Senior Data Scientist

Successacademycharterschool; New York (NY); On-site; USD 180,000 - 200,000; Full time

Benefits offered by this job

Full benefits program

Professional growth opportunities

Job summary

Success Academy Charter Schools in New York is seeking a Senior Data Scientist to lead and innovate in data science models that address critical challenges in education. In this role, you will develop machine learning solutions while nurturing team capabilities.

The ideal candidate has over 5 years of experience, deep Python and SQL proficiency, and a passion for mentoring. This position offers a competitive compensation package ranging from $180,000 to $200,000.

Qualifications

• 5+ years of experience in data science and predictive modeling.
• Expert proficiency in Python and data science libraries.
• Proven skills in writing and optimizing SQL queries.

Responsibilities

• Design and deploy machine learning models for institutional challenges.
• Audit and improve existing models for accuracy and reliability.
• Mentor data analysts and engineers in best practices.

Skills

Python Proficiency

SQL Skills

Statistical Modeling

Mentorship

Data Science Fundamentals

Tools

pandas

NumPy

scikit-learn

R

AWS

GCP

MLflow

Airflow

Git

Job description

Thanks for your interest in Success Academy! Running a large, fast-growing, and high-performing network of public charter schools takes a village - families, children, teachers, staff and faculty, advocates, and supporters alike. We are growing fast in New York and expanding to Florida, and we would love to welcome you to our community! We work tirelessly every day to ensure children have access to a fun, rigorous, whole-child education regardless of zip code or economic status. When you join SA, you play a part in giving every student who walks through our doors a fair shot at reaching his or her potential.

We are seeking a visionary and technically grounded Senior Data Scientist, Enterprise Data & Analytics to lead the development, improvement, and long-term sustainability of our data science models. In this role, you will bridge technical execution and strategic vision, translating complex educational and operational challenges into robust predictive architectures. Beyond building models, you will serve as a foundational mentor, championing technical best practices, elevating the team’s capabilities, and fostering a culture of continuous learning and data science excellence.

Key Responsibilities

• Model Development & Innovation: Design, develop, and deploy end-to-end machine learning and statistical models to address critical institutional challenges (e.g., student performance trajectories, resource allocation, and operational efficiency).
• Sustainment & Optimization: Audit, monitor, and continuously improve existing production models, ensuring their accuracy, reliability, and long-term scalability.
• Technical Mentorship: Act as a primary mentor to data analysts and engineers, conducting code reviews, organizing internal knowledge-sharing sessions, and disseminating current data science methodologies across the team.
• Data Strategy & Querying: Architect efficient data extraction workflows and construct complex, scalable queries to manipulate large datasets for feature engineering and analysis.
• Collaboration: Work alongside data engineers and product owners to establish clean data pipelines and translate model outputs into actionable dashboards or software features.

What We Are Looking For (Requirements)

• Experience: 5+ years of professional experience in data science, predictive modeling, or advanced analytics, with a proven track record of bringing machine learning models into production environments.
• Expert Python Proficiency: Deep expertise in Python and its core data science ecosystem (including pandas, NumPy, scikit-learn, and related framework libraries) for building robust, clean, and reusable code.
• Advanced SQL Skills: Exceptional ability to write, optimize, and debug complex SQL queries against large relational databases or modern cloud data warehouses.
• Core Data Science Fundamentals: Strong command of statistical modeling, regression techniques, classification algorithms, and experimental design (A/B testing).
• Mentorship Mindset: Prior experience or a strong demonstrated desire to guide, mentor, and upskill junior team members while establishing technical standards.

Nice to Haves (Preferred Qualifications)

• Statistical Programming in R: Familiarity with R for exploratory data analysis, prototyping, or specific statistical packages.
• Cloud & MLOps Tools: Exposure to cloud data infrastructure (such as AWS, GCP, or Snowflake) and basic ML orchestration/versioning tools (e.g., MLflow, Airflow, Git).
• Domain Context: Prior experience working within education, non-profits, or public sector datasets, though a diverse background across other industries is highly valued.

Exact compensation may vary based on skills and experience. This position is not bonus eligible.

Compensation Range: $180,000—$200,000 USD

Success Academy Charter Schools is an equal opportunity employer and actively encourages applications from people of all backgrounds. Compensation is competitive and commensurate with experience. Success Academy offers a full benefits program and opportunities for professional growth.

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We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We actively seek applications from people of all backgrounds to strengthen our community and the perspectives needed to flourish in a multicultural world. Success Academy offers a full benefits program and opportunities for professional growth.

Success Academy Charter Schools does not offer employment-based immigration sponsorship.