Principal Data Scientist - Go-To-Market Strategy & Incentives

5 days ago

🌲 North Carolina – Remote

Although this job is listed in North Carolina, this company may be open to hiring remote in other states.

💵 $131.4k - $216.9k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Red Hat

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Red Hat is the world's leading provider of enterprise open source solutions, including Linux, cloud, container, and Kubernetes platforms. With its robust portfolio of hybrid cloud infrastructure and application services, Red Hat aids enterprises in deploying IT services across diversified infrastructures rapidly and cost-effectively. Trusted by more than 90% of companies in the U. S. Fortune 500, Red Hat offers products like Red Hat Enterprise Linux, OpenShift, and the Ansible Automation Platform, facilitating advancements in areas such as AI, edge computing, and IT automation. The company leverages open source communities to drive innovation and ensure enterprise-ready software solutions that are stable, secure, and reliable across any platform.

cloud computing • hybrid cloud management • Linux • open source • virtualization

10,000+ employees

Founded 1993

🏢 Enterprise

☁️ SaaS

💰 Corporate Round on 1999-03

📋 Description

• 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.

🎯 Requirements

• 15+ 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. • Experience using Tableau and Google productivity suite (e.g., Docs, Sheets, Slides). • Experience with Salesforce.com (SFDC) and reporting in SFDC

🏖️ Benefits

• 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 • Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!