Red hat Senior Data Scientist Go-To-Market Strategy & Incentives 

United States, North Carolina, Raleigh 

714669358

What you will do:

• Designs and develops enterprise-class, advanced analytics models to understand and solve complex GTM business problems such as segmentation, quota modeling, resource deployment model creation and Cost of Sales/Sales Productivity.

• Identifies relevant data sources and sets to mine for customer/business opportunities, collecting large structured and unstructured datasets and variables.

• Leads the design, execution and interpretation of data/analytic studies, including algorithm development, sample size calculations, statistical method selection, model development/tuning, etc.

• Transform & improve data quality for all dimensions of Sales management & planning.

• Create data architecture aligned to the business requirements for Sales Management

• Curate data fit for purpose for end-to-end Incentives process, including target planning, quotas, development & territory structures

• Transform the end-to-end process for Quotas from client segmentation to target setting models for Quotas, Territory & Quota deployment at scale

• Develops processes utilized to perform data and error analysis to improve data modeling; ensures data is clean and validated for uniformity and accuracy to support consistent, meaningful reporting

• Analyzes data for trends and patterns and interpret data with clear objectives in mind.

• Collaboratively develops predictive and advanced intelligence to empower and optimize customer engagements at scale.

• Works closely with key leaders/teams across Sales, Finance, Operations, Marketing and IT, to understand business needs, empower business stakeholders to execute.

• Translates complex analytical and technical concepts to business stakeholders and executive leadership to enable understanding and guide informed business decision making.

• Serves as a lead, overseeing the work of other Data Analysts on the team, serving as a SME across different functional aspects of the work this team undertakes.

• Leverage judgment and interpretative understanding of the data to help resolve critical issues that will have an impact on the long term success of the business.

• Apply learnings from the data, alongside proven theories and concepts, to advise Red Hat executives on proposed strategies and strategy adjustments

What you will bring:

• 5 + years experience manipulating data sets and building statistical models.

• Experience working in or directly with Sales teams in a software/technology company.

• Advanced experience in pattern recognition and predictive modeling.

• Familiarity with business value and use cases of data science concepts such as artificial intelligence and machine learning.

• Knowledge of advanced statistical techniques and concepts (regression, simulation, scenario analysis, clustering, decision trees, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

• Ability to take initiative, manage multiple projects and problem solve in ambiguous situations.

• Excellent written and verbal communication skills, for use in information gathering, presenting findings and coordinating across teams.

• A drive to learn and master new technologies and techniques.

• Motivated with a solid sense of accountability.

• Experience with SQL and programming languages (e.g., Java/Python, SAS, R)

• Experience with relational database systems like SQL Server, Amazon Redshift, Oracle, Big Query, etc.

• Bachelor’s degree (or equivalent) in statistics, mathematics, computer science, data science or a quantitative related field; Master’s degree strongly preferred.

Nice to have:

• Experience using Tableau and Google productivity suite (e.g., Docs, Sheets, Slides).

• Experience with Salesforce.com (SFDC) and reporting in SFDC.

The salary range for this position is $116,270.00 - $191,840.00. Actual offer will be based on your qualifications.

Pay Transparency

● Comprehensive medical, dental, and vision coverage

● Flexible Spending Account - healthcare and dependent care

● Health Savings Account - high deductible medical plan

● Retirement 401(k) with employer match

● Paid time off and holidays

● Paid parental leave plans for all new parents

● Leave benefits including disability, paid family medical leave, and paid military leave