Jobs › Companies › Unum › Data Scientist I - CX Analytics

Sobre este puesto de Data Scientist I - CX Analytics en Unum

Unum · Presencial · Portland, Maine, USA
Job Posting End Date: October 02

When you join the team at Unum, you become part of an organization committed to helping you thrive.

Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life’s moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide: 

  • Award-winning culture 

  • Inclusion and diversity as a priority 

  • Performance Based Incentive Plans

  • Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability 

  • Generous PTO (including paid time to volunteer!) 

  • Up to 9.5% 401(k) employer contribution 

  • Mental health support 

  • Career advancement opportunities 

  • Student loan repayment options 

  • Tuition reimbursement

  • Flexible work environments 

*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. Whether you’re directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today! 

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



#LI-AD1

#LI-MULTI

#LI-HYBRID

~IN1

Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.

Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.

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
¿Listo para postularte en Unum?
Postúlate en Unum

Sobre Unum

At Unum Group, we’re a Fortune 500 company and leading international provider of workplace benefits and services, helping workers and their families thrive for more than 175 years. Through our Unum and Colonial Life brands, our company offers disability, life, accident, critical illness, dental and vision insurance; leave and absence management support; and behavioral health services. Our 10,000+ employees work across operations in the US, UK and Poland, as well as our dedicated Technology Centre in Ireland. Unum Group is committed to working with and providing reasonable accommodations for any applicant with a disability. If you are disabled and need a reasonable accommodation to participat

Ver todos los empleos en Unum →

Empleos similares

Unum
Data Scientist II - Gen AI/Python/AWS/SQL
Unum
⚡ Postúlate pronto Atlanta, Georgia, USA Presencial
● Nuevo 👁 Visto ✓ Postulado hace 1sem
Unum
Principal Data Scientist - CX Analytics
Unum
⚡ Postúlate pronto Portland, Maine, USA Presencial
● Nuevo 👁 Visto ✓ Postulado hace 1 mes
Unum
Data Scientist II - CX Analytics
Unum
⚡ Postúlate pronto Portland, Maine, USA Presencial
● Nuevo 👁 Visto ✓ Postulado hace 1 mes
UiPath
Principal Applied Scientist - AI
UiPath
⚡ Postúlate pronto Bellevue Presencial $218,000–$265,000
● Nuevo 👁 Visto ✓ Postulado hace 2h
Legora AB
Senior Data Scientist - Product
Legora AB
⚡ Postúlate pronto London Presencial
● Nuevo 👁 Visto ✓ Postulado hace 2h
Legora AB
Senior Data Scientist - Product
Legora AB
⚡ Postúlate pronto New York City Presencial $169,150–$228,850
● Nuevo 👁 Visto ✓ Postulado hace 2h
Helion
Senior Data Scientist – Hardware Systems
Helion
⚡ Postúlate pronto Everett, WA Presencial $195,000–$222,000
● Nuevo 👁 Visto ✓ Postulado hace 2h
Go to Group
Senior Data Scientist - Lending
Go to Group
⚡ Postúlate pronto Jakarta Presencial
● Nuevo 👁 Visto ✓ Postulado hace 2h
ZO
Senior Data Scientist, Marketing
Zocdoc
⚡ Postúlate pronto New York, NY; Silicon Valley,... Híbrido $160,000–$220,000
● Nuevo 👁 Visto ✓ Postulado hace 3h

Regístrate para recibir sugerencias adaptadas a los empleos que abres y las búsquedas que guardas.

Más empleos en Unum

Ver todos los empleos en Unum →

Postúlate ahora
🤖

Un momento — para

JobsRadar se creó para personas reales que están pasando un mal momento en su búsqueda de empleo — no para solicitudes automatizadas. Estás haciendo clic demasiado rápido y ahora estás bloqueado temporalmente.

Vuelve más tarde. Si de verdad estás buscando empleo, cuentas con nosotros — solo compórtate como una persona.

Catch your next role the second it’s posted.

Create a free account and we’ll watch the boards for you — the instant a job matches your search, it lands in your inbox or Telegram. No digging, no refreshing.

Create free account

Free forever · takes 30 seconds · already have one?

Toma ventaja en tu búsqueda de empleo.

Únete a nuestro canal de Telegram para lo que te ayuda a conseguir el puesto — referencias salariales, el pulso semanal del mercado y avisos de nuevas funciones. Sin spam, solo señal.

Únete al canal — es gratis