Data Scientist

Introduction

We are seeking an experienced Data Scientist to analyze complex datasets, develop predictive models, and deliver data-driven insights that support business and technical decisions. The ideal candidate will have strong experience in Python, SQL, machine learning, statistics, data visualization, and cloud platforms.

Responsibilities

• Analyze large and complex datasets to identify trends, patterns, and business opportunities.
• Develop, train, validate, and deploy machine learning and statistical models.
• Build predictive, classification, clustering, and recommendation models.
• Perform data cleaning, preprocessing, feature engineering, and exploratory data analysis (EDA).
• Develop and optimize machine learning algorithms using Python and relevant frameworks.
• Work with structured and unstructured data from multiple sources.
• Create dashboards, reports, and visualizations to communicate analytical findings.
• Collaborate with Data Engineers, Software Engineers, Product Managers, and business stakeholders.
• Evaluate model performance using appropriate statistical and machine learning metrics.
• Implement model monitoring, validation, and continuous improvement processes.
• Work with cloud-based data and machine learning platforms.
• Document models, methodologies, assumptions, and analytical results.
• Stay current with emerging developments in AI, Machine Learning, Generative AI, and Data Science.

Requirements

Required Skills

• 5 years of experience in Data Science, Machine Learning, Statistics, or a related field.
• Strong programming experience with Python.
• Strong SQL skills and experience working with relational databases.
• Experience with Machine Learning and statistical modeling.
• Experience with Pandas, NumPy, Scikit-learn and related Python libraries.
• Experience with data visualization tools such as Power BI, Tableau, Matplotlib, or Seaborn.
• Strong knowledge of statistics, probability, regression, classification, clustering, and hypothesis testing.
• Experience with data preprocessing, feature engineering, model evaluation, and optimization.
• Experience working with large datasets and distributed data environments.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with PyTorch or TensorFlow.
• Experience with Spark / PySpark.
• Experience with AWS, Azure, or Google Cloud Platform.
• Experience with Databricks, Snowflake, or BigQuery.
• Knowledge of MLOps and model deployment.
• Experience with MLflow, Docker, Kubernetes, or CI/CD.
• Experience with Generative AI, LLMs, NLP, or Computer Vision.
• Experience with REST APIs and deploying machine learning models into production.
• Experience with Git/GitHub/GitLab.

Education

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.

Typical Technology Stack

Python | SQL | Pandas | NumPy | Scikit-learn | TensorFlow/PyTorch | Spark/PySpark | MLflow | AWS/Azure/Google Cloud Platform | Databricks | Snowflake | Power BI/Tableau | Git