Fast Facts

GoGuardian is seeking a Data Scientist II to develop machine learning solutions that enhance its platform, focusing on algorithms and interactive dashboards.

Responsibilities: Key responsibilities include collaborating on data science solutions, communicating findings to stakeholders, building and deploying machine learning models, and extracting and transforming data.

Skills: Required skills include proficiency in Python, advanced statistics, machine learning, and natural language processing, along with experience in cloud computing.

Qualifications: Preferred qualifications include an advanced degree in a quantitative field, 4-5 years of experience, and familiarity with Deep Learning methods and collaborative development.

Location: This position is based in the United States with no remote options specified.

Compensation: $145000 - $165000 / Annually

The Role

We’re looking for a Data Scientist II to build machine learning solutions that are core to the GoGuardian product. In this role, your primary responsibility will be to optimize the functioning of the GoGuardian platform with algorithms, experimentation, and interactive dashboards. This position sits on the Data Science team.

What You’ll Do:

• Collaborate across teams to implement data science and machine learning solutions to optimize GoGuardian’s internal operations and SaaS products
• Communicate methods and findings with stakeholders through written reports, presentations, dashboards, and APIs
• Build machine learning models and deploy them as production services at scale
• Extract and transform data in a reliable, repeatable manner
• Empirically explore novel data sets and identify opportunities to improve predictive algorithms
• Build tooling to support efforts such as unit testing, automated deployment testing, model performance tracking, etc.
• Join the best data science team in Ed Tech 

Who you are:

• Advanced education (PhD or Master’s), preferably in a quantitative field (science, math, statistics, engineering, etc.) 
• 4-5 years of professional work experience or commensurate academic research experience
• Experience applying data science solutions to deliver impactful results
• An outstanding ability to communicate complex findings to stakeholders outside of Data Science
• Advanced skills in Python
• Natural Language Processing experience
• Experience working in cloud computing (preferred AWS and Databricks)
• Plenty of experience with traditional statistics and ML approaches
• Familiarity with Deep Learning methods and libraries (e.g. transformers, PyTorch, fast.ai)
• Experience with collaborative development (e.g. in GitHub)
• Experience extracting data from a variety of sources in a variety of formats
• Knowledge of best practices in coding/scientific projects

Bonus Points if you also bring the following:

• Experience with Docker/containerized workflow
• Experience with Generative AI/building LLM-powered applications
• Experience with MLOps and/or LLMOps
• Experience in the education space

What We Offer

• Competitive pay, complete health insurance, 401(k) matching, and an employee equity plan.
• Flexible time off, paid holidays, paid parental leave, and a paid year-end holiday break.
• A robust catalog of benefits that support your professional growth and personal wellbeing, including work from home funds, fertility & adoption reimbursement, and more…

Plus the intangible:

• A varied and challenging role in an innovative, global company.
• Supportive, driven colleagues who have your back and share your passion.

The typical base salary range for this position is $145,000 - 165,000 per year. The range displayed on this job posting reflects the minimum and maximum target for new hire base pay for this position and your pay will be determined by a variety of factors, including your primary work location, skills, qualifications, and experience. Additional benefits information is listed on our careers page.