Data Scientist - AI/ML Specialist

Ride The Next Wave; Minneapolis (MN); On-site; USD 110,000 - 145,000; Full time

Job summary

A technology consulting firm in Minnesota is seeking a Data Scientist passionate about AI. This role involves developing machine learning models and collaborating with teams to create impactful data products. Ideal candidates will have extensive experience in data science and strong communication skills.

Benefits

Partnership opportunity with equity potential

Professional development and learning budget

Qualifications

• 3+ years of data science experience with proven track record.
• Hands-on experience with Large Language Models (LLMs).

Responsibilities

• Develop and implement machine learning models for client projects.
• Collaborate with cross-functional teams to deliver AI-driven solutions.

Skills

Python

SQL

Machine Learning

Communication

Education

Relevant educational background

Tools

AWS

Azure

GCP

Job description

Direct message the job poster from Ride The Next Wave

We're a technology consulting firm breaking traditional consulting patterns. We help organizations catch the next wave of innovation through rapid prototyping, AI implementation, and digital transformation. Located in Minnesota, we're building a team that challenges conventional thinking and delivers measurable business outcomes.

Position Overview

We're seeking a curious and innovative Data Scientist who is passionate about AI and its implementations. This role combines advanced data science with cutting-edge AI/ML technologies, offering the unique opportunity to become a partner in our growing firm.

Key Responsibilities

• Develop and implement machine learning models and algorithms for diverse client projects

• Design and build LLM-based solutions for business applications

• Create data products that drive measurable business impact

• Conduct exploratory data analysis and statistical modeling

• Transform complex datasets into structured, actionable insights

• Collaborate with cross-functional teams to deliver AI-driven solutions

• Stay current with emerging AI technologies and implement best practices

• Communicate technical concepts to non-technical stakeholders

Required Qualifications

• 3+ years of data science experience with proven track record

• Strong proficiency in Python, SQL, and machine learning frameworks

• Hands-on experience with Large Language Models (LLMs)

• Deep understanding of AI algorithms and their implementations

• Experience with cloud technologies (AWS, Azure, or GCP)

• Proven ability to deliver end-to-end data science projects

• Excellent communication and presentation skills

• Relevant educational background or equivalent practical experience

• Must reside in the Greater Minneapolis-St. Paul area

Preferred Qualifications

• Experience with predictive modeling or forecasting

• Knowledge of MLOps and model deployment practices

• Experience building data visualizations and dashboards

• Background in product development or startup environment

• Experience with conversational AI and chatbot development

What We Offer

• Partnership opportunity with equity potential

• Opportunity to work on diverse, challenging projects

• Direct impact on company growth and direction

• Professional development and learning budget

Our Culture

• Always Curious - We embrace continuous learning

• Always Fearless - We take calculated risks for innovation

• Always Transparent - We believe in open communication

Location: On-site at our Minneapolis office

Application Requirements

Please submit:

• Resume highlighting relevant AI/ML projects
• Portfolio of data science work or GitHub profile
• Brief explanation of your most impactful AI implementation

Join us in riding the next wave of AI innovation!

Note: Candidates must reside in the Greater Minneapolis-St. Paul area to be considered for this position.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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