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PwC PwC Digital Upskilling-Data Scientist-Senior Manager in San Jose, California

Specialty/Competency: Advisory – Other

Industry/Sector: Not Applicable

Time Type: Full time

Travel Requirements: Up to 20%

PwC Labs is focused on standardizing, automating, delivering tools and processes and exploring emerging technologies that drive efficiency and enable our people to reimagine the possible. Process improvement, transformation, effective use of innovative technology and data & analytics, and leveraging alternative delivery solutions are key areas of focus to drive additional value for our firm.

The AI Lab focuses on implementing solutions that impact efficiency and effectiveness of our technology functions. Process improvement, transformation, effective use of technology and data & analytics, and leveraging alternative delivery are key areas to drive value and continue to be recognized as the leading professional services firm. AI Lab is focused on identifying and prioritizing emerging technologies to get the most out of our investments.

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 a purpose-led and values-driven leader at every level. 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 Manager, 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:

  • Encourage everyone to have a voice and invite opinion from all, including quieter members of the team.

  • Deal effectively with ambiguous and unstructured problems and situations.

  • Initiate open and candid coaching conversations at all levels.

  • Move easily between big picture thinking and managing relevant detail.

  • Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required.

  • Contribute technical knowledge in area of specialism.

  • Contribute to an environment where people and technology thrive together to accomplish more than they could apart.

  • Navigate the complexities of cross-border and/or diverse teams and engagements.

  • Initiate and lead open conversations with teams, clients and stakeholders to build trust.

  • Uphold the firm's code of ethics and business conduct.

Job Requirements and Preferences :

Basic Qualifications :

Minimum Degree Required :

Bachelor Degree

Minimum Years of Experience :

8 year(s)

Preferred Qualifications :

Degree Preferred :

Master Degree

Preferred Fields of Study :

Artificial Intelligence and Robotics, Computer Engineering, Computer Programming, Mathematical Statistics, Mathematics

Preferred Knowledge/Skills :

Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas:

  • Understanding statistical or numerical methods application, data mining or data-driven problem solving;

  • Demonstrating thought leader level abilities in the use of statistical modelling, algorithms, data mining and machine learning algorithms;

  • Understanding business development such as client relationship management and leading and contributing to client proposals;

  • Demonstrating proven delivery within a number of large scale projects;

  • Demonstrating ownership of architecture solutions and managing change;

  • Communicating project findings orally and visually, to both technical and executive audiences;

  • Developing people through effectively supervising, coaching, and mentoring staff;

  • Leading, training, and working with other data scientists in designing effective analytical approaches taking into consideration performance and scalability to large datasets; and,

  • Manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.

Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas:

  • Demonstrating thought leader-level abilities in commonly used data science packages including Spark, Pandas, SciPy, and Numpy;

  • Leveraging familiarity with deep learning architectures used for text analysis, computer vision and signal processing;

  • Developing end to end deep learning solutions for structured and unstructured data problems;

  • Developing and deploying A.I. solutions as part of a larger automation pipeline;

  • Utilizing programming skills and knowledge on how to write models which can be directly used in production as part of a large scale system;

  • Understanding of not only how to develop data science analytic models but how to operationalize these models so they can run in an automated context;

  • Using Data visualization software such as tableau and qlikview in addition to web visualization libraries;

  • Demonstrating proven ability with NLP and text based extraction techniques; and,

  • Using common cloud computing platforms including AWS and GCP in addition to their respective utilities for managing and manipulating large data sources, model, development, and deployment.

For positions in Colorado, visit the following link for information related to Colorado's Equal Pay for Equal Work Act: https://pwc.to/coloradoadvisoryseniormanager .

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.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

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Please note that, at this time, to be in-person at a PwC office, client location or PwC-sponsored events, you must be fully vaccinated against COVID-19.

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