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Company

PwC · 2 weeks ago

Data Scientist, Sr. Manager - PwC Intelligence

California, United States

Contract

Remote

Mid, Senior Level, Lead/Staff

$89K/yr - $315K/yr

6+ years exp

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Responsibilities

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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Statistical knowledgeTime-series forecastingMachine learningSoftware engineering practicesComplex data analysisAPI integrationsAdvanced SQLSQL ServerData transformation toolsFinancial data providersData science pipelinesETL processes

Required

Bachelor's Degree

6 year(s) of experience

Owning thorough statistical knowledge with preference given to experience with time-series forecasting and machine learning

Having a thorough knowledge of software engineering industry-leading practices, including version control, Github, testing, and validation

Performing complex data analysis using tools such as Python (pandas, Anaconda python distribution)

Demonstrating experience with API or rest service integrations, advanced SQL (common table expressions, use of temp tables, indexing), and other technical methods to extract and combine data from various sources

Displaying experience with SQL Server, as well as data transformation tools such as SSIS, Informatica, and DBT

Exhibiting experience working with financial data providers such as S&P Global, Refinitiv, Dealogic, or Audit Analytics

Being responsible for the creation and maintenance of data science pipelines with a focus on time series forecasting and model evaluation

Conducting quantitative and qualitative analyses of large and complex datasets

Building and managing ETL processes to transform data and schedule jobs

Working on multiple projects simultaneously

Revealing a conviction to high standards for data quality with a client-service focus

Taking ownership of developing relationships across the organization and serving as a data subject matter specialist (SMS)

Laboring independently and with a team and able to efficiently communicate in written and verbal formats to both technical and non-technical audiences

Establishing relationships and work well across functions

Building, maintaining, and troubleshooting development and production environments

Cooperating with other areas of the firm to source data as needed

Possessing facilitation skills and the ability to coach/teach others

Demonstrating written and verbal communication skills, including problem/conflict resolution skills

Having direct engagement with functional leaders/staff and LOS leaders/staff