Data Scientist II

This is a fully remote position, open to applicants in Minnesota.

📋 Description

• Drive significant business outcomes utilizing machine learning and GenAI/LLM-driven solutions.

• Enhance operational efficiency through scalable and production-ready analytics.

• Create and sustain Power BI reports and dashboards to facilitate data-driven business decisions.

• Discover and execute high-value GenAI use cases throughout the organization.

• Analyze and merge large, intricate datasets from various sources.

• Design, construct, and implement machine learning models and LLM-powered solutions.

• Develop GenAI applications such as text classification, embeddings, summarization, and decision-support tools.

• Productionize models via CI/CD pipelines and manage workflows using Airflow DAGs.

• Monitor model performance while aiding in documentation, governance, reliability, and ongoing maintenance.

• Convert analytical findings into actionable insights for both technical and non-technical stakeholders.

• Create visualizations to monitor KPIs, trends, and model results.

• Collaborate with stakeholders to pinpoint opportunities for advanced analytics and AI adoption.

• Implement data validation and quality assurance checks.

• Advocate for ethical AI practices, data privacy, and governance standards.

• Mentor junior data scientists and contribute to the establishment of team best practices.

⛳️ Requirements

• A minimum of 3 years of experience in data science, advanced analytics, or a related domain.

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or another quantitative discipline is required.

• Strong expertise in SQL and Python, or R.

• Practical experience in developing and deploying machine learning models.

• Familiarity with Generative AI and LLMs, including prompting, embeddings, and NLP-related applications.

• Experience with CI/CD pipelines, Airflow, and workflow orchestration.

• Extensive experience with Power BI or comparable data visualization tools.

• Exceptional analytical and problem-solving abilities with a keen attention to detail.

• Strong data intuition and capability to recognize patterns, anomalies, and valuable insights.

• Ability to convey complex analytical and AI concepts to both technical and non-technical audiences.

• Experience with version control systems such as Git and collaborative development methodologies.

• Capacity to work independently in uncertain environments.

• Proven track record of building and deploying machine learning solutions in production.

• Experience in applying statistical analysis and predictive modeling.

• Willingness to travel occasionally as business needs require.

• Ability to work over 40 hours per week when necessary for business operations.

• Capability to access information using a computer.

• Preferred: experience with AWS, Azure, or GCP.

• Preferred: experience in operationalizing LLM-based solutions in a production environment.

• Preferred: familiarity with MLOps and model lifecycle management.

• Must meet critical-thinking and problem-solving criteria and communicate effectively with colleagues.

🏝️ Benefits

• Medical, dental, vision, life, and disability insurance plans.

• Well-being incentives.

• Parental leave.

• Paid time off.

• Certain paid holidays.

• Tax-advantaged accounts (FSA, HSA).

• 401(k) retirement benefits.

• Employee Stock Purchase Program.

• Tuition assistance.

• Discounts on entertainment and retail.

• Overtime pay for eligible non-exempt employees.

• Reasonable accommodations in line with ADA policies.