Rapid Prototyping - Data Science - Manager

Pwc Richmond , VA 23234

Posted 3 months ago

A career in our Data Science practice, within Innovation services, will provide you with the opportunity to help our clients' tax departments redesign, redefine, and redeploy tax to be a strategic asset across the enterprise. You'll focus on assisting clients incorporate increased automation in the tax reporting process, increase analytic capabilities through data integration, and create solid internal controls that will enable the Tax function to deliver better quality output and contribute more strategically to organisational decision making. Our team focuses on developing cutting edge data analytic and automation applications that provide data and visualisation support for large and small complex data sources.

Responsibilities

As a Manager, you'll work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to:

  • Proactively assist in the management of a portfolio of clients, while reporting to Senior Managers and above

  • Be involved in the financial management of clients

  • Be actively involved in business development activities to help identify and research opportunities on new/existing clients

  • Contribute to the development of your own and team's technical acumen

  • Develop strategies to solve complex technical challenges

  • Assist in the management and delivering of large projects

  • Train, coach, and supervise staff

  • Keep up to date with local and national business and economic issues

  • Continue to develop internal relationships and your PwC brand

Job Requirements and Preferences:

Basic Qualifications:

Minimum Degree Required:

Bachelor Degree

Minimum Years of Experience:
5 year(s) of experience in data analytics, development and programming.

Preferred Qualifications:

Preferred Knowledge/Skills:

Demonstrates extensive knowledge and/or a proven record of success in applied subject matter such as IT, finance, accounting, energy or health care role emphasizing data analytics for a global network of professional services firms, including the following areas:

  • Understanding of NoSQL (Graph, Document, Columar) database models, XML, relational and other database models and associated SQL;
  • Understanding of ETL tools and techniques, such as tools like Talent, Mapforce, how to map transformation and flow of data from a source to a target system;
  • Performing in development language environments e.g. Python, Java or equivalent and applying analytical methods to large and complex datasets leveraging one of those languages;
  • Automating complex processes; and,
  • Proven ability in data analytics management.

Demonstrates extensive abilities and/or a proven record of success in the application of statistical or numerical methods, data mining or data-driven problem solving, including the following areas:

  • Utilizing and applying into projects knowledge of Python based data science tools such as Pandas and Numpy;

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

  • Utilizing and applying into projects knowledge of data wrangling techniques and scripting languages with proven ability in working on a cloud based infrastructure environment;

  • 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;

  • Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests;

  • Utilizing and applying into projects knowledge of technologies such as H20.ai, Google Machine Learning and Deep learning;

  • Proven ability with NLP and text based extraction techniques;

  • Working independently with minimal guidance;

  • Leveraging problem solving and troubleshooting skills with proven ability exercising mature judgment;

  • Prioritizing effectively workload to meet deadlines and work objectives;

  • Writing clearly and succinctly in a manner that appeals to a wide audience;

  • Communicating complex engineering concepts succinctly to senior non-technical and technical decision makers;

  • Performing development, data analytics and programming/scripting, especially Python, Java, Scala, C++, R, SQL, etc.;

  • Applying techniques such as multivariate regressions, Bayesian probabilities, clustering algorithms, machine learning, dynamic programming, stochastic-processes, queuing theory, algorithmic knowledge to efficiently research and solve complex development problems and application of engineering methods to define, predict and evaluate the results obtained;

  • Visualizing and communicating analytical results, ideally using open source visualization technologies such as HTML, JavaScript, and related packages such as D3;

  • Using large data sets, along with analytical scripting tools and visualization platforms to produce actionable insights for clients; data cleansing, transformation, and modeling in order to produce a clear story that is easily comprehended by non-technical audiences;

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

  • Performing unit and system testing to validate the output of the analytic procedures against expected results.

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.

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.


icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon
lc_ad

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Data Science Program Manager

State Of Virginia

Posted 3 weeks ago

VIEW JOBS 9/25/2019 12:00:00 AM 2019-12-24T00:00 VDOT is establishing a 'hub and spoke' model for its newly-developed data science program with the Office of Strategic Innovation (OSI). This office will be the hub with various VDOT divisions working around the spokes. The OSI data science team will bring consistency in the application of tools and techniques throughout the department and guide others in the proper selection of coding languages, application tools, build/buy analysis etc. This includes providing expertise in AI/ML, statistical analysis, regression analysis and other advanced mathematical modeling and algorithm development. The program manager will work with the industry and academic institutions to bring best practices and latest tools, techniques and procedures to VDOT and train others in using them. The program manager will also plan, develop and deliver data science projects and algorithms to improve safety, mobility on the road as well as bring efficiencies to the department through data-driven insights in decision-making. VDOT employees serve the citizens of the Commonwealth and travelling public daily through our mission to plan, deliver, operate and maintain a transportation system that is safe, moves people and goods, enhances the economy, and improves quality of life. VDOT is the third largest state maintained highway system in the country, maintaining over 58,000 miles of roads, bridges, and tunnels, and employing over 7700 people through a diverse workforce. Our culture includes teamwork, transparency, nimble learning, creativity and collaboration that values differences. In addition to a rewarding work experience, VDOT offers excellent health and life insurance benefits, pre-tax spending accounts, state funded Short and Long Term Disability, paid holidays, vacation, tuition assistance, free wellness programs, and a state retirement plan with options for tax-deferred retirement savings including employer matching. We are a "Virginia Values Veterans" (V3) official certified company and state agency that provides hiring preference to Veterans and Members of the Virginia National Guard in support of Executive Order 29, (2010). If you are a Veteran or Virginia National Guard Member, we urge you to respond accordingly on your state application. We have Shared Values and a Code of Ethics. Your success in our organization depends upon modelling these values, therefore visit http://www.virginiadot.org/about/missionandvalues.asp to review them and, if in agreement, we welcome you to apply. Minimum Qualifications Demonstrated progressively responsible experience in a senior position, working in multiple programmatic areas. Knowledge of databases, data engineering and data visualization. Experience with working with data from large data sets and developing insights. Demonstrated proficiency with tools such as R, Python, SAS, SPSS, Minitab, Java, SQL. Experience with distributed data/computing tools: MapReduce, Hadoop, Hive, Kafka, also MySQL, and so on. Experience working across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service, and others. Ability to work with all levels of Agency staff, including regular interaction with Agency executives and senior leadership. Proven ability to translate and communicate complex and sensitive information to various audiences in a clear and compelling manner, both through oral and written communications and presentation materials. Demonstrated competencies in team dynamics and obtaining desired results; effectively dealing with conflict; staying focused on the mission; setting and achieving critical priorities in a strategic and time sensitive manner; demonstrating initiative; and keeping focus on customer and performance expectations and measures. Bachelor's Degree in Statistics, Data Science, Systems Engineering or related field or equivalent combination of education, training, and experience. Preferred Qualifications Extensive experience with agile methodologies and skills in applying DevOps/MLOps methods to the construction of ML and data science pipelines. Advanced degree from an accredited college or university with a concentration in data science, statistics, systems engineering, information technology or similar field. Special Requirements This position requires a fingerprint based criminal history background check. State Of Virginia Richmond VA

Rapid Prototyping - Data Science - Manager

Pwc