Data Scientist II

This is a fully remote position, open to applicants in United States.

📋 Description

• Create, prototype, and assess models that provide tailored college, career, and pathway suggestions.

• Utilize statistical modeling, machine learning, and generative AI to evaluate and enhance product functionalities.

• Assess model performance, equity, bias, and suitable application.

• Develop data collection strategies that capture student behavior, performance, and engagement.

• Analyze pilot and user-study data, translating insights into actionable product suggestions.

• Establish metrics and experiments to assess recommendation quality and product influence.

• Collaborate with engineers to develop scalable, cloud-based data pipelines.

• Transition models from prototype phase to full production.

• Integrate various data sources including student, educational, assessment, skills, career, and labor-market information.

• Create protocols for data security, model documentation, deployment, monitoring, and maintenance.

• Formulate recommendations that remain relevant despite incomplete student data and evolve with changing information.

• Leverage behavioral and performance data to enhance personalized and adaptive product experiences.

• Ensure model outputs are clear and actionable for stakeholders.

• Work collaboratively across product, engineering, research, design, and business teams.

• Convert research and business requirements into data collection strategies and technical solutions.

• Convey analytical results, assumptions, risks, and trade-offs to both technical and non-technical audiences.

⛳️ Requirements

• Bachelor’s degree in data science, computer science, statistics, applied mathematics, economics, operations research, or a related quantitative field, or a comparable mix of education and experience.

• Minimum of 3 years of practical data science experience, including the development of statistical or machine learning models and analysis of product experiments, pilots, or user studies.

• Proficient in Python and SQL.

• Experience in creating scalable data pipelines.

• Familiarity with transitioning data products or models from prototype to production.

• Strong skills in statistical modeling, machine learning, experimental design, and model assessment.

• Experience with scalable data pipelines, cloud infrastructures, and the integration of complex data sources.

• Proven ability to use behavioral and performance data to craft personalized product experiences.

• Understanding of responsible AI principles, including fairness, bias reduction, transparency, privacy, and appropriate usage.

• Strong cross-functional communication skills.

• Candidates must be authorized to work in the U.S. without the need for visa sponsorship.

• A Master's degree in data science or a related discipline is preferred.

• Experience with recommender systems, generative AI, natural language processing, or personalized and adaptive systems is advantageous.

• Familiarity with education, assessment, career, workforce, labor-market, occupational, or skills data is a plus.

• Completion of the ACT National Career Readiness Certificate is recommended.

• Finalists are required to pass a criminal background check as a condition of employment.

🏝️ Benefits

• Company-sponsored life insurance.

• Health insurance coverage.

• Dental insurance.

• Vision insurance.

• Flexible health and dependent spending accounts.

• 401(k) retirement savings plan with company matching.

• Paid holidays.

• Paid time off.

• Potential for position extension or conversion to full-time employment.

• A workplace that values inclusivity and equity.

• Opportunities for professional growth and development for team members.