Data Scientist II

Job not on LinkedIn

🔥 0 minutes ago

❄️ Minnesota – Remote

❄️ Minnesota – Remote

💵 $95.1k - $142.6k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Strategic Education, Inc

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1998

📚 Education

🤝 B2B

🏢 Enterprise

Education • B2B • Enterprise

Strategic Education, Inc. is a leader in creating innovative and career-relevant learning experiences designed to prepare learners for the workforce. With over 130 years of experience, the company partners with more than 1,300 employers across the U. S. and educates over 100,000 students globally. Strategic Education offers customized workforce solutions ranging from tuition assistance to accredited degree courses, non-degree skill pathways, and coding schools. It has a strong focus on addressing evolving skills gaps and fostering employee career growth through dynamic learning environments. The company operates reputable institutions like Strayer University, Capella University, and the Jack Welch Management Institute, among others, emphasizing the importance of education in driving economic mobility and empowering individuals.

📋 Description

• Deliver measurable business impact using machine learning and GenAI/LLM-driven solutions • Improve operational performance through scalable, production-ready analytics • Develop and maintain Power BI reports and dashboards for data-driven business decisions • Identify and implement high-value GenAI use cases across the organization • Analyze and integrate large, complex datasets from multiple sources • Design, build, and deploy machine learning models and LLM-powered solutions • Develop GenAI use cases including text classification, embeddings, summarization, and decision-support tools • Productionize models using CI/CD pipelines and orchestrate workflows with Airflow DAGs • Monitor model performance and support documentation, governance, reliability, and ongoing maintenance • Translate analytical findings into actionable insights for technical and non-technical audiences • Build visualizations to track KPIs, trends, and model outcomes • Partner with stakeholders to identify advanced analytics and AI adoption opportunities • Apply data validation and quality checks • Support ethical AI practices, data privacy, and governance standards • Mentor junior data scientists and contribute to team best practices

🎯 Requirements

• 3+ years of experience in data science, advanced analytics, or a related field • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field required • Strong proficiency in SQL and Python, or R • Hands-on experience developing and deploying machine learning models • Experience with Generative AI and LLMs, including prompting, embeddings, and NLP-related use cases • Experience with CI/CD pipelines, Airflow, and workflow orchestration • Strong experience with Power BI or similar data visualization tools • Excellent analytical and problem-solving skills with strong attention to detail • Strong data intuition and ability to identify patterns, anomalies, and meaningful insights • Ability to communicate complex analytical and AI concepts to technical and non-technical audiences • Experience with version control tools such as Git and collaborative development practices • Ability to work independently in ambiguous environments • Proven experience building and deploying machine learning solutions in production • Experience applying statistical analysis and predictive modeling • Ability to travel occasionally if business needs arise • Ability to work more than 40 hours per week when business needs warrant • Ability to access information using a computer • Preferred: experience with AWS, Azure, or GCP • Preferred: experience operationalizing LLM-based solutions in production • Preferred: familiarity with MLOps and model lifecycle management • Must meet critical-thinking and problem-solving requirements and communicate effectively with co-workers

🏖️ Benefits

• Medical, dental, vision, life and disability plans • Well-being incentives • Parental leave • Paid time off • Certain paid holidays • Tax saving accounts (FSA, HSA) • 401(k) retirement benefit • Employee Stock Purchase Plan • Tuition assistance • Entertainment and retail discounts • Overtime pay for eligible non-exempt employees • Reasonable accommodations in accordance with ADA policies