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Data Scientist

Aspirent

Atlanta, GA

python r machine-learning

Mar 15

MUST BE A US CITIZEN


Responsibilities

·       Help to create and deliver project proposals and guide our strategic thinking on offering analytics consulting services to our clients

·       Consult with clients to gain an understanding of the current state of the business area(s), their immediate and long term needs, any KPI goals, and to determine what success looks like

·       Consult heavily with business users and stakeholders to 1) identify, capture and leverage appropriate data sources across areas of the business, and 2) ensure that analytical solutions are tailored to business needs and will support or result in actionable customer strategies, and 3) determine delivery & implementation options

·       Develop & help implement strategic analytical and data mining solutions to understand key business behaviors such as customer acquisition, product up-sell, customer retention, lifetime value, channel preferences, customer satisfaction, and loyalty drivers, etc.

·       Lead analytics and strategy engagements; Provide project-specific guidance to our team members in performing analyses and delivering strategic recommendations; Create and maintain project plans, project schedules, and other project documentation

·       Provide statistical methodology and project management support for commercial deliverables as well as custom studies

Qualifications:  

·       5+ years experience in any of the following areas:

·       Statistical/Data Model development leveraging SAS, Python, and R.

·       Data Mining/Financial Analysis

·       Programming strength in a variety of languages: SQL, C/C++, Java, Python, Perl

  • Optional programming strength in the following Hadoop tools: MapReduce, Pig, Hive, Hbase

Knowledge, Skills, & Abilities:  

·       Strong written/verbal communication and presentation skills

·       The ability to work with all levels of staff & leadership

·       Ability to self-motivate, adapt, and multi-task in a fast-paced environment

·       Regression (linear, multiplicative, logistic, censored, Cox, etc)

·       Test Design/Design of Experiments

·       Segmentation and clustering

·       Decision tree analysis

·       Neural networks, genetic algorithms and other computational methods

·       Mathematical programming and optimization

·       Structural equations modeling

·       Conjoint analysis

·       Time series analysis and forecasting, smoothing techniques

·       Information design, info-graphics, scorecard/dashboard/presentation development

EDUCATION REQUIREMENTS:

·       BA or BS required; MS, MBA or PhD preferred

·       Formal training Economics/Econometrics, Statistics, Operations Research, Finance or Mathematics is a plus, familiarity is necessary.