
5001 - 10000 employees
Founded 1998
đ Education
đ¤ B2B
đ˘ 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.
đĽ 0 minutes ago
âď¸ Minnesota â Remote
đľ $95.1k - $142.6k / year
â° Full Time
đ˘ Junior
đĄ Mid-level
đ Manager
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5001 - 10000 employees
Founded 1998
đ Education
đ¤ B2B
đ˘ 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.
⢠Leads, mentors, and develops a team of Data Scientists and analytics professionals ⢠Provides technical guidance, career development, and performance feedback ⢠Balances people leadership with hands-on contributions, dedicating approximately half of the time to analytics, machine learning, and AI solution development ⢠Establishes team standards, workflows, and best practices ⢠Partners with business stakeholders to identify and prioritize high-value analytics and AI opportunities aligned with organizational goals ⢠Guides the design, development, deployment, and operationalization of machine learning and LLM-powered solutions ⢠Drives Generative AI use cases such as summarization, classification, embeddings, and decision support ⢠Enables scalable deployment through CI/CD pipelines, Airflow orchestration, and MLOps practices ⢠Ensures model performance, governance, and reliability ⢠Translates analytical outcomes into actionable business insights ⢠Builds executive-ready dashboards and data storytelling capabilities using Power BI or similar tools ⢠Collaborates cross-functionally with Engineering, Product, IT, and business teams ⢠Promotes responsible AI and data governance practices ⢠Drives process improvements and operational efficiencies ⢠Supports hiring and onboarding ⢠Fosters a collaborative, innovative, and continuous learning culture across the team
⢠5+ years of experience in data science, advanced analytics, AI, or related fields ⢠1+ years of people leadership, technical leadership, or team lead experience preferred ⢠Proven experience delivering production-grade ML or AI solutions ⢠Experience leading cross-functional analytics initiatives ⢠Experience operationalizing GenAI or LLM-based applications preferred ⢠Strong leadership and team management skills with the ability to mentor and develop high-performing analytics teams ⢠Expertise in machine learning, statistical modeling, and advanced analytics techniques ⢠Hands-on experience with Generative AI, Large Language Models (LLMs), and related use cases (e.g., summarization, classification, retrieval, embeddings) ⢠Proficiency in Python (preferred), SQL, and data manipulation frameworks (e.g., pandas, NumPy) ⢠Experience with ML frameworks and libraries (e.g., scikit-learn, LightGBM, TensorFlow, PyTorch) ⢠Knowledge of MLOps practices, including model deployment, monitoring, CI/CD pipelines, and workflow orchestration (e.g., Airflow) ⢠Experience working with cloud platforms (e.g., GCP, Azure, AWS) for scalable analytics and AI solutions ⢠Strong data visualization and storytelling skills using tools such as Power BI, Tableau, or similar platforms ⢠Ability to translate complex analytical and AI concepts into clear, actionable business insights ⢠Strong problem-solving and critical thinking skills with a data-driven mindset ⢠Effective stakeholder management and cross-functional collaboration skills ⢠Understanding of data governance, responsible AI practices, and data privacy standards ⢠Ability to manage multiple priorities and drive initiatives in a fast-paced environment
⢠Health insurance ⢠Dental and vision plans ⢠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
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