Rapid Prototyping - Data Science - Manager

Pwc Milwaukee , WI 53201

Posted 4 weeks 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
Program Manager Data Science And Analytics

Northwestern Mutual

Posted 2 weeks ago

VIEW JOBS 8/31/2019 12:00:00 AM 2019-11-29T00:00 At Northwestern Mutual, we are strong, innovative and growing. We invest in our people. We care and make a positive difference. This program manager position is for our Data Science and Analytics department. This role will be supporting data science and analytics related requests coming to DSA from Client Experience and Field Experience driven requests. The ideal candidate will have experience in both scrum and kanban methodologies, and experience with JIRA is required. Bring Your Best! What this role needs: * Bachelor's degree in Business Administration, Computer Science, related field, or an equivalent combination of education and work experience * 3+ years of experience supporting program / project teams that deliver a digital product experience * Experience in agile methodologies * Action-oriented and makes data driven decisions * Excellent communicator * Exhibits servant leadership * Action oriented with a sense of urgency * Effective working with ambiguity Grow your career with a best-in-class company that puts our client's interests at the center of all we do. Get started now! We are an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or status as a protected veteran, or any other characteristic protected by law. Req ID: 25968 Position Type: Regular Full Time Education Experience: Bachelor's Required Employment Experience: 3-5 years Licenses/Certifications: FLSA Status: Exempt Posting Date: 08/30/2019 Northwestern Mutual Milwaukee WI

Rapid Prototyping - Data Science - Manager

Pwc