Lead Data Scientist

Full-time - Mid Level

About the position

CodePath is reprogramming higher education to create the first generation of AI-native engineers, CTOs, and founders. We deliver industry-vetted courses and career support centered on the needs of first-generation and low-income students. Our students train with senior engineers, intern at top companies, and rise together to become the teach leaders of tomorrow. With 30,000 students and alumni from 700 colleges now working at 2,000 companies, we are reshaping the tech workforce and the industries of the future. We’re at a critical moment in our growth as an organization. 2025 is a year of incredible change at CodePath, and we’re looking for the right Lead Data Scientist to lead the charge on our small, skilled, and growing team. As an early hire on our data team, you will collaborate with stakeholders across the organization to help build and maintain our next generation data infrastructure. In order to build out our capacity to use data effectively, we are looking for somebody resourceful with a problem solving mindset who is self-directed and able to work closely with data engineers, software developers, and business stakeholders. As our first data scientist, we expect you to design and execute effective data science initiatives, ML modeling, and BI analysis across everything we do, with a focus on what can be done with the organization's constraints and best interests in mind — which makes this a challenging, creative, and exciting technical position for an experienced data scientist. The ideal candidate is an experienced Data Scientist who thrives in an early-stage startup environment, excels at independently performing analyses, and can lead our broader data strategy. The successful candidate will be inspired to deliver tactical internal insights, conduct influential research, and collaborate with external partners to transform computer science education and advance CodePath’s mission.

Responsibilities

• Work with senior leaders to set and execute on a strategy for measuring and evaluating CodePath's impact
• Collaborate with data engineers and stakeholders to design, refine, and deploy data pipelines that feed models and analytics processes
• Create and maintain dashboards, visualizations, and reports that communicate complex analyses in a clear and actionable manner using tools like Tableau or other BI platforms
• Perform exploratory data analysis (EDA) to identify trends, patterns, and insights, and communicate findings to stakeholders
• Develop and implement models, including statistical and machine learning models, to support business decision-making
• Develop and maintain data processing workflows for model training, evaluation, and deployment
• Work closely with cross-functional teams to understand their data needs and translate business problems into analytical questions
• Develop and maintain documentation for data science workflows, models, and methodologies that help achieve business goals and support impact measurement

Requirements

• 3+ years of relevant professional experience in data science, machine learning, or a related field
• Strong foundation in statistics, data analysis, and machine learning algorithms
• Proficient in Python or R, with experience in using libraries such as pandas, scikit-learn, TensorFlow, or PyTorch
• Experience working with cloud-based platforms such as Google Cloud, AWS, or Azure, especially in deploying machine learning models and querying data from data warehouses
• Substantial experience in SQL and working with large datasets, including data wrangling, cleaning, and transformation
• Familiarity with data engineering tools and concepts, and a strong understanding of how data models and pipelines support advanced analytics
• Excellent communication skills, with the ability to present complex analytical concepts to non-technical audiences in an understandable and engaging manner
• Experience with best practices for tools like Jupyter Notebooks, Git, and version control to ensure robust, reproducible analyses
• Proven ability to take projects from conceptualization to deployment, with an aptitude for problem-solving and troubleshooting
• Able to work productively under uncertainty, and deals with obstacles constructively with an eye on moving the organization towards goals

Nice-to-haves

• Proven ability to drive projects from conception to completion
• Aptitude for problem-solving and troubleshooting
• Excellent communication and collaboration skills
• Ability to work in a fast-paced, startup environment
• Proactive, independent, responsible attitude with the ability to learn quickly

Benefits

• Medical, dental, and vision insurance (90% employer-covered)
• Employer-funded healthcare reimbursement
• FSAs and Employee Assistance Program
• 401(k) with employer match
• Employer-paid life & disability insurance
• Identity theft protection
• Generous PTO and paid holidays
• 10 weeks of fully paid parental leave
• Annual year-end company closure (Dec 24 – Jan 2)
• $1,000 annual professional development stipend
• Home office setup support
• Student Loan Forgiveness eligibility for PSLF
• Pet wellness plans
• Legal services
• Home/auto insurance discounts
• Exclusive marketplace savings