Data Scientist-Machine Learning Engineer
The world isnt standing still, and neither is Allstate. Were moving quickly, looking across our businesses and brands and taking bold steps to better serve customers evolving needs. Thats why now is an exciting time to join our team. As a leader in a corporation with 83,000 employees and agency force members, youll have a hand in transforming not only Allstate but a dynamic industry. Youll have opportunities to take risks, challenge the status quo and shape the future for the greater good.
Youll 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 lifes uncertainties so they can realize their hopes and dreams. For 89 years weve thrived by staying a step ahead of whatevers 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. Weve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We dont follow the trends. We set them.
Allstate is seeking to hire a Data Scientist/Senior Machine Learning Engineer to join our Innovation team at our downtown Chicago location. Allstates 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.
- 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
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
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 cant be exciting, rewarding and challenging? Think again. Youll help us reinvent protection and retirement to improve customers lives. Well help you make an impact with our training and mentoring offerings. Here, youll have the opportunity to expand and apply your skills in ways you never thought possible. And youll 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 thats 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, youll 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.
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