Data Scientist

About the Role

We’re seeking a skilled Data Scientist to analyze complex datasets, develop machine learning models, and deliver actionable business insights. You’ll work closely with cross-functional teams to deploy scalable, high-impact analytics solutions in an on-site capacity.

Key Responsibilities

• Clean, preprocess, and analyze large datasets to identify patterns and trends.
• Develop, validate, and deploy machine learning models—regression, classification, clustering, forecasting. 
• Design and maintain scalable data pipelines for ETL and model training.
• Evaluate model performance and optimize algorithms for accuracy and scalability.
• Build dashboards and visualizations to present insights to stakeholders using tools like Tableau or Power BI.
• Collaborate with engineering teams to integrate models into production systems and workflows.
• Document methodologies, workflows, and best practices; ensure reproducibility.
• Stay current with AI/ML advancements and recommend new techniques/tools.

Required Qualifications

• Bachelor’s or Master’s in Data Science, Statistics, Computer Science, or related field. 
• 5–8+ years of experience developing ML models and data-driven solutions. 
• Proficiency in Python (with libraries such as Pandas, Scikit-learn, TensorFlow, PyTorch) and SQL.
• Experience with big data frameworks like Hadoop or Spark. 
• Strong statistical modeling skills—time-series, A/B testing, hypothesis testing.
• Skilled in data visualization and presenting technical information to non-technical audiences. 

Preferred Qualifications

• Advanced degree (master’s or PhD) in a quantitative field.
• Experience in forecasting or demand modeling (e.g., in retail/commerce). 
• Knowledge of cloud platforms (AWS, Azure, or GCP).
• Familiarity with deploying models into production and building CI/CD pipelines
• Competency in using REST APIs for ML model serving.