Data Science Director
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.
Job Description
Data Science incorporates techniques across many disciplines – including mathematics/statistics, computer programming, data engineering and ETL, software development, and high performance computing – with traditional business expertise with the goal of extracting meaning from data to optimize future business decisions. Individuals in this field should be an expert/fluent in several of these disciplines and sufficiently proficient in others to effectively design, build, and deliver end to end predictive analytics products to optimize future decisions. Individuals also demonstrate sufficient analytic agility to quickly develop new skills across these disciplines as those disciplines evolve. Data Scientists are responsible for aligning with and contributing to product and corporate growth and profitability objectives. The Data Scientist family is accountable for using data to make decisions, which includes building predictive models and developing new machine learning techniques that enable Arity to make better decisions and achieve goals.
This role is responsible for leading across functions to build alignment for the use of data to make decisions. This includes the development of strategies that leverage the state of art machine learning/predictive modeling and developing the alignment with key stakeholders on these strategies. The role is responsible for the development of automated decision making strategies that enable business decisions to be made using tool that optimize outcomes. The role is accountable for development of teams that maintain the tools developed by the Data Scientists. The role determines the optimal portfolio of projects to execute and leads a team of managers and data scientists to successfully execute and implement those projects. This role is a key developer of the data analytics strategy at Arity.
Key Responsibilities
Strategy Development
- Accountable for the building & evolving the vision and strategy of using machine learning/predictive modeling, optimization and data to develop a portfolio of projects to achieve Arity goals
- Builds alignment for strategies across the organization, fostering relationships and engaging resources across departments
- Influences broader organizational and technological change to facilitate easier adoption and integration of product and analytic initiatives
- Leads efforts for continuous improvements with data, tools, methodology and processes
- Advances modeling development within the department
- Serves as subject matter expert and consultant on product related issues inside and outside the department
Portfolio Leadership
- Translates vision and strategies into roadmaps and projects
- Oversees prioritization of work across major focus areas to ensure appropriate focus on highest value projects
- Leads multiple, complex analytical and modeling/machine learning projects with many team members
- Establishes frameworks to ensure projects are managed according to overall plan managing scope, mitigating risks and solving for project risks
- Effectively understands the business problems, requirements, and context in communicating findings to ensure models are well understood and incorporated into business processes
- Determines optimal program organization and delivery approach, assists in managing budget, coordinating resources and oversees development of integrated project plans
Engages senior leadership and others to influence and improve the business
- Presents business cases with Arity senior leadership and influences cross-functionally to take, implement and deliver on recommended actions
- Achieves results on initiatives that contribute to growth and profit goals
- Encourages risk taking and innovation
- Applies efforts to diverse and complex situations to determine solutions, alternatives or guidance
- Represents Arity on panels, in outside venues or forums
- Serves as a subject matter expert on complex issues with regulators, legal counsel and other applicable parties
- Partners with third parties, and other Allstate business units to improve the effectiveness of business decisions as appropriate
- Represents Arity at client and prospective client meetings
People Leadership
- Directs managers and team members who are responsible for work that needs to be performed
- Identifies necessary staffing and skill sets to successfully execute on strategies
- Identifies skill gaps and devises training and hiring plans with managers to develop new talent
- Directs, supports, and executes talent management, developing bench strength for data science and analytics teams from analysts to project managers to new managers
- Coaches, mentors and influences others to accomplish departmental goals
- Actively seeks to connect resources across departments to share expertise educating teams on initiatives, strategy and models
- Works to maintain a friendly and collaborative work environment
Job Qualifications
- Preferably a Master’s in a quantitative field such as statistics, mathematics, finance, or economics or an actuarial designation (ACAS/FCAS) with a bachelor’s degree in a quantitative field
- Deep expertise in pricing, statistical, machine learning, rating plan design, and insurance regulation knowledge, with working knowledge of personal lines underwriting and product offerings and company sales and marketing processes
- Proven strong ability in leading teams and cross functional project
- Proven strong ability to manage teams overseeing machine learning/predictive modeling work in software such as SAS, SPSS, Matlab, R, CART, etc.
- Proven strong ability to manage teams overseeing development of prototypes in Python, Perl, Java, C, etc
- Proven deep knowledge of advanced modeling/machine learning techniques
- Ability to train, develop, and teach more junior team members
- An advanced knowledge about business in general and seasoned, in-depth, multi-dimensional knowledge of industry and company economics
- Ability to analyze and interpret complex concepts
- Ability to lead teams in the development rating plans
- Ability to lead teams in the development Price Optimization Frameworks
- 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
- Ability to concentrate on a wide range of loosely defined complex situations, which require application of creativity and originality, where guidance and counsel may be unavailable
- Proven communication and influence skills taking varying audiences into consideration
Heads up: when you click “apply now” you’ll be directed to the Allstate careers site. You’re still looking at an Arity job, but because we were founded by Allstate, we share the same application system.