Lead Data Scientist

  • Full-Time
  • Dallas, TX
  • Integrity Marketing Group
  • Posted 2 years ago – Accepting applications
Job Description
Company Description


Who We Are

Integrity is one of the nation’s leading independent distributors of life, health, and wealth insurance products with an intense focus on data and technology. We are an omnichannel insurtech company innovating insurance with a singular purpose: making insurance simpler and more human, so everyone can plan for the good days ahead. Headquartered in Dallas, Texas, Integrity’s 5,500 employees currently support over 420,000 independent agents who serve the needs of more than 2.2 million clients annually. For more information, visit www.integritymarketing.com.

Why Work Here

Working at Integrity flat-out rocks. Why? Because we put people first — and we want you to thrive in a career that you love. We’re proud of our working environment and culture, where we reward your hard work and support your strong values.

Joining us means being part of a hyper-growth company with all kinds of professional opportunities for those who are ready. Are you ready? At Integrity, we start with competitive compensation and just get better from there.

We love celebrating all your hard work with fun and swag — and we love giving back! You can look forward to friendly competitions and contests, as well as activities that help raise money for charities in the communities we serve.

At Integrity, we include benefits that make work-life more fun with more peace of mind for you. These benefits include but are not limited to:

  • Generous PTO and holiday schedule, with extra time off for community service and your birthday
  • Workplace perks galore: standing desks, subsidized lunches, game room, free snacks and drinks
  • Multiple health insurance plans to choose from
  • 401(k) with immediately vested employer matching
  • Integrity-paid HSA contributions for eligible health plans
  • Employee ownership program after one year, which grants meaningful ownership in Integrity’s ongoing success
  • Workplace perks galore: standing desks, game rooms, subsidized lunches, free parking, and free snacks and drinks

Values

  • Integrity — It’s in our name and it frames all that we do. We approach our business relationships with integrity and adhere to the highest ethical principles in all we do.
  • Family — We value our customers, industry partners, employees and their families as part of the greater Integrity family. We treat our employees and our customers with dignity and honesty.
  • Respect — We treat our industry partners, employees and customers with respect.
  • Service — Serving others is at the heart of all we do. We are passionate about offering world-class service and exceeding expectations.
  • Partnership — We look at our business relationships as long-term partnerships that are mutually beneficial and create value for each person. We communicate clearly and directly with our partners to facilitate the best outcomes for all.

Job Description


Essential Duties and Responsibilities
include the following. Other duties may be assigned.

  • Provide expertise and leadership around adopting best in class processes and techniques for statistical analysis and modeling as well as the roll out of Big Data capabilities, consumer initiatives, and analytic deployment frameworks.
  • Conduct research around the design, implementation, and validation of cutting-edge algorithms in order to analyze diverse data sources that will enable desired business outcomes in diverse fronts.
  • Drive strategic thinking and the development of analytic roadmaps to support the goals within P&L centers.
  • Collaborate with key functional areas to ensure continuity and advancement of analytic reporting and analysis.
  • Interpret data, extract trends and created recommended action plans from data and statistical analysis.
  • Leverage large proprietary and third-party datasets in novel ways to derive insights and optimize processes.
  • Participate in the construction of research data suitable for statistical research, testing, and prediction.
  • Provide mentorship and guidance to other team members while simultaneously guaranteeing statistical integrity, accuracy, and adequacy within the department.
  • Provide recommendations and training for the data science tech stack and process for collaborative model development.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


Qualifications


Technical, Data, and Reporting Skills:

  • 3+ years of experience with Python or R (Some Python experience is required)
  • 3+ years of experience with SQL.
  • 3+ years of experience using Jupyter notebooks or similar.
  • Proficiency with Git and knowledge of Git Flow.
  • Solid understanding around the intersection of Big data environments and analytics such as data lake construction, Azure applications, and cloud deployment.
  • Expert level of ability to (a) work with large data containing complex transaction-based schemes, (b) handle challenging merge requirements to assemble data, and (c) apply appropriate cleansing techniques to make data suitable for advanced modeling exercises.
  • Solid understanding of unstructured data such as text, photographs, video, and audio files.
  • Demonstrated ability around translating requests and requirements into concise and useful reports.
  • Expert level skills around data visualization setup and tools that can provide business leaders with the ability to deep dive relevant data.
  • 3+ years with modern dashboarding software (Tableau, PowerBI, etc.).
  • Statistical Modeling and Implementation
  • Mastery of statistical techniques including regression (OLS, GLMs, logistic, Tree-Based Models) and other core multivariate techniques, deep learning techniques, machine learning algorithms, text mining / NLP, and A.I. concepts.
  • Proven expertise in ML model tuning.
  • Demonstrated success in building and deploying solutions that enhance the understanding and application of consumer churn, segmentation/profiles, lifetime value, trend detection, and product optimization to name a few.
  • Demonstrated ability to support IT with Model Ops expertise. Must be comfortable working with IT teams to understand model requirements for data inputs and outputs.
  • Experience standing up models in production as well as monitoring concepts necessary to alert problems with model performance and input/output changes.
  • Understands how to translates business requirements into quick prototypes that enable more effective execution of data and analytics campaigns and the achievement of overall business targets/objectives.
  • Proven experience with the complete model lifecycle, from requirements gathering to production.

Qualifications

  • Data Science Leadership
  • Analytical and critical thinker with a high attention to detail and an ability to instill trust in key stakeholders around accuracy and overall relevance of work.
  • Must understand how to communicate to a non-technical audience with skills that encourages participation and brings clarity to highly complex work.
  • Demonstrated ability to creatively think outside of the box and look for new ideas around improving company performance and operational efficiency.
  • Expert level ability to drive meetings and work with cross functional teams
  • Strong skills around execution and demonstrated ability to hit timelines.
  • Fully independent decision-making skills that lead to minimal rework and trust within the organization.


Leadership Responsibilities

Prior leadership experience is a plus. Expectations will be focused on intern management and the ability to lead high impact consulting services and other partnerships.

Education and Experience Requirements

  • Master’s degree in a quantitative field (computer science, physics, mathematics, statistics, engineering, bioinformatics, business or policy analysis, etc.) with an emphasis on predictive modeling.
  • 7+ years of professional experience in an analytical role.
  • Healthcare insurance background/experience are helpful, but not required

Additional Information


Integrity Marketing Group, LLC is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. In addition, Integrity Marketing Group, LLC will provide reasonable accommodations for qualified individuals with disabilities.

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