Senior Data Scientist

2 weeks ago

McLean, United States Integriant Ventures Insurance Services, Inc. Full time
Job DescriptionJob Description

Summary/objective

You will leverage statistical analysis, forecasting methods, product development, data visualization, and storytelling in this role. Day-to-day work will balance working as part of an enterprise-wide, cross-functional team and evolving long-term infrastructure and resources that increase operational resiliency over time.


Essential Functions

Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.


  • Partner with stakeholders across Marketing, Sales, Operations, Engineering, Growth, and Finance to derive requirements, scope data services/systems and drive results
  • Lead end-to-end process including conception, development, production, deployment, and monitoring of data and machine learning models and services
  • Lead the team's work on pricing, recommendation, lead scoring, and customer retention
  • Provide technical leadership to other scientists/engineers working on data analytics projects and deliverables aiming at increasing customer LTV, targeted marketing, retention, and profitability
  • Manage data flows between all SaaS products and the data lake
  • Manage Data Pipelines to pipe operational data into AWS S3 Data Lake
  • Work with the Company's data analytics team to produce reliable reporting
  • Work on developing ML models for Customer LTV, Churn, and profitability
  • Work with marketing to develop models/algorithms for targeting optimal customer

Competencies

  • Strong written and oral communication skills
  • Excellent analytical aptitude
  • Ability to quickly master a variety of software platforms
  • Highly organized and the ability to multitask
  • Experience working in a fast-paced, team-oriented, and deadline-oriented environment



Supervisory Responsibilities

None


Work environment

None. The worker is not substantially exposed to adverse environmental conditions as in a typical home office.



Physical Demands

Fingering; Hearing; Talking; Sedentary work; Grasping; Repetitive motions; The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.



Travel required

None


Required education and experience

3-5 years of experience in the following:

  • Prior experience applying machine learning to real-world data problems (targeting, pricing, recommendation, personalization, etc.) and deploying and scaling models into a production environment
  • Strong fundamentals in algorithms, statistics, and predictive modeling
  • Machine Learning (Supervised, Unsupervised, Deep Learning, Bagging, Boosting techniques)
  • Excellent Python skills and experience with ML libraries or platforms
  • AWS Cloud Technologies for ML/AI

Work authorization/security clearance requirements

Must be a U.S. Citizen


Other duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time, with or without notice.

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