Sr. Data Scientist, TLM

Overview

On Site
USD 169,000.00 - 188,000.00 per year
Full Time

Skills

TLM
Regulatory Compliance
Roadmaps
Recruiting
Mathematics
Economics
Bioinformatics
Statistics
Computer Science
Management
SQL
Big Data
Apache Hadoop
Apache Spark
Scripting Language
Python
Microsoft Excel
Data Visualization
Tableau
Sarbanes-Oxley
Insurance
Extract
Transform
Load
Project Management
Law
Legal
Collaboration

Job Details

About the Role

Uber is home to one of the largest and most unique insurance programs in the world and insurance data lies at its foundation. We're looking for an experienced manager to lead our critical insurance data infrastructure. This will involve everything from designing new data models and improving existing data processes to expanding the scope of the data program to support Uber's ever-growing portfolio. This team works cross-functionally to ensure our data processes align with industry best practices and stakeholder needs.

What You Will Do

1. Manage a team of 3 to deliver projects on time with high quality
2. Design comprehensive quality checks to facilitate accurate analyses and to ensure Uber's insurance data meets compliance standards
3. Collaborate with data scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines.
4. Collaborate with business leaders to manage project intake, roadmap, prioritize, and manage staffing against key initiatives
5. Partner with internal and external stakeholders, including actuaries, engineers, program managers, and data scientists to identify challenges and opportunities for insurance data models

Basic Qualifications

1. M.S. or Bachelor's degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
2. Minimum 2 years of management experience
3. Proficiency with SQL, Python, big data frameworks (ex. Hadoop, Spark)
4. Proficiency in a scripting language (Python preferred)
5. Experience with Excel and some dashboarding/data visualization (ex. Tableau)

Preferred Qualifications

1. Experience building/maintaining SOX compliant control data environment
2. Basic understanding of insurance concepts and working with insurance loss data
3. Experience with an ETL framework like Airflow
4. Project management skills - Ability to drive projects end-to-end

For New York, NY-based roles: The base salary range for this role is USD$169,000 per year - USD$188,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$169,000 per year - USD$188,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$169,000 per year - USD$188,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [](;br>
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](;br>
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
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