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.

Department Description

Data Discovery and Decision Science (D3) is the research and analytics organization at Allstate. We are solving some of today’s most complicated analytics problems, making the lives of our Allstate colleagues easier and more productive, and driving our mission to deliver perfect insurance solutions to our customers. We are avid about learning and applying new tools and techniques to get the most value from our massive data resources. As a Senior Data Scientist in D3, you will get 10% of your time to innovate, work on your own initiatives, learn, collaborate, and teach. In partnership with technology and the business, we are incorporating analytics into every aspect of the enterprise. We are deeply committed to developing ourselves and others as a path to success.

Job Description

In this role, you will be responsible for helping Allstate’s sales team maximize every direct sales opportunity through your understanding of consumer value and producer sales effectiveness. You’ll accomplish this by leading the use of data to make decisions that improve business outcomes for the direct sales organization. This includes developing and managing new machine learning and predictive modeling algorithms and searching for and integrating new data that improves our results. You’ll be partnering with multiple areas, including Direct Sales, Marketing, Technology and Data Strategy to evangelize experimentation and integration of analytics that support the consumer to customer journey. As a senior member of the team, you’ll also play a role in the mentoring and support of new data scientists.

Key Responsibilities

Uses best practices to develop complex statistical, machine learning techniques to build models that address business needs and to improve the accuracy of our data and data-driven decisions
Reviews, evaluates and communicates appropriateness of modeling techniques and results to team, leadership and stakeholders to ensure these are well understood and incorporated into business processes. Develops and executes communication strategy, keeping stakeholders informed and finding opportunities to influence the direction of work.
Collaborates with the team and works on data and complex business problems in order to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models. Understands the business’ problems to identify the optimal modeling approach.
Identifies languages and tools that can bring efficiencies or needed techniques to the team. With coaching can identify new areas of data, research and models that can solve business problems.
Utilizes effective project planning techniques to break down moderately complex and occasionally complex machine learning/predictive modeling and/or development projects into tasks and ensure deadlines are kept
Mentors and develops others

Job Qualifications

Education and Experience

Master’s or PhD
3 or more years of relevant experience

Functional Skills

Experience in managing and manipulating large, complex datasets and ability to analyze and interpret moderate to complex concepts
Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise
Demonstrated Analytic Agility and ability to quickly learn and switch topics
Ability to use and learn a wide variety of tools and languages to achieve results
Ability to code and develop prototypes in various languages
Experience in using statistical modeling and/or machine learning techniques to build models that have driven company decision making
Experience with advanced system programing
Experience working with Agile team
Knowledge of advanced machine learning techniques and libraries
Knowledge of full stack development

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.

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Senior Data Scientist - Sales Effectiveness - Military Veterans

San Francisco, CA

San Francisco, CA