We are looking for a skilled Data Scientist with approximately 3 years of industry experience to join our analytics/AI team. The ideal candidate will have hands-on experience working with data pipelines, building predictive models, and delivering actionable insights to support business decisions.
Key Responsibilities
• Collect, clean, and analyze large structured and unstructured datasets.
• Develop, train, and optimize machine learning models for classification, regression, forecasting, or clustering tasks.
• Build dashboards, reports, and visualizations to communicate insights to business stakeholders.
• Perform feature engineering, model validation, A/B testing, and model performance monitoring.
• Work closely with data engineers, analysts, and product teams to define data needs and project requirements.
• Deploy ML models into production environments (if applicable: using tools like AWS/GCP/Azure, Docker, etc.).
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and opportunities.
• Document analytical processes, model decisions, and experiment outcomes.
• Stay updated with industry trends, new ML algorithms, and best practices.
Required Qualifications
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related field.
• 3+ years of experience as a Data Scientist or Machine Learning Engineer.
• Strong proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn.
• Experience with SQL for data extraction and manipulation.
• Hands-on experience building and evaluating ML models.
• Experience with data visualization tools: Power BI, Tableau, or Python (Matplotlib/Seaborn/Plotly).
• Understanding of statistical methods, hypothesis testing, and data modeling.
Job Type: Full-time
Pay: $79,000.00-$119,000.00 per year
Benefits:
• Casual dress
• On-site parking
• Paid time off
