Data Scientist
CodePath is a national non-profit that is reprogramming higher education to create the most diverse generation of software engineers, CTOs, and founders. We deliver industry-vetted courses and career support centered on the needs of Black, Latino/a, Indigenous, and low-income students. Our students train with senior engineers, intern at top companies, and rise together to become the tech leaders of tomorrow. As of 2023, we've served 10,000 students a year nationwide, and we plan to scale up to ~100,000 students a year by 2028.
Founded in 2017, CodePath has taught over 26,000 students and delivered courses across over 110 universities. We are supported by some of the largest and most well-respected organizations, including Amazon, Andreessen Horowitz, Blue Meridian Partners, Comcast, Google, JP Morgan Chase, Knight Foundation, Meta, New Profit, and Salesforce, among others. In 2024, CodePath was recognized as one of the Most Innovative Companies in Education by Fast Company.
About the Role
Location: Remote, US
Duration: FTE
Reports To: CLO
Compensation: $120,000-$160,000 per year
We’re at a critical moment in our growth as an organization. 2024 is a year of incredible change at CodePath (check out our platform overview), and we’re looking for the right 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. We expect the new hire to design and execute effective data science initiatives, ML modeling, and BI analysis across everything we do — which makes this a challenging, creative, and exciting technical position for an experienced data scientist.
Key Activities
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Collaborate with data engineers and stakeholders to design, refine, and deploy data pipelines that feed models and analytics processes
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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
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Perform exploratory data analysis (EDA) to identify trends, patterns, and insights, and communicate findings to stakeholders
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Develop and implement models, including statistical and machine learning models, to support business decision-making
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Develop and maintain data processing workflows for model training, evaluation, and deployment
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Work closely with cross-functional teams to understand their data needs and translate business problems into analytical questions
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Develop and maintain documentation for data science workflows, models, and methodologies that help achieve business goals and support impact measurement
Qualifications
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2 to 5 years of relevant professional experience in data science, machine learning, or a related field
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Strong foundation in statistics, data analysis, and machine learning algorithms
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Proficient in Python or R, with experience in using libraries such as pandas, scikit-learn, TensorFlow, or PyTorch
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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
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Substantial experience in SQL and working with large datasets, including data wrangling, cleaning, and transformation
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Familiarity with data engineering tools and concepts, and a strong understanding of how data models and pipelines support advanced analytics
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Excellent communication skills, with the ability to present complex analytical concepts to non-technical audiences in an understandable and engaging manner
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Experience with best practices for tools like Jupyter Notebooks, Git, and version control to ensure robust, reproducible analyses
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Proven ability to take projects from conceptualization to deployment, with an aptitude for problem-solving and troubleshooting
Additional Skills and Experience
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Proven ability to drive projects from conception to completion
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Aptitude for problem-solving and troubleshooting
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Excellent communication and collaboration skills
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Ability to work in a fast-paced, startup environment
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Proactive, independent, responsible attitude with the ability to learn quickly
Pay range
$120,000 - $160,000 USD
Benefits
We offer a comprehensive benefits package for full-time employees that includes:
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Medical, dental, and vision premiums paid at 90% for FT positions and their dependents
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Flexible vacation and sick time policy with 12 company paid holidays plus a week long "winter break" office closure from Christmas to New Years. Employees take the time when they need it
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Flexible workplace and work schedule
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CodePath provides a laptop, monitor, and ergonomic office setup
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Annual professional development stipend
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Ability to voluntarily contribute pre and post-tax earnings to our 401k plan
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10 weeks of paid parental leave
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A commitment to developing leaders from within the organization
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Frequent opportunities to connect with students, universities, and communities we serve
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Opportunities to engage, collaborate and partner with top technology companies, venture capitalists, and engineering leaders
About the Current Team
We are individuals from a multitude of backgrounds, experiences, and unlikely stories, all connected by a single dream: a world in which regardless of background, socioeconomic status, gender, or race all people have pathways to reach their full potential.
With a staff and board that cares deeply about diversity and equity, we believe that diverse perspectives and backgrounds create a richer work environment and enhance our ability to pursue our mission.
Note: Research suggests that women and BIPOC individuals may self-select out of opportunities if they don’t meet 100% of the job requirements. We encourage individuals who believe they have the skills necessary to thrive at CodePath to apply for this role.
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