18 days old

Data Science & Analytics Expert - Digital Upskilling - Sr. Associate

PwC
San Jose, CA 95110

A career in our Digital and Applications Design practice, within Application and Emerging Technology services, will provide you with a unique opportunity to help our clients identify and prioritise emerging technologies that can help solve their business problems. We help our clients design approaches to integrate new technologies, skills, and processes so they can get the most out of their technology investment and drive business results and innovation.Our team helps organisations align their business and operational requirements through the careful design of digital platforms and applications. Youll help our clients with application optimisation, strategic integration of custom packaged solutions like Enterprise Resource Planning and Customer Relationship Management, and roadmap development.


To really stand out and make us ?t 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, youll 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 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 firms code of ethics and business conduct.


Additional Responsibilities:

PwCs commercial digital upskilling product is a platform which enables a capability based learning experience that transforms companies and individuals to be digitally enabled.Our commercial digital upskilling product is built with the spirit of continuous innovation, providing excellence and value to all users.

Job Requirements and Preferences:

Basic Qualifications:

Minimum Degree Required:
Bachelor Degree

Minimum Years of Experience:
2 year(s)

Preferred Qualifications:

Preferred Fields of Study:
Statistics, Mathematics, Computer and Information Science

Preferred Knowledge/Skills:

Demonstrates thorough-level, abilities success with managing the identification and address of client needs including:

  • Working with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions;
  • Mining and analyzing data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies;
  • Assessing the effectiveness and accuracy of new data sources and data gathering techniques;
  • Developing custom data models and algorithms to apply to data sets;
  • Using predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes;
  • Developing company A/B testing framework and test model quality;
  • Coordinating with different functional teams to implement models and monitor outcomes;
  • Developing processes and tools to monitor and analyze model performance and data accuracy;
  • Using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets;
  • Working with and creating data architectures;
  • Understanding and utilizing a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks;
  • Understanding advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications;
  • Manipulating data sets and building statistical models;
  • Understanding and executing statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.;
  • Querying databases and using statistical computer languages: R, Python, SQL, etc.;
  • Using web services: Redshift, S3, Spark, DigitalOcean, etc.;
  • Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.;
  • Analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.;
  • Understanding of distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.; and,
  • Visualizing and presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

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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Posted: 2019-10-31 Expires: 2019-12-01

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Data Science & Analytics Expert - Digital Upskilling - Sr. Associate

PwC
San Jose, CA 95110

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