

Job Requirements and Preferences:

Basic Qualifications:

Minimum Degree Required:
Bachelor Degree

Required Fields of Study:
Engineering, Statistics, Mathematics, Mathematical Statistics, Computer and Information Science

Additional Educational Requirements:
Other technical or mathematical focused fields of study may be considered.

Minimum Years of Experience:
3 year(s)

Preferred Qualifications:

Degree Preferred:
Master Degree

Preferred Fields of Study:
Mathematics, Computer and Information Science, Engineering, Data Processing/Analytics/Science

Preferred Knowledge/Skills:
Demonstrates considerable knowledge of, and proven success in roles involving, executing various aspects of client engagements and/or projects within a professional services environment, including knowledge in at least two of the following areas:
- Computer programing with any of the following focus: statistical/mathematical languages - e.g., R, SAS, MATLAB, general purpose languages - e.g., Python, Java, Go, Perl, other special purpose languages - e.g., SQL, bash scripting;
- Machine learning/predictive modeling, natural language processing, statistical analysis, simulation modeling, graph analysis;
- Large scale data processing tools - e.g., Hadoop environment, Apache Spark, elastic cloud compute;
- Data analysis workflow using tools - e.g., git, iPython notebook; and,
- Data visualization tools - e.g., D3.JS, Gephi.

Demonstrates considerable ability within a professional services environment, to accomplish the following areas:
- Interpret problems, synthesize analysis, and present information in a way that is understandable to a non-technical person;
- Work collaboratively on teams with a variety of technical and non-technical skill sets;
- Compile and present complex information using data visualization tools;
- Collaborate and contribute as a team member: understand personal and team roles, contribute to a positive working environment by building solid relationships with team members, proactively seeking guidance, clarification and feedback;
- Identify and address client needs, build relationships with clients, develop requests for information, demonstrate flexibility in prioritizing and completing tasks, communicate potential conflicts to a supervisor;
- Prioritize and handle multiple tasks, research and analyze pertinent client, industry and technical matters, utilize problem-solving skills, and communicate effectively in written and verbal formats to various audiences - including various levels of management and external clients - in a professional business environment;
- Coach and collaborate with associates who assist with this work, including providing coaching, feedback and guidance on work performance; - Understand how the application of analytical techniques correlated to business value; and,
- Be able to select the appropriate analytical techniques for the problem at hand.


All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

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Jobs Rated Reports for Data Scientist

Posted: 2020-01-22 Expires: 2020-02-22

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Data Scientist

PwC
Arlington, VA 22209

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

Work Environment
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Stress
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Growth
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