Data Scientist

Company Description: FDE School is an industry-focused learning institution dedicated to developing the next generation of Forward Deployed Engineers who operate at the intersection of AI, engineering, product, and business. The school serves experienced software and technology professionals, emphasizing practical application over theory. Programs center on hands-on projects, real-world problem solving, AI engineering, system design, deployment, and client-facing execution. Learners are trained to take technology from idea to implementation to production while collaborating with stakeholders to deliver measurable business impact. FDE School is built on the philosophy of “Learn. Build. Deploy.” for professionals who want to turn technical capability into real-world results.
Role Description: The Data Scientist role at FDE School is a full-time, on-site position based in Bengaluru. The Data Scientist will work closely with instructors, product leads, and industry partners to design and implement data-driven solutions that support both learning outcomes and real-world project needs. Day-to-day responsibilities include collecting and preparing data, performing exploratory analysis, building statistical and machine learning models, and creating clear visualizations and reports. The role also involves collaborating with stakeholders to translate business problems into analytical questions, validating model performance, and supporting deployment of data products and decision-support tools. The Data Scientist will contribute to curriculum-related projects, mentor learners on data workflows, and help maintain best practices for data quality, documentation, and reproducibility.
Qualifications
Candidates should possess strong skills in Data Science and Data Analytics for building models, experiments, and end-to-end analytical workflows.
Candidates should possess solid foundations in Statistics and Data Analysis to frame hypotheses, validate results, and interpret findings accurately.
Candidates should possess proficiency in Data Visualization to communicate insights clearly through dashboards, presentations, and reports.
Proficiency in programming languages such as Python or R, and experience with common data science libraries (e.g., pandas, scikit-learn, NumPy, Matplotlib, Plotly) are beneficial.
Experience with SQL and working with relational or cloud-based data warehouses is beneficial.
Familiarity with machine learning workflows, model evaluation, and deployment using tools such as Jupyter, ML frameworks, and version control (e.g., Git) is beneficial.
Strong problem-solving skills, the ability to translate business requirements into analytical solutions, and effective communication with technical and non-technical stakeholders are expected.
A bachelor’s or master’s degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics, or related discipline, or equivalent practical experience, is preferred.

Work arrangement
No