Job Description

This role is responsible for leading the use of data to make decisions, with a focus on supporting the Casualty business through predictive modeling and machine learning solutions.

This includes the development and recommendation of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data, both internal and external, that improves our modeling and machine learning results and ultimately our decisions, and discovery of new business problems that can be solved through the use of machine learning/predictive modeling.

The role is responsible for assisting in the mentorship and development of junior data scientists. This role is also accountable for informing the strategy of the department and will begin to manage complex projects as an individual contributor.

Key Responsibilities

• Uses best practices to develop complex statistical and machine learning techniques to build models that address business needs, including Casualty-related outcomes such as claim severity, disputes, settlement strategy, and operational efficiency.
• Reviews, evaluates, communicates and makes recommendations on the appropriateness of modeling techniques and results to the team, leadership and stakeholders to ensure these are well understood and incorporated into business processes. Develops and executes communication strategy, keeps stakeholders informed, and influences business partners and senior leaders on the effectiveness of machine learning/predictive modeling to solve business problems, including the ability to explain technical information clearly to non-technical partners.
• Utilizes effective project planning techniques to break down complex machine learning/predictive modeling and/or development projects into tasks, manages scope of projects, develops project plans, and ensures deadlines are kept. Manages analytical and modeling projects with a small number of team members and is expected to work independently with customers after initial onboarding.
• Supports, mentors, and coaches junior data scientists and team members as needed.
• Collaborates with and influences business units, including design teams and Casualty partners, to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models. Effectively understands business problems and requirements to identify the optimal modeling approach and build alignment within the department.
• Identifies languages and tools that can bring efficiencies or needed techniques to the team, including Python, SQL, R, and preferred exposure to AWS or Azure cloud environments. Identifies and develops solutions that use new areas of data, research and models, and develops data sources that can solve business problems.

Essential Skills

• 4+ years of data science, machine learning, predictive modeling, and/or querying data experience
• Hands-on experience with Python, SQL, and/or R
• Experience building or applying machine learning/predictive models to solve business problems
• Ability to query data and work with databases/data sources
• Ability to explain technical information clearly to non-technical stakeholders
• Ability to work independently with customers after initial onboarding

Desired Qualifications

• Master's Degree. In lieu of education requirements, an equivalent combination of education and experience may be considered.
• Must be able to work in Eastern or Central time zone.

Supervisory Responsibilities

• This job does not have supervisory duties.

Travel

• Must be able to travel up to 10% for onsite meetings.

This position is not available for California, Alaska, Hawaii, Washington, or Puerto Rico residents.

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Skills
AWS Cloud Computing, Effective Presentations, Leadership Communication, Machine Learning (ML), Predictive Modeling, Python (Programming Language), Querying Data, R Programming, Structured Query Language (SQL), Windows Azure Cloud

Compensation
Compensation offered for this role is 134,000.00 - 209,750.00 annually and is based on experience and qualifications.

Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.