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Principal Data Scientist - CX Analytics
Career Insights for Data Analyst
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Based on Tennessee data
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What they do
A Data Analyst develops computer programs to analyze large customer information databases for companies and organizations. Analyzes data to identify patterns and provide information relevant to a particular business, industry or field; analysis may be used for marketing, or to detect fraud in financial transactions, or for research. Develops computer programs to protect confidential customer information.
$75,388 / year median in Tennessee
+17% projected growth
Job Description
- _•All the benefits listed above are subject to the terms of their individual Plans_•.
- And that's just the beginning… With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers.
General Summary:
- We are seeking a Principal Data Scientist to join the CX Analytics team within our Customer Experience Organization.
- Principal Duties and Responsibilities
- Proactively partner with the business to provide actionable insights and identify growth opportunities; communicate analysis to obtain buy-in and drive decision making.
- Integrate large volume of data from different sources (including
DB2, SQL
Server, Web API and Teradata) to create data assets for ad-hoc analyses and larger studies.- Apply validation, aggregation and reconciliation techniques to create rich modeling-ready data framework.
- Build and maintain best practices for team's data science strategy; as well as staying informed of best practices across industries and striving for innovation and efficiency.
- Prioritize and lead analytics projects
- Apply domain expertise to modeling process using state-of-the-art techniques to construct predictive models to explain and understand observed events, forecast expected behavior, or identify risk through scoring or clustering.
- Efficiently interpret results and communicate findings and potential value to business partners to influence strategic decision making.
- Lead the integration of solutions within existing business processes using automation techniques.
- Understand theory and application of current and emerging statistical methods and tools.
- Coaches, mentors and develops peers and/or team members.
- Perform other related duties as assigned.
- Job Specifications
- + Bachelor's degree in quantitative field is required, Master's or PhD is preferred + 8 years of professional experience or equivalent relevant work experience preferred +
Core Data Science Capabilities:
- Deep expertise in each of the following categories of skillsets is preferred + Programming & Process automation: Experience with using file I/O, database integrations, and APIs to build automated analytics pipelines.
Data Visualization:
Demonstrates the ability to critically evaluate visualization suitability to specific scenarios. +Statistics & Statistical Modeling:
Expertise on statistical inference and regression. Expertise in machine learning, feature selection, and feature extraction. Demonstrated experience in leading multiple high-impact machine learning and analysis projects end-to-end +- Data Extraction, Transformation, and Loading
- skillsets preferred: Expertise in writing complex SQL queries that join multiple tables/databases. Demonstrated through independent research of data sources, troubleshooting complex SQL queries, and leading partnerships with external data providers. Demonstrates ability to create logical data models by combining data from multiple sources including internal and external data. +
- Core business capabilities
- : Strong communication skills, expertise in financial services, strong experience leading engagements, and working with executive leadership. Strong project management skills; effectively and independently prioritizes and manages own projects simultaneously and provides direction on projects and prioritization to less experienced team members. +
- Leadership Capabilities
- : Leader within their field, both internally and externally. Naturally effective coach and mentor, actively engages peers and team members, especially within areas of expertise. Viewed as a leader in change management. Maintains depth of technical understanding of third party/cloud solutions. + This position
- may•have key leadership responsibilities, including: +
People Management:
Actively participates in determining staffing needs of the team, including hiring and development. Leads assigned team in the completion of requested activities and projects. + Analytics strategic and program management for their organization: Coaches, mentors, and helps build team. Proactively identifies and researches new approaches and skills needed for performing data science and advanced analytics. +- Preferred characteristics
- : Entrepreneurial self-starter.