Data Scientist-Machine Learning Engineer

Location
60290, Chicago
Salary
Not Specified
Posted
Nov 12, 2020
Closes
Jan 11, 2021
Ref
78137360#GIJ--Allstate.1
Category
IT
Job Type
Not Specified
Career Level
Not Specified

The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. As a leader in a corporation with 83,000 employees and agency force members, you’ll have a hand in transforming not only Allstate but a dynamic industry. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.

You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.

Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them.

Job Description

Job Summary
Allstate is seeking to hire a Data Scientist/Senior Machine Learning Engineer to join our Innovation team at our downtown Chicago location. Allstate’s Innovation Team is at the forefront of change and growth within the company, driving the creation of standalone businesses or reinvention of existing ones. Innovation projects typically include cross-functional team members within Business Strategy, Product, Technology, Design, and Go to Market functions, who use data-driven prototypes and testing to achieve desired business outcomes.

Key Responsibilities

  • Develop and prototype novel Knowledge Graph and Deep Learning Natural Language Processing (NLP) systems for risk modeling and prediction    
  • End-to-end large-scale machine learning model integration
  • Collaborate with product, engineering, and business development teams to build the most advanced data solutions in the insurance industry 
  • Document, summarize, and present findings to a group of peers and stakeholders  

Job Qualifications

MS/PhD in a quantitative or computational field such as Computer Science, Computer Engineering, Machine Learning or related field and 2+ (for PhD) or 5+ (for MS) years of industry/academic experience in prototyping and building Knowledge Graphs and NLP based solutions
•    Solid understanding of Machine Learning as applied to Knowledge Graphs and NLP
•    Solid familiarity with Graph Machine Learning methods particularly Graph Embeddings and Graph Neural Networks
•    Proficient in Graph database development
•    Proficient in Python and SQL
•    Proficiency in machine learning frameworks like scikit-learn and deep learning frameworks like Pytorch, Tensorflow, or Keras
•    Experience with large scale machine learning models and systems
•    Strong programming skills, familiarity with software development cycles, solid understanding of software concepts - data structures and algorithms
•    Thrive in a fast-paced environment and willing to shift priorities seamlessly
•    Experience with communicating insights and presenting concepts to diverse audiences
•    Team player mindset and ability to work in an interdisciplinary team
•    Goal orientation, self-motivation, and drive to make a positive impact in the insurance industry


Preferred Qualifications: 
•    Extensive experience with ontologies
•    Experience with temporal knowledge graphs
•    Good understanding of Natural Language Processing 
•    Publications in ICML, ICLR, NeurIPS, KDD or equivalent
•    Insurance domain expertise

Where good people build rewarding careers.

Think that working in the insurance field can’t be exciting, rewarding and challenging? Think again. You’ll help us reinvent protection and retirement to improve customers’ lives. We’ll help you make an impact with our training and mentoring offerings. Here, you’ll have the opportunity to expand and apply your skills in ways you never thought possible. And you’ll have fun doing it. Join a company of individuals with hopes, plans and passions, all using and developing our talents for good, at work and in life.

The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.

 

Good Work. Good Life. Good Hands®.

 

As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life -- including a generous paid time off policy.

 

Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.

 

Allstate generally does not sponsor individuals for employment-based visas for this position.

 

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

 

For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

 

To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs

 

To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

 

It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

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