Rapid Prototyping - Data Science - Senior Associate

Pwc Cleveland , OH 44114

Posted 2 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 Senior Associate, 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 several clients, while reporting to Managers and above

  • Train and lead staff

  • Establish effective working relationships directly with clients

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

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

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

  • Continue to develop internal relationships and your PwC brand

Basic Qualifications:

Minimum Degree Required:

Bachelor Degree

Minimum Years of Experience:
2 year(s)

Preferred Qualifications:

Preferred Knowledge/Skills:

Demonstrates thorough knowledge and/or a proven record of success in data analytics and applied subject matter such as finance, accounting, energy, or health care; including the following areas:

  • Participating in planning with other data scientists on the most effective analytical approach based upon requirements taking into consideration performance and scalability to large datasets;

  • Designing and building analytical procedures;

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

  • Understanding of relational databases and SQL, NoSQL database models, XML and other database models, development languages, such as Python, Java or equivalent and applying analytical methods to large datasets leveraging one of those languages;

  • Utilizing ETL tools and techniques, such as Talend and Mapforce to map transformation and flow of data from a source to a target system;

  • Applying into projects statistical or numerical methods, data munging or data-driven problem solving;

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

  • 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;

  • Developing solutions through data analytics and programming/scripting utilizing Python, Java, R, Scala, and C++;

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

  • Leveraging knowledge of data wrangling techniques and scripting languages; - Working on a cloud based infrastructure environment;

  • Understanding how to develop data science analytic models 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, Decision Forests, etc., and,

  • Utilizing and applying into projects knowledge of technologies such as H20.ai, Google Machine Learning and deep learning; NLP and text based extraction techniques.

Demonstrates thorough abilities and/or a proven record of success in the following areas:

  • Creating models which can be productionised immediately;

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

  • Working cross-functionally with multiple teams and stakeholders to juggle multiple time-sensitive projects efficiently;

  • Managing accounts, follow-through, resourcefulness, and attention to detail;

  • Applying moderately complex mathematical or statistical methodologies;

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

  • Utilizing effective written and verbal business communication skills when interacting with team members and/or clients in a professional setting.

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.


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 Scientist Senior Or Lead

Progressive

Posted 4 days ago

VIEW JOBS 4/19/2019 12:00:00 AM 2019-07-18T00:00 Data Scientist Are you an entrepreneur at heart? Do you thrive in a fast-paced collaborative team environment? Do you like puzzles and solving wicked problems? Do you love technology and what it can do for people? At the Progressive Growth Incubator, we are focused on finding ways to make people's lives easier – we want to take the worry out their lives and give them more time to focus on the people and activities that are important to them. We are a start-up built on the foundation of amazing people, culture, and the core values of Progressive, a Fortune 200 technology and insurance company. We are looking for entrepreneurs and intrapreneurs to join our fast-growing team. We are a multi-functional team of digital product managers, designers, engineers, and analysts that work as a unit towards a common goal. We are creative technologists and problem solvers that leverage customer focused agile methodologies to identify unmet need and complex problems. We are willing to risk, learn, and grow by challenging our hypothesis and assumptions through continuous test and learn plans. We are true to our name, Progressive. As a Data Scientist in the Progressive Growth Incubator you'll advance the use of technology, machine learning and large sets of labeled data to enable our competitive advantage, business goals, and objectives. You'll play a role that spans from machine learning engineer to business consultant, working closely within a tight-knit and cross-functional team of software engineers, product strategists and product leaders at our new downtown Cleveland office. Education and/or experiences listed below are the minimum requirements for job entry: * Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics) and a minimum of 2 years of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools (R, Python, etc.) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data. * In lieu of a degree, a minimum of 4 years of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools and in using various database tools processing large volumes of structured and unstructured data. * A minimum of 2 years' experience with mathematical model creation and/or evaluation, hypothesis testing and experimental design. Ideal candidates will meet the following criteria: * 2 years' experience working as part of a data science team and working directly with multiple business leaders * Delivered multiple customer facing products, models and systems into production * 2 years' experience using Linux, GitHub and public cloud infrastructure * Experience implementing ML algorithms and loss functions that are novel or recently published (publication history and open source code contributions a plus) What Else We Look For: * Demonstrated skills in data mining, machine learning, programming, and dynamic optimization * Ability to query databases and apply advanced data manipulation techniques across multiple sources * Solid project management skills and the ability to handle multiple projects simultaneously while meeting tight and potentially changing deadlines in a high-paced and dynamic environment * Problem solving and structuring skills * Ability to mine large datasets and surface actionable insights * Attention to detail and ability to simplify complex ideas * Solid collaboration and communication (written and verbal) skills * A passion for empirical research and answering hard questions with data * Proficiency in at least one higher level programming language * Thought leadership experience, such as applying data driven models with a tangible impact on business * Ability to understand and articulate the "big picture" * Ability to perform in an ambiguous environment and to work with multiple stakeholders from various business units * Ability to identify and learn applicable new techniques independently as needed Our company As one of the largest auto insurance companies in the nation, Progressive offers the confidence and stability that comes with working for a growing, always evolving organization. As an employee, you will enjoy an inclusive environment that embraces strategic thinking, drive and passion. Progressive employees also benefit from: * Annual gainshare bonus of up to 30% of your salary; Progressive rewards each of us with an annual bonus based on company performance * 401k which includes dollar-for-dollar company match of up to 6% * Paid training, tuition assistance and career development * Diverse, welcoming culture with Employee Resource Groups and casual dress * Onsite gym and wellness programs with discounts & rewards * Healthcare onsite and standard benefits (medical, dental, vision) Apply today! Equal Opportunity Employer Progressive Cleveland OH

Rapid Prototyping - Data Science - Senior Associate

Pwc