Search for Data Scientist roles in Minneapolis, offering remote work, with a focus on healthcare AI ethics, and 3+ years of experience in machine learning.

Okay, I've searched for Data Scientist roles in Minneapolis that offer remote work and emphasize healthcare AI ethics, requiring 3+ years of experience in machine learning. I found 47 positions that match your criteria.

Data Scientist

Minneapolis, MN

Remote

Healthcare

3 years + Experience

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

Sure. Here's the analysis:

Job Analysis:

The Data Scientist role is fundamentally designed to leverage data science skills in a unique intersection of healthcare, AI ethics, and regulatory compliance. Core responsibilities hinge on bridging communication between diverse teams such as legal and compliance with technical AI development teams, underscoring the importance of a multi-disciplinary approach. Candidates must document findings, create impactful reports, and design best practice guides for responsible AI—showcasing that effective communication and ethical considerations are paramount. Beyond technical prowess in Python and machine learning frameworks, success in this role hinges on the ability to navigate and mitigate risks related to PII/PHI exposure, demanding a nuanced understanding of ethical AI usage. The position requires fostering a continuous learning environment through mentorship, thus adding a leadership component to technical skills. Performance metrics will likely include the efficacy of the AI models developed, successful communication of complex ideas to stakeholders, and the enhancement of the organization's testing methodologies within the healthcare AI landscape.

Company Analysis:

Jobs via Dice operates within a vibrant tech job market, acting as a facilitator for companies seeking tech talent. The emphasis on tailored opportunities and career resources hints at a culture steeped in support for continuous growth and innovation, ideal for a candidate striving for personal and professional development. In this context, the Data Scientist role will likely demand agility and adaptability, as the tech landscape evolves rapidly. The nature of this position suggests collaboration across multiple functions, indicating an organizational structure that values cross-functional teamwork and diverse perspectives. With the role focused on AI in healthcare, it aligns closely with the company’s ambition to empower technology through ethical considerations, reflecting a mission-oriented culture. Being remote offers flexibility, yet candidates should prepare for challenges in fostering relationships and ensuring alignment across disparate teams and stakeholders.

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 communicate complex technical information to a non-technical audience. How did you ensure understanding?
Can you describe a challenging data project you've worked on? What steps did you take to complete it successfully?
Give an example of a situation where you had to address ethical considerations in your data analysis. How did you approach it?
Describe a time when you had to mentor a colleague. What was your approach, and what outcomes did you see?
How would you approach designing job aids for best practices in responsible AI?
Explain your process for automating testing processes using Python. What tools or libraries did you use?
What specific methodologies do you employ when dealing with NLP models? Can you provide a relevant example?
Imagine you discover a vulnerability related to PII/PHI exposure in an AI interaction. How would you address this issue with your team?
Why are you interested in working at Jobs via Dice specifically, and how do you align with the values that the company promotes?
What do you see as the biggest ethical challenge facing AI in healthcare right now, and how would you approach it?
How do you stay up-to-date with the latest developments in AI/ML research, and how would you incorporate new findings into your work?
What is your experience with regulatory frameworks relevant to AI in healthcare? Can you provide examples?
What questions do you have about the collaboration process between the Data Science team and other functions like legal and compliance?
How does your background in healthcare systems contribute to your success in data science projects?
What are the key components you would consider when designing a Red Team testing scenario for conversational AI systems?

Job Details

Overview Company

Data Scientist

$54/h-$67.50/h

Jobs via Dice

2 days ago

Highlight

RemoteContractor3+ yearsMid

Summary

Randstad Digital is seeking a Data Scientist to join their team remotely. The role involves applying data science skills at the intersection of healthcare, AI ethics, and regulatory compliance.

About the Role

As a Data Scientist, you will communicate with diverse teams including legal, compliance, and AI development. You will document findings, create reports, and present results to stakeholders. Your responsibilities include designing job aids for responsible AI, developing Python scripts for testing automation, identifying vulnerabilities related to PII/PHI exposure, maintaining test data sets, staying updated on AI/ML research, providing mentorship, and assisting in Red Team testing scenarios for conversational AI systems.

About You

Required:

BS degree plus 3+ years equivalent experience in computer science, applied mathematics, applied statistics, or similar quantitative fields of study.
3+ years of experience with the full ML system development, deployment, and maintenance lifecycle.
3+ years of experience working with advanced NLP models and methodologies.
3+ years of experience with Python and ML frameworks (e.g., scikit-learn, Pandas, Numpy).
Deep understanding of ethical considerations and fairness in AI model development.
Strong analytical thinking and problem-solving abilities.
Excellent written and verbal communication skills.

Preferred:

Familiarity with healthcare systems including claims payment, call centers, or claims-based research.
Proven ability to translate business needs and requirements into technical solutions.
Proven ability to collaborate effectively with cross-functional teams, including product managers, data scientists, and business stakeholders.
Experience working with large language models or conversational AI systems.
Familiarity with prompt engineering and adversarial testing methodologies.
Exposure to regulatory frameworks relevant to AI in healthcare.
Basic understanding of information security principles.

Benefits

Comprehensive benefits package including medical, prescription, dental, vision, AD&D, and life insurance offerings.
Short-term disability.
401K plan (all benefits are based on eligibility).

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Minneapolis, MN