Search for remote Data Scientist roles that require 5+ years of experience, have strong proficiency in Python and SQL, focus on healthcare industry, and are fully remote.

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Data Scientist

5 years + Experience

Python

SQL

Healthcare

Remote

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

Sure. Here's the analysis:

Job Analysis:

The primary objective of the Remote Data Scientist role at Insight Global is to enhance and support an AI-powered knowledge assistant that is instrumental in delivering real-time, intelligent responses across multiple data sources. The role involves critical responsibilities like developing data pipelines, designing algorithms for improved search relevance, and integrating NLP features into the platform. Candidates will navigate challenges such as ensuring data quality and optimizing system performance while collaborating with cross-functional teams. Success in this position requires not only technical proficiency in data science tools like Python and SQL but also the ability to think strategically about how data can improve customer support experiences. An ideal candidate will demonstrate innovation in applying AI technologies to real-world problems, showcasing an understanding of both technical implementation and user-centric design in support of the customer service objectives of the healthcare industry.

Company Analysis:

Lensa operates at the intersection of technology and human resources, positioning itself as a pioneering career platform that leverages machine learning to streamline job searches and talent acquisition. As a company committed to innovation and inclusivity, Lensa has successfully attracted a wide user base, becoming a trusted resource for job seekers. The culture appears to emphasize collaboration, diversity, and a strong commitment to creating environments where employees can be authentic. For the Remote Data Scientist role, this environment will likely need individuals who are adaptable, eager to embrace new technology, and capable of working in a remote setting. The role fits into the company's mission to transform the job search landscape, directly contributing to the development of tools that enhance user experiences. As Lensa continues to grow, this position may offer significant visibility to leadership and potentially shape product roadmap decisions.

Mock up some interview questions based on the job description.

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

Behavioral Questions
1. Tell me about a time when you had to handle a complex data integration task. What challenges did you face, and how did you resolve them?
1. Describe a situation where you had to collaborate with team members from different departments. How did you ensure effective communication?
1. Can you provide an example of a project where you utilized AI to solve a real-world problem? What was the outcome?
1. Share a time when you encountered a significant error in your data analysis. How did you handle it, and what did you learn from the experience?
Technical/Role-Specific Questions
1. What approach do you take to ensure data quality when working with multiple data sources?
1. How do you integrate Python and SQL in your workflow? Can you provide an example?
1. Explain your experience with Google Cloud Platform and how you've utilized it in data science projects.
1. What techniques do you use in prompt engineering for Generative AI applications?
Situational Questions
1. Imagine you are faced with inconsistent data coming from different sources. How would you address this issue to ensure accurate results?
1. If you discover that your algorithm is underperforming in terms of search relevance, what steps would you take to improve it?
Company Fit/Motivation Questions
1. Why are you interested in working for Lensa specifically, and how does it align with your career goals?
1. How do you interpret Lensa's commitment to inclusivity, and why do you think it's important in the context of technology and data science?
Questions for the Candidate to Ask the Interviewer
1. Can you describe the team dynamic and how data scientists collaborate with other departments?
1. What future initiatives does Lensa have in mind for improving its AI capabilities, and how would this role contribute?
1. How does Lensa measure the success of its data science team, and what performance metrics are used?

Job Details

Overview Company

Data Scientist

Lensa

a day ago

Highlight

RemoteFull-time5+ yearsMid

Summary

Lensa is seeking a Remote Data Scientist for Insight Global to support and enhance an AI-powered knowledge assistant tool.

About the Role

As a Data Scientist, you will develop and maintain data pipelines integrating with 15+ systems, design algorithms to improve search relevance and response accuracy, and leverage tools like Python, SQL, BigQuery, and Excel within a Google Cloud Platform environment. You will collaborate with cross-functional teams to implement NLP and GenAI features, ensure data quality through unit testing and software engineering best practices, and contribute to improving the customer support experience through data-driven insights and innovation.

About You

Required:

5-10 years of professional experience in data science.
Strong proficiency in Python for data analysis, automation, and AI integration.
Experience with SQL for querying and managing large datasets.
Excel for data manipulation and reporting.
Hands-on experience working with Google Cloud Platform.
Experience with BigQuery.
Background in software engineering and unit testing.

Preferred:

Experience with Generative AI and prompt engineering.

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.

Hartford, CT