Advisor Data Science
Round Rock , Texas
November 22, 2017
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Principal Accountabilities
1. Interacts with business leaders to understand business strategy, conditions and problem areas

2. Contributes to business strategy and influences decision making based on information gained from deep dive analysis

3. Produces actionable & compelling recommendations by interpreting, exploring, identifying and communicating insights discovered from complex data sets

4. Partners with both internal & external sources to gather and examine data from disparate sources with the goal of discovering previously hidden insights

5. Designs, develops and programs methods, processes and systems to consolidate and analyze unstructured data to generate actionable insights and solutions

6. Develops and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources

7. Constructs predictive models, algorithms and probability engines; verifies model and algorithm effectiveness based on actual results

Principal Responsibilities
0. Develops and applies a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights to prospects and customers based on large-scale data;
1. Works under little to no supervision with internal and external teams to understand customer requirements
2. Leads and performs end-to-end steps involved in model development, while establishing subject-matter expertise in key horizontal or vertical themes
3. Executes preliminary data exploration, data preparation steps and variable/algorithm selection as well as model development/validation and scoring
4. Independently develops and drives testing of algorithms' efficacy for differing analytical use-cases
5. Delivers results and presentations in a timely manner
6. Leads definition of project use-cases, scope definition, and ongoing interaction with external customers to provide status updates and shares analytical insights
7. Leads the presentation of project outputs to external customers without assistance
8. Collaborate with internal sales teams to educate prospects and customers on analytics offerings while leading pre-sales discussions by presenting on analytics service offering and technology stack


Education and Experience

Typically requires 8+ years of related experience in a professional role with a Bachelors degree; or 6+ years with a Masters degree; or 3+ years with a PhD; or equivalent experience

Required Skills
- Microsoft office suites, Modeling Technique including linear and logistic regression, Decision Tree, SAS background, Microsoft SQL, R, or other programming languages, data and detail oriented
- Appropriate mathematical knowledge
- Strong statistical analysis skills
- Strong knowledge of job associated programming languages
-- Strong understanding of business environment and industry trends
- Strong communication and problem solving skills
- Strives for professional development
- Ability to work in a team environment
- Customer focused
- Strong technical aptitude
- Possesses Strong product/technology/industry knowledge
- Understanding of products and their value added to the customer

Job Family: Business Support
Job ID: R15749

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