Data Scientist test 1

Job Summary

We are seeking a Data Scientist Test 1 to join our IT analytics team. This role focuses on designing and implementing machine learning models that drive product performance insights and support data‑driven decision making across the organization.

Key Responsibilities

• Develop end‑to‑end predictive models using Python and scikit‑learn to forecast user engagement and churn.
• Collaborate with product managers to translate business questions into data experiments and report findings through interactive dashboards.
• Clean, transform, and validate large datasets from SQL databases, APIs, and cloud storage to ensure data integrity.
• Perform exploratory data analysis and feature engineering to improve model accuracy and interpretability.
• Document model pipelines, assumptions, and results in GitHub repositories and internal wikis for reproducibility.

Required Qualifications

• Bachelor’s degree in Computer Science, Statistics, or a related quantitative field.
• Minimum of 2 years of professional experience building machine learning models in a production environment.
• Proficiency in Python, SQL, and version control with Git.
• Strong analytical mindset with the ability to communicate complex findings to non‑technical stakeholders.

Preferred Qualifications

• Experience with cloud platforms such as AWS or Azure for model deployment.
• Knowledge of deep learning frameworks (TensorFlow, PyTorch) for image or NLP tasks.
• Published contributions to open‑source data science libraries or participation in Kaggle competitions.

Required Skills

• Python programming (pandas, NumPy, scikit‑learn)
• SQL querying and data manipulation
• Statistical analysis and hypothesis testing
• Feature engineering and dimensionality reduction techniques
• Model evaluation metrics (AUC‑ROC, RMSE, precision‑recall)
• Data visualization with matplotlib, seaborn, or Plotly
• Experience with version control (Git) and collaborative development workflows
• Basic understanding of DevOps practices for model deployment

Education

Bachelor’s degree in Computer Science, Statistics, Mathematics, or a closely related quantitative discipline.

Benefits

• Competitive salary with annual performance bonuses
• Health, dental, and vision insurance plans for employees and dependents
• Generous 401(k) matching program and company contributions
• Flexible work schedule and remote‑work options to support work‑life balance