We're looking for a Mid Data Scientist ready to make a difference by crafting impactful data-driven solutions. This dynamic role offers the chance to work closely with diverse teams, developing analytical and machine learning models that create measurable business value.
Required Qualifications to be successful at this role:
Technical Skills:
* Strong knowledge of Python (NumPy, pandas, scikit-learn; with basics of PyTorch/TensorFlow).
* Solid experience in Exploratory Data Analysis (EDA) and feature engineering.
* Strong foundation in statistics and probability (hypothesis testing, inference, distributions).
* Proven experience building and evaluating supervised and unsupervised ML models, including tuning and validation.
* Knowledge of ML experimentation tools (MLflow, W&B, Databricks ML).
* Proficient in SQL for data analysis and querying.
* Understanding of model evaluation and validation strategies (cross-validation, metrics, overfitting).
* Basic familiarity with cloud ML platforms (Azure ML, AWS SageMaker, GCP Vertex AI).
* Experienced in data visualization using Matplotlib, Seaborn, Plotly, as well as BI tools like Power BI or Tableau.
* Understanding of MLOps fundamentals (model registry, versioning, deployment lifecycle).