Data Scientist
Core
Early-career Data Scientist building predictive models and generating insights from structured/unstructured data to support business decisions.
Role type
junior IC data scientist
Builds
predictive models, classification algorithms, regression models, and data-driven solutions
Domain
data science and machine learning
Deliverable
production ML models
Required skills
Python, SQL, statistics, linear algebra, machine learning algorithms, data preprocessing, feature engineering, exploratory data analysis
Preferred skills
deep learning frameworks (TensorFlow/PyTorch), NLP, generative AI, cloud platforms (AWS/Azure/GCP), model deployment, APIs, ML pipelines
Technologies
Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Plotly, Jupyter Notebook, Google Colab, Git, GitHub
Responsibilities
Collect, clean, and analyze large datasets; perform exploratory data analysis; develop, train, test, and evaluate ML models; create data visualizations and reports; collaborate with cross-functional teams to translate requirements into solutions; maintain documentation of datasets and methodologies.
Seniority
Junior, early-career IC
