GoGuardian
Data Scientist IV
🇺🇸 Remote - US
🕑 Full-Time
💰 $200,000 - $220,000
💻 Data Science
🗓️ February 20th, 2024
GIT Python SQLWhat We Do
At GoGuardian, we’re helping build a future where all learners are ready and inspired to solve the world’s greatest challenges. Our award-winning system of learning solutions is purpose-built for K-12 and trusted by school leaders to promote effective teaching and equitable engagement while helping empower educators to keep students safe.
What It’s Like to Work at GoGuardian
We are a fast-growing learning company that thrives on making bold moves and setting high standards. Working with us means joining a (mostly!) remote team of diverse, passionate, mission-driven employees who are inspired by our vision, dedicated to our customers, and comfortable with rapid change. We balance our rocketship pace with a work culture that offers unbridled support, allyship, and inclusivity…to say nothing of fun! Join our Neurodiversity ERG, attend an online magic show (and bring your kids), head to a DEI Community of Practice session, share a pet photo with other dog lovers, or relax in an online meditation class. Our culture has earned us accolades! We have been named one of Built In's 2022 Best Places to Work™ and are certified as a Great Place to Work®.
The Role
We’re looking for a Data Scientist IV to join an innovative team collaborating with partners throughout the business to solve challenging problems. In this role, you’ll be optimizing company performance with algorithms, experimentation, and interactive dashboards. You will also have the opportunity to contribute to novel research studies and production-grade algorithms that serve students and educators. This position sits on the Data and AI team, a team that sets the standard for data-driven and scientific decision-making throughout the business. The ideal candidate is a creative problem solver with excellent technical and communication skills and is committed to fostering a culture of continuous learning and innovation.
What You'll Do
- Lead the Development and Optimization of Machine Learning Models: Spearhead the design, development, and optimization of advanced machine learning models to personalize learning experiences, predict student outcomes, and enhance educational content delivery.
- Data Analysis and Insight Generation: Utilize statistical analysis and data mining techniques to analyze vast amounts of data, deriving actionable insights that inform product development, user engagement strategies, and educational content improvement.
- Collaborate on Cross-Functional Projects: Work closely with product managers, software engineers, and educational specialists to integrate data science solutions into the platform, ensuring they meet the company's educational goals and user needs.
- Mentor and guide junior data scientists and analysts, fostering a culture of learning and continuous improvement within the team.
- Regularly interact with senior management or executive levels in matters concerning data science.
- Keep abreast of the latest developments in data science, machine learning, generative AI, and education technology, applying new techniques and technologies to solve complex problems in the educational domain.
- Ensure the ethical use of data, adhere to privacy laws and regulations, and implement best practices in data governance to protect sensitive information related to students and educators.
Who You Are
- Advanced education (PhD or Master’s) in a quantitative field (science, math, statistics, engineering, etc.) with professional work experience as a Data Scientist
- 7+ years of experience leading data science initiatives to deliver impactful results
- Excellent written and oral communication skills
- An outstanding ability to communicate complex findings to stakeholders outside of Data Science in a clear, simple, and concise manner. Prior experience mentoring and supporting junior to mid-level data scientists
- Advanced skills in Python, SQL
- Experience with git and cloud computing (AWS, GCP, or Azure)
- Strong proficiency in traditional statistics and ML approaches
- Experience extracting data from a variety of sources in different formats
- Knowledge of best practices in coding/scientific projects
- Eager to take initiative in a fast-paced, ever-changing, dynamic environment.
- Thrilled for the opportunity to truly impact the education landscape.
- Something else? Tell us! We want to learn more about you…
What We Offer
- Competitive pay, complete health insurance, 401(k) matching, and an employee equity plan.
- Flexible time off, 13 paid holidays, paid parental leave, and a paid year-end holiday break.
- A robust catalog of benefits that support your professional growth and personal well-being: wellness days, 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 $200-220K 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.
Please share this with your friends or co-workers who may be interested in working at GoGuardian! We have multiple openings and are always looking for talented people.
GoGuardian is an equal opportunity employer and makes employment decisions on the basis of merit and business needs. GoGuardian does not discriminate against employees, applicants, interns or volunteers on the basis of race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, pregnancy, marital status, sex, age, sexual orientation, military and veteran status, registered domestic partner status, genetic information, gender, gender identity, gender expression, or any other characteristic protected by applicable law.
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