Waitlist: Grader - Data Science Career Track (Part-time/Remote)

The Opportunity:

We’re expanding our Data Science Career Track services to support successful outcomes for our students. Are you passionate about data science, programming, and helping curious data science students master fundamental skills that will lead them to great careers? This position may be for you!

We are looking for a detail-oriented grader to grade projects and exercises that students complete in an online bootcamp course. You will utilize existing materials to assist with grading submissions in a timely manner and provide feedback to students as they proceed through the course. This is a remote, part-time contract role (average of 10-15 hours per week) with a flexible schedule, reporting to the Outcomes Program Manager.

Responsibilities:

• Evaluate student data science projects, primarily code in Jupyter notebooks, against rubrics - these projects cover a variety of fundamental data science skills and concepts with a focus on student acquisition of course content
• Provide written feedback on assignments informed by Springboard’s rubrics and solution sets, feedback will lead to student growth
• Evaluate student projects in a timely manner to give them quick feedback, your minimum time commitment is ~10 hours per week
• Communicate with student’s mentors to resolve questions, provide clarity on their strengths and weakness, and calibrate on feedback when necessary
• Escalate at-risk students through appropriate channels and Program Manager
• Graders may need to evaluate presentations for executive, technical, and non-technical audiences (synchronously)

Experience:

• Bachelor’s degree in data science, applied statistics, computation mathematics OR a comparable field or graduation from a comparable bootcamp
• 1-3 years of grading experience, such as working as a TA in an undergrad or graduate program, or 1-2 years experience in data science industry
• Working on a data science masters or doctorate a plus

Skills:

• Excellent data science, machine learning and statistical technical skills
• Experience with Python for Data Science - pandas, scikit-learn, SQL and Jupyter notebook
• Knowledge of Data Collection, Data Cleaning, Data Wrangling, EDA, Modeling
• Knowledge of Probability, A/B Testing, Hypothesis Testing, Bayesian Inference Statistical Inference, Statistical Modeling
• Graders must be familiar with machine learning techniques, but need not be expert ML practitioners, including Linear Regression, Decision Trees, Random Forest Modeling, Gradient Boosting, Time Series Analysis, SVM, Classification, Clustering, NLP, Deep Learning
• Knowledge and experience using tools such as Apache Spark, PySpark, TensorFlow, PowerBI (for presentations)
• Excellent written communication skills
• Ability to give detailed and actionable feedback
• Ability to strike a balance between maintaining objective grading baseline and allowing subjective considerations
• Ability to meet deadlines within tight timelines
• Knowledge in data science industry needs, trends, and employability
• Possess a growth mindset and be able to receive feedback

Bonus: experience working in education, learning development, or edtech

Compensation: This role is on a per assignment model of $4.50 per assignment graded