- 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
- 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
- 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
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Senior Data Scientist - McLean, United States - Integriant Ventures Insurance Services, Inc.
![Integriant Ventures Insurance Services, Inc.](https://contents.bebee.com/public/img/noimg-businessx400.jpg)
1 week ago
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Description
Job Description
Job DescriptionSummary/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.
Competencies
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:
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.