Senior Data Scientist, Analytics & Reporting; Hybrid

Los Angeles Regional Reentry Partnership

HybridCareer-pivot friendly

Why this role

Pace

Steady

The work environment is likely to be fast-paced, given the need to oversee multiple data science projects and improve data quality in a timely manner.

Collaboration

Medium

Collaboration is a key aspect of this role, as the Senior Data Scientist will need to work closely with various teams to improve data quality and insights, and to automate reporting processes.

Autonomy

Medium

This role offers a high degree of autonomy, as the Senior Data Scientist is expected to lead data analytics efforts and manage projects independently.

Decision Impact

Team

Decisions made by the Senior Data Scientist can have a significant impact on the organization's ability to address homelessness through improved data insights and reporting.

Role Level

Individual Contributor

The complexity of the role is high, requiring advanced skills in statistical programming, machine learning, and project management to effectively lead data science projects.

Career Pivot Friendly

Welcomes transferable skills

Individuals with experience in data-driven roles, such as data analysts or machine learning engineers, can easily transition into this role due to the strong overlap in required skills.

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

Oversee data science projects related to homelessness
Improve data quality and insights

Typical background

2 years of experience in data science

Transferable backgrounds

Coming from Data Analyst at a tech company
statistical programming · data analysis
The experience in statistical programming and data analysis from a tech company background can be directly applied to improving data quality and insights in this role.
Coming from Machine Learning Engineer at a startup
machine learning · project management
The skills in machine learning and project management from a startup environment are highly relevant for leading data science projects and automating reporting processes.

Skills & requirements

Required

Statistical ProgrammingMachine LearningProject ManagementData Quality ImprovementAutomation Of Reporting Processes

Preferred

Master’s Degree In A Relevant Field

Stack & domain

Statistical ProgrammingMachine LearningProject ManagementGovernmentHomelessness

About the role

The Senior Data Scientist at Los Angeles Regional Reentry Partnership plays a pivotal role in enhancing data quality and insights, particularly in addressing homelessness, through advanced analytics and automation. This position is ideal for someone with a strong background in statistical programming and a passion for leveraging data to drive meaningful social impact.

Original posting from Los Angeles Regional Reentry Partnership

Position: Senior Data Scientist, Analytics & Reporting (Hybrid)
A county government department in Los Angeles seeks a Senior Data Scientist to lead data analytics efforts. This role involves overseeing data science projects related to homelessness, improving data quality and insights, and automating reporting processes. Candidates should possess advanced skills in statistical programming, machine learning, and project management. A Bachelor's degree in a relevant field is required, along with two years of experience in data science.
This position offers a hybrid working model.
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Source: Los Angeles Regional Reentry Partnership careers