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Principal Data Scientist

ADP

This is a Contract position in Florham Park, NJ posted January 15, 2020.

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Salary or Hourly Position Description Principal Data Scientist Position Summary: The Small Business Services (SBS) Principal Data Scientist will be responsible for the design, planning and execution of major data science and analytics initiatives which span the enterprise and drive measurable business outcomes.

Their focus will on development, validation and business adoption of statistical and machine learning models to identify trends within structured, semi-structured and time-series data; all heavily leveraging our existing big data infrastructure, making use of leading edge analytical approaches.

This individual will be a senior member of the SBS Data Insight team , a highly collaborative team, which provides data science and deep analytics expertise to solve the most challenging business problems here at SBS ADP.

Unlock Your Career Potential: Technology at ADP .

Do you enjoy exploring, identifying and inspiring the future of the workplace and the lives of millions of people?

At ADP, the world’s largest B2B cloud company, our Technology team is comprised of brilliant engineers, architects, data scientists, infrastructure experts, and more.

We were first in our industry to offer a SaaS solution and continue to push the envelope utilizing the latest operating platforms to deliver the highly automated, intelligent and predictive solutions that are redefining what is possible.

Named one of Forbes’ ” Most Innovative Companies ” and one of Computerworld’s ” 100 Best Places to Work in IT “, we are committed to leading the way in product development and research, empowering you to bring to life the latest innovations that will forever change the way businesses manage their most vital asset, employees.

We strive for every interaction to be driven by our CORE values: Insightful Expertise, Integrity is Everything, Service Excellence, Inspiring Innovation, Each Person Counts, Results-Driven, & Social Responsibility.

Qualifications: Education & Certification: An advanced degree in computer science or equivalent subject, PhD preferred.

Track record in designing and delivering useful, consumer-oriented big data and machine learning applications Track record in top-tier publications (e.g., NIPS, ICML, T-PAMI, ACL, ICDM, AAAI , etc.) Foundational knowledge about statistics and computational probability .

Strong foundational knowledge and experience with Machine Learning and Data Mining such as Kernel machines, ensemble learning, deep learning, regularization theory Active and semi-supervised learning Transfer learning Clustering Feature selection and dimension reduction Statistical analysis and hypothesis tests Strong knowledge and experience with NLP such as POS tagging, chunking, named entity recognition, parsing, sentiment analysis, topic detection, etc.

Strong knowledge and experience with recommendation such as learning to rank, collaborative filter, etc.

Solid knowledge on numeric computation and scientific optimization including linear programming, convex programming, dynamic programming, etc.

Experience with OO and functional languages (e.g.

Scala, Python, etc.) Experience with big data framework (e.g., Hadoop, Spark, etc.) Experience with scientific computing packages and machine/deep learning libraries (e.g., scikit-learn, tensorflow, pytorch, deeplearning4j, h2o.ai, spark ML, etc.) Experience with data visualizations Experience with NLP libraries (e.g., nltk, corenlp, etc.) Essential Duties and Responsibilities: Define how analytics solution will be constructed: which existing will be integrated, how they will be integrated and what gaps in capability need to be filled.

Serves as design authority at a project level by understanding the business goals and technology constraints and designing appropriate solutions that create measurable impact to business.

Extract, merge, clean and normalize large-scale data from disparate sources in preparation for exploratory data analysis, model building and validation within a big data environment.

Develop, validate ML classification, regression models using Python or similar in order to directly answer business needs, and to positively impact business operations.

Prepare appropriate data visualizations and presentations to highlight findings and recommendations for both a technical and executive audience.

Promote a unified approach leveraging existing data sets and efforts while also ensuring collaboration throughout the organization to ensure adoption and common standard approach Establish credibility as a trusted advisor to key stakeholders across the enterprise in order to drive business actions and outcomes based on results of your analysis.

Apply good business and financial acumen to create and assess business cases.

Implement appropriate mechanisms to track, measure the business impact of your work.

Employment Status Full-Time Preferred Qualifications ________________ LITECH LI-JT1 About ADP We’re designing a better way to work, so you can achieve what you’re working for.

Consistently named one of the ‘Most Admired Companies’ by FORTUNE® Magazine, and recognized by DiversityInc® as one of the ‘Top 50 Companies for Diversity,’ ADP works with more than 740,000 organizations across the globe to help their people work smarter, embrace new challenges, and unleash their talent.

“Always Designing for People” means we’re creating platforms that will transform how great work gets done, so together we can unlock a world of opportunity.

All Locations EEO IS THE LAW: To read more about Equal Employment Opportunity (EEO) please click on the links below: At ADP, we believe that diversity fuels innovation.

Our diversity benefits our associates, clients, and our communities.

ADP is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status or protected veteran status.

We support an inclusive workplace where associates excel based on personal merit, qualifications, experience, ability, and job performance.

We endeavor to make this site accessible to any and all users.

If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact ( 973)-974-5000.

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