I'm looking for Data Scientist positions in Los Angeles, specifically in the public health sector, with at least 2 years of experience in machine learning and predictive analytics, offering a salary starting at $113,000.

I've found 45 Data Scientist positions in Los Angeles within the public health sector, requiring 2+ years of experience in machine learning and predictive analytics, and offering salaries starting at $113,000. You can check them out now.

Data Scientist

Los Angeles, CA

Public Health

2 years + Experience

$113000+

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

Sure. Here's the analysis:

Job Analysis:

The primary purpose of the Data Scientist role with the County of Los Angeles involves leveraging complex data analysis to inform decision-making processes within the Public Health department. This entails the development and application of statistical and machine learning methods to analyze both structured and unstructured data sets, culminating in actionable insights that can shape public health initiatives. Key responsibilities include collaborating with various stakeholders to define data science projects from inception to execution, conducting exploratory data analyses, implementing advanced modeling techniques, and conveying findings through effective visualizations. Success in this role hinges not only on the ability to synthesize and analyze data but also on translating complex statistics into understandable insights that drive strategic decisions at multiple organizational levels. Challenges may arise in aligning the technical requirements of data projects with the diverse needs of department stakeholders and in ensuring that analyses remain actionable amidst evolving public health landscapes. A successful candidate will demonstrate expertise in data extraction, statistical analysis, and effective communication, navigating the intricacies of bureaucratic structures while championing data-driven approaches to public health management.

Company Analysis:

Lensa operates within the intersection of technology and human resources, positioning itself as a leader in transformative career platforms. As a company that utilizes machine learning to reduce time and costs in the recruitment process, it emphasizes the importance of aligning skills, goals, and personality traits between candidates and potential employers. The company is characterized by a commitment to innovation, making it crucial for candidates to be agile and forward-thinking. Expect a culture that values data-driven decision-making, collaboration, and a people-centric approach to job placement, reflective in its mission to take the stress out of job searching. This particular role within the County of Los Angeles Public Health department stands out as a unique opportunity to contribute to an organization that emphasizes anti-racism, diversity, and inclusion, reflecting broader societal values in its operations. The Data Scientist position sits within a structured government framework, likely involving close collaboration with IT teams, public health officials, and at times, members of the community, requiring both technical and interpersonal skills to thrive. As the County works to integrate advanced data methodologies into public health strategies, this position serves as a vital link to achieving those larger health objectives within the community, emphasizing the need for candidates to align their expertise with the mission-driven ethos of public service.

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 convey complex data findings to a non-technical audience. How did you ensure they understood?
Describe an instance where you collaborated with multiple stakeholders to define the scope of a data science project. What challenges did you face?
Can you share an experience where you utilized machine learning to solve a business problem? What was the outcome?
What steps would you take to identify the right data sources for a new public health initiative?
How would you handle a situation where the insights from your data analysis contradicted the expectations of your department?
Imagine you are tasked with developing a predictive model for public health outcomes based on historical data. What key factors would you consider?
If you discovered anomalies in the data you were analyzing, what process would you follow to ensure accurate conclusions?
Why are you interested in working for the County of Los Angeles specifically in this Data Scientist role?
How do your personal values align with the mission of the County to promote diversity and inclusion?
What are the most significant challenges you foresee in applying data science within the healthcare industry?
Can you describe your experience with tools or programming languages used for data visualization? Which do you prefer and why?
What techniques might you use to validate the results of your machine learning models?
What aspects of the County of Los Angeles’ approach to public health appeal to you the most?
How do you envision contributing to the enhancement of the department's analytic capacity over the next year?
What questions do you have about the kinds of projects the Data Science team currently handles?

Job Details

Overview Company

Data Scientist

$113.1k/y-$152.4k/y

Lensa

11 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, performing advanced statistical analyses, and presenting findings to support business decisions. You will work with large and complex data sets, collaborate with IT staff on data systems, and develop advanced analytic products. The role also involves mentoring lower-level analysts and ensuring the quality of their work.

About You

Required:

Two years of experience applying machine learning, predictive analytics, data management, and hypothesis-driven data analysis to produce actionable recommendations.
Ability to communicate findings effectively to both technical and non-technical audiences.

Preferred:

Additional experience beyond the selection requirements.

Lensa

What if we could take the search out of job search? This is the question Lensa has been answering since launching in San Francisco, California in August 2016. Using machine learning, we instantly provide companies with candidates and match professionals with positions that fit their skills, goals, personalities, and needs. How does it work? Lensa applies complex algorithms that identify the skills needed to succeed on a given job. Candidates can play computer games that assess their work style, thus gaining insight into their strengths while unlocking career opportunities. The result: job search that puts people first while reducing the time and cost of talent acquisition.

Lensa passed 10 million job seeker registrations in 2019, making the com- pany one of the premier career platforms.

With teams in multiple U.S. locations and a 60-strong crew of developers and data scientists at its R & D headquarters in Europe, Lensa is working every day to share its transformative career technology with the world.

Los Angeles, CA