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Data Scientist

Location : Cary, NC
Job Type : Direct
Hours : Full Time
Required Years of Experience : 5+
Required Education : BS
Travel : No
Relocation : No

Job Description :


Join an advanced analytics consulting firm trusted for its data science and data engineering capabilities. Utilize your deep expertise in marketing science, customer analytics, operations & planning analytics, and risk analytics to deliver data-driven value and insight to Fortune 100 companies, who are leaders in their industries.


·         Use the latest applications of data science to solve complex business problems , leveraging a combination of technical and industry / functional knowledge

·         Work with client stakeholders to understand key business problems, determine solution requirements, build statistical / predictive models, and ensure models are deployed and deliver projected business benefits

·         Apply a broad range of techniques and theories from statistics, machine learning, NLP and business intelligence to create actionable business insights

·         Interface with onsite client technical staff and with remote technical teams to insure effective delivery

·         Communicate results to technical as well as business teams, and create blueprints to operationalize analytic solutions

Required Qualifications :


·         5+ yrs. experience delivering advanced analytics solutions and services to clients  

·         Ability to engage with client stakeholders to understand their business problems & develop  data-based solutions and insights

·         Develop analytical solutions (mostly predictive models) in the areas of Pricing, Marketing, Distribution, Claims and Operations

·         Strong analytical skills with proficiency in application of statistical analysis and machine learning algorithms (Generalized Linear Models: linear, logistic, Poisson etc., Survival Analysis, Neural Networks, SVM, Bayesian Methods, Ensemble techniques, etc)

·         Hands-on expertise developing advanced analytics solutions in areas such as price optimization, risk management, market mix effectiveness analysis, customer lifetime value analysis and claims

·         Ability to leverage open source analytic tools such as R, Python, PySpark to build advanced analytic models

·         Experience accessing data from cloud and big data platforms such as Hadoop HDFS & Hive  

·         Experience migrating models from platforms like SAS/SPSS to R, Python based data science platforms

·         Ability to play a lead role communicating client business problem context to the remote teams and leverage them effectively in execution, while owning client interactions, project management and expectation setting.

·         Bachelor's degree or higher in Statistics, Mathematics or a related quantitative field.

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