Data Science Instructor, Experiential Learning (Contract, PT/evening)

Data Science Instructor, Experiential Learning (Contract, PT/evening)

This job is no longer open
Lambda School is on a mission to pioneer a new model of accessible higher education with no upfront costs and where the school invests in the students instead of the other way around.  We are rethinking learning so that we can address the needs of both students and employers in tandem. We’re a progressive alternative to traditional college and fast track bootcamps. Lambda School is an intensive program and an immersive live, online curriculum that teaches people the hard and soft skills they need to launch a new tech career. We offer both full time and part time courses to our students.

Lambda School has successfully completed funding rounds with premier tier venture investors and we have students in almost every State across the United States. We’re looking for passionate, talented people who want to change the way the world thinks about higher education and unlock human potential, regardless of circumstance. 

If that sounds exciting to you, let’s talk.  Our success depends on building teams who can challenge each other's assumptions with fresh perspectives. To that end, we don’t just accept differences – we celebrate them. Lambda School welcomes a diverse pool of applicants, including those from historically marginalized groups and non-traditional backgrounds who can appreciate the diverse student communities that we serve and are looking to grow into. This includes women, people with disabilities, people of color, formerly incarcerated people, individuals who are lesbian, gay, bisexual, transgender, queer and/or gender nonconforming, first and second generation immigrants, veterans, and people from different socioeconomic backgrounds.

The primary goal of the Experiential Learning program at Lambda School is to prepare students for a successful technology career by giving them the experience of designing, implementing, and delivering software products in a highly collaborative work environment. As a member of the Labs team, you’ll focus on creating an exciting and productive working environment for Lambda School students.

The Data Science Instructor provides high-quality data science instruction, critiques, and support to our learners, sets a high quality bar for the products we deliver to our stakeholders, and works with fellow Labs staff to continuously improve the program.

Student teams consist of 8-16 students who collaborate to build software using the knowledge they’ve acquired throughout their Lambda School journey.

Our goal in the Experiential Learning program is to educate students in the practice of designing, implementing, and deploying end-to-end software products inside a cross-discipline product development team.

In addition to directly supporting students, you’ll have an opportunity to facilitate live guided projects, develop curriculum, as well as implement internal products supporting our operations.

Our program and our staff are fully remote. The school operates on Pacific Time and this role covers our part-time learners between 4 PM to 9 PM Pacific.

What you'll do:

    • Train and guide Labs students to demonstrate, discuss and refine their data science skills in a diverse and highly collaborative team environment
    • Collaborate closely with Labs Product, Engineering, and Design Instructors to discover and refine opportunities for student projects
    • Run weekly data science workshops with product teams
    • Provide academic support to learners during PST evening hours in the form of office hours and/or live chat
    • Deliver asynchronous 1:1 feedback to students on their work
    • Continuously improve the Labs product and project frameworks to help instruct students on how to best work within a multidisciplinary team
    • Design, develop, deliver and refine the student curriculum
    • Report on student progress and success throughout their Lambda School journey
    • Provide support to graduates in their job search
    • Communicate and collaborate with Labs staff to ensure learners’ needs are being met

What you'll need:

    • If your highest level of education is a college degree (proof required), you are required to have 3+ years of working experience in a data science role. If your highest level of education is high school or a GED (proof required), you are to have 5+ years of working experience in a data science role.
    • Ability to explain complex technical concepts to a novice; strong empathy for learners
    • Process-oriented with exceptional attention to detail
    • Excellent written and verbal communication skills in English
    • Extremely comfortable and compelling in public speaking situations
    • Strong Python programming skills, and experience with the Python Data Science ecosystem (pandas, numpy, scikit-learn, etc.)
    • Strong subject matter expertise in Data Science—being broadly aware of practices, and knowing at least a few subtopics in depth
    • Takes initiative and proactively solves problems
    • Self-starting with the ability to effectively work autonomously with little oversight
    • Ability to work with a diverse group of individuals
Lambda School is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Lambda School is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or an accommodation due to a disability.
This job is no longer open
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