I'm looking for Data Scientist roles in Los Angeles, CA, with a focus on machine learning and predictive analytics. I have 2+ years of experience and would prefer full-time positions that pay over $113,000 annually.

Okay, I've searched for Data Scientist roles in Los Angeles, CA, focusing on machine learning and predictive analytics, with a preference for full-time positions and a salary of over $113,000 annually. I have found 57 positions that match your criteria.

Data Scientist

Los Angeles, CA

machine learning

predictive analytics

2 years + Experience

$113000+

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The role of a Data Scientist at the County of Los Angeles, particularly within the Department of Public Health, emphasizes the application of statistical methodologies and machine learning techniques to derive actionable insights from complex data sets. Fundamentally, this position is designed to enhance data-driven decision-making across various programs by transforming raw data into structured, digestible insights that inform policy and operational strategies. Key responsibilities include collaborating with internal stakeholders to outline business problems, managing data science projects from inception to completion, and utilizing methods such as predictive modeling and data visualization to communicate findings effectively. Therefore, successful candidates will be adept at navigating the intricacies of both structured and unstructured data, contributing innovative analytical approaches, and ensuring findings are communicated in a way that resonates with both technical and non-technical audiences. As the Department seeks to enhance its analytic capabilities, challenges may arise from ambiguous data quality or the integration of diverse information sources, requiring an agile, solution-focused mindset and strong collaboration skills with both data engineers and stakeholder teams.

Company Analysis:

The County of Los Angeles represents a significant player in the public sector, particularly in health and community services. While not a conventional corporation, its pursuit of data-driven methodologies to enhance public health initiatives demonstrates its commitment to innovation and efficiency in local governance. Given its size and scope, this organization operates in a complex regulatory environment, necessitating a culture that values data integrity, collaboration, and social impact. The work culture appears to be mission-oriented, placing importance on diversity, inclusion, and community service. This is particularly relevant for the Data Scientist role, which is positioned as a collaborative team player engaged with multiple stakeholders. Within this context, the individual is not just an analyst but a crucial part of enhancing the county's strategic goals through improved health service delivery. As such, candidates will need to adapt to a landscape that is both fast-paced and responsive, with impacts that extend to the community at large. The Data Scientist role is strategic; it is intended to not only address existing challenges but also to innovate solutions that can redefine public health outcomes.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to analyze a complex data set. What challenges did you face, and how did you overcome them?
Describe an experience where you collaborated with cross-functional teams to define a data problem. What was your approach, and what outcomes resulted from the collaboration?
Can you give an example of a predictive model you developed? What techniques did you use, and how did it impact the decision-making process?
How do you ensure the quality and integrity of the data you are working with before proceeding with analysis?
How would you approach the task of identifying relevant data sources for a new project in public health?
What statistical techniques are you most proficient in, and how would you apply these to design experiments or analyze health-related data?
Imagine you are given a dataset with missing and inconsistent entries. How would you proceed to clean and structure this data for analysis?
If presented with conflicting feedback from stakeholders on a project you're leading, how would you resolve the discrepancies?
What interests you about working for the County of Los Angeles specifically in the role of Data Scientist?
How do you believe your personal values align with the mission and goals of our organization?
What challenges do you foresee in deploying machine learning models within public sector analytics, and how would you address them?
How do you stay updated with the latest developments in data science and apply those in your work?
What questions do you have about the structure of the Data Science team or the types of projects you'll be involved in?
Could you elaborate on your experience with visualizing data results? Which tools do you prefer for effective communication of insights?

Job Details

Overview Company

Data Scientist

$113.1k/y-$152.4k/y

Lensa

4 days ago

Highlight

OnsiteFull-time2+ yearsEntry

Summary

The County of Los Angeles is seeking a Data Scientist to join their Public Health department in Los Angeles, CA. The role involves developing and applying methods to analyze structured and unstructured data to support data-driven decision-making.

About the Role

As a Data Scientist, you will collaborate with stakeholders to manage data science projects from conception to implementation. Responsibilities include conducting exploratory data analysis, developing model specifications, and performing advanced statistical analyses. You will work with data engineers to design data systems, conduct advanced analytical studies, and present findings to support business decisions. The role also involves developing visualizations, managing experiments, and contributing to advanced analytic products.

About You

Required:

Two years of experience applying machine learning, predictive analytics, data management, and hypothesis-driven data analysis.
Ability to produce actionable recommendations to support data-driven program, policy, and operational decision-making.
Valid California Class C Driver License or the ability to utilize alternative transportation.

Preferred:

Additional experience beyond the selection requirements.

Lensa

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Los Angeles, CA