Endevor is seeking a highly organized, proactive, and detail-oriented Administrative Assistant to provide comprehensive support to our Senior Leadership Team. This part-time, primarily in-office position is ideal for someone adept at managing multiple priorities, demonstrating excellent communication skills, and maintaining confidentiality with a high level of professionalism. Endevor offers a dynamic and supportive work environment with opportunities for professional growth. As a part-time Administrative Assistant, you will report to our Office Administrator and play a crucial role in supporting our Senior Leadership Team and ensuring the smooth operation of our office.

Skills and Requirements

• Proven ability to efficiently manage multiple tasks and projects
• Strong verbal and written communication capabilities
• Exceptional attention to detail and accuracy
• Excellent time management skills and ability to prioritize tasks effectively
• Proficiency in office software (e.g., Microsoft Office suite) and technology tools
• Ability to build and maintain positive relationships with colleagues
• Strong problem-solving skills and resourcefulness
• Flexibility to adapt to changing priorities and demands
• Physical capability to lift small to medium-sized packages and carry items up steps
• Possesses a reliable mode of transportation and willing to drive as needed
• Availability to work approximately 20 hours a week

Key Responsibilities

• Overseeing office logistics and ensuring smooth operations
• Running various errands for Senior Management, including collecting and delivering documents and packages
• Greeting and welcoming guests, providing a friendly and professional first impression
• Making reservations and ordering lunch
• Answering and managing phone calls
• Receiving and signing for packages
• Stocking the snacks and beverages for the office
• Arranging travel bookings for employees
• Assisting with event logistics

Endevor is hiring data science interns! We’re looking for college students or recent graduates looking to grow their experience in developing software tools that apply best practices in machine learning, optimization, generative artificial intelligence (AI), and/or data visualization. As a Data Science Intern at Endevor, you will work both independently and as part of a growing cross-functional team on multi-phased data science projects from concept through development, validation, integration, and rollout.   

As an intern you will have the opportunity to build your data science and programming skills. With data science becoming a key driver in Endevor’s ongoing growth, you will also help shape the company’s data science approach and best practices. Our interns are assigned similar work to our full-time employees and coached every step of the way to gain valuable hands-on experience while contributing to real projects and products.   

All of our employees (including interns!) are expected to perform some level of analysis on project work assigned — this could range from breaking down a complex business process into data science and software development tasks, to planning out the appropriate technical approach to solving a problem.  As you grow and mature at Endevor, career path options include technical leadership, implementation leadership, and product owner/manager options. 

Skills and Requirements 

• Data Science Focus – Passion for making sense of complex data and building high-quality analytic tools that can help others make data-informed decisions 

• Technical Proficiency – Thorough understanding of fundamental statistics, as well as experience with one or more of the following: data management, data visualization, machine learning, optimization, and large language models  

• Critical Thinking – Keen interest in scientific inquiry, analytical thinking, continuous learning, and evidence-based decision making 

• Initiative and Cooperation – Self-motivated, detail-oriented, responsible team-player with exceptional relationship management skills 

• Effective Communication – Ability to communicate technical concepts to non-technical stakeholders 

• Education and Training – Pursuing a Bachelor’s degree (or higher) in Data Science, Computer Science, System Analytics, Applied Statistics, or a related field 

Key Responsibilities  

The responsibilities of an intern are similar to those of an entry-level analyst, and they include the following: 

• Data Analysis and Modeling – Conduct data analysis on large, loosely structured datasets; define numerical representations of real-world customer problems for predictive modeling and optimization applications; and train models to uncover valuable insights that can inform product decisions and improve the user experience. 

• Feature Development – Design, analyze, implement, and continuously improve product features that apply data science to enhance the user experience and provide actionable insights. Develop, maintain, and manage code that operationalizes data science tools, in ways that can be re-used in future products and features. 

• Technical Reviews, Testing, and QA – Review work performed by other members of the data science team and provide constructive feedback and ideas; analyze, develop, and implement testing procedures, programming, and documentation. 

• Technical Research and Skill Development – Find and utilize external resources to improve knowledge and skills in data science fundamentals and applications; as appropriate, share new knowledge with the team and company, and employ that knowledge in technical work. 

Additional Valued Experience 

• Experience performing data science projects from problem identification through working prototype, product development, and deployment 

• Deep technical experience in one or more of the following data science areas: 

• Advanced data visualization techniques 

• Machine learning, including regression, classification, and association modeling 

• Numerical optimization, specifically in integer and mixed-integer programming 

• Natural language processing (NLP), generative AI, and large language models (LLMs) 

• Proficiency in programming with one or more of the following languages and tool sets: 

• Python, including numpy, pandas, and scikit-learn libraries 

• C# and Microsoft Azure tools 

• Version and environment control tools (e.g., Git, Docker) 

• Ability to debug software, including identification and implementation of performance improvements