Data Scientist at Higher Ground Education

At Higher Ground Education, we are radically reinventing education. We believe that for a student to live their life fully, we need an education model that fosters independence and develops competent, capable, action-oriented thinkers and change agents. To achieve this, we are using technology as an enabler for the timeless core principles of Montessori education. We are committed to making high-quality, modernized Montessori education available to all. To that end, we are looking for a capable engineer for the following role.
 As a staff Data Scientist, you will be helping to drive innovation through many data-driven processes. You will be responsible for collecting, analyzing, and presenting data, including providing actionable intelligence gathered from multiple disparate data sets. The ideal candidate possesses the analytical aptitude and problem-solving skillset necessary for extracting value from a collection of novel data sets. This position requires the synthesis of new information to generate intelligence that allows us to drive innovations forward. The ideal candidate is willing to learn about new technologies and concepts and can effectively communicate their knowledge to others. This candidate will also aid in developing a data analysis pipeline that will lend itself to automation while utilizing engineering and statistical techniques. This position is full-time and remote.
Your Responsibilities:

Aggregate and analyze data from multiple sources to identify trends and patterns.
Design, model, and document the logical and conceptual relationship of data and database changes for metrics and analytics.
Development/programming of tools to improve pipeline efficiency, automate repetitive tasks, and implement new analysis tools/techniques.
Generate ideas and support building data tools to automate analysis processes.
Interpret data and analyze results using statistical and analytical techniques to provide ongoing reports and visualizations.
Design and prototype data analytics pipelines that effectively summarize data for identifying trends and correlations.
Gather data from primary or secondary data sources to identify and interpret trends
Apply problem-solving skills and root-cause analysis to ensure that curated data is accurate, repeatable, and explainable.

Basic Qualifications:

A bachelor's degree in a technical area with two years of hands-on professional experience.
Proficient in Microsoft Excel and PowerPoint.
Knowledge of techniques for gathering, cleansing, and transforming data
Experience with data science toolkits/languages such as Python/R, Scikit-learn, PyTorch/TensorFlow, Matplotlib, NumPy, C++, or Python.
Familiarity with data visualization tools like Tableau and PowerBI
Knowledge of best practices in data analysis
Excellent interpersonal and communication skills.
Experience documenting processes and maintaining data records.

Preferred Qualifications:

A master's degree in Data Science
Proficiency using query languages such as SQL
Applied statistics skills, such as distributions, statistical testing, and regression.
Experience with Agile development practices

We Offer:

A competitive salary
Health, dental, and vision insurance
Paid time off and paid holidays
100% tuition discount for two children at any school within our network
A network of supportive peers and mentors who regularly share best practices
Career growth and promotion opportunities