Job Posting End Date: October 02
General Summary:We are seeking a Data Scientist I to join the CX Analytics team within our Customer Experience organization. In this role, you will apply data science, analytics, and AI to transform structured and unstructured data into actionable insights that improve customer and business outcomes. You will conduct analyses, support experiments, identify trends and drivers, and help answer complex business questions while partnering with BI Analysts, Data Engineers, and business stakeholders.
The ideal candidate is a curious and collaborative problem-solver with developing skills in programming, statistics, and data analysis. Working with guidance from your manager, you will take initiative in executing analytical approaches, growing your technical and business knowledge, and contributing to data-driven decision-making across the organization.
This is a campus-based role.
Job Specifications- Bachelor's degree in quantitative field is preferred
- 2 years preferred of professional experience or equivalent relevant work experience
- Core Data Science Capabilities: Deep expertise in at least one of the following skillsets preferred, with basic capability in the others:
- Programming & Process automation: Experience using APIs, file I/O, database, and analysis libraries. Understanding of programming in Jupyter notebooks and/ or statistical packages. Understanding of process mapping and demonstrated application of scripting languages to automate processes. Exposure to data mining and web scraping.
- Data Visualization: Working knowledge of two or more data visualization tools and proficiency in static data visualization. Basic understanding of dynamic data visualization
- Statistics & Statistical modeling: Solid understanding of statistical inference and regression. Basic understanding of machine learning techniques including random forests and neural nets. Basic understanding of feature selection and extraction which may include analysis of categorical data, multiple comparisons, Central Limit Theorem, bootstrapping, and permutation tests
- Data Extraction, Transformation, and Loading (ETL) skillsets preferred: Expertise in writing complex SQL queries that join multiple tables/databases. Given a business problem, independently explore databases/tables to identify best data sources. Demonstrates ability to troubleshoot complex SQL queries written by others with little guidance.
- Core business capabilities: basic communication skills, exposure to financial services industry, and attention to detail and ability to prioritize while working on multiple projects keeping track of due dates
- Leadership Capabilities: Ability to coach or mentor team members, respond quickly and positively to change, adheres to technical best practices by collaborating with team members to deliver high-quality output
- Preferred characteristics: Entrepreneurial self-starter. A thorough, results-oriented problem-solver, and a lifelong learner with voracious curiosity. Basic understanding of their organization.
Principal Duties and Responsibilities- Design and execute analytical solutions using statistical, optimization, simulation and data mining methods with a focus on delivering actionable insights and partnership to deliver business value.
- Integrate large volume of data from different sources (including DB2, SQL Server, Web API and Teradata) to create data assets and perform analyses.
- Apply validation, aggregation and reconciliation techniques to create rich modeling-ready data framework.
- Construct predictive models using machine learning 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 manager.
- Support integration of solutions within existing business processes using automation techniques.
- Understand theory and application of current and emerging statistical methods and tools.
- Perform other related duties as assigned
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The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.
$60,500.00-$123,400.00
Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans.
Company:
Unum
