Data Scientist Support

Key Responsibilities

• Develop, validate, and deploy predictive and prescriptive analytics models to support business decision-making.
• Design and implement machine learning, statistical, and optimization models for real-world business use cases.
• Analyze large and complex datasets to uncover actionable insights and recommendations.
• Develop data pipelines and prepare datasets for modeling and analysis.
• Collaborate with cross-functional teams to identify business opportunities and translate them into data science solutions.
• Deploy machine learning models into production environments and monitor their performance.
• Optimize model performance through feature engineering, model tuning, and continuous improvement.
• Work with structured and unstructured data from multiple sources.
• Document methodologies, model assumptions, and technical implementations.
• Stay up to date with emerging technologies, tools, and best practices in data science and advanced analytics.

Requirements

• Bachelor's degree or Diploma in Computer Science, Data Science, Statistics, Mathematics, Information Technology, Engineering, or a related field.
• Minimum 2 years of experience in predictive and prescriptive analytics (advanced analytics) or equivalent practical experience.
• Strong proficiency in SQL, NoSQL, and related database technologies.
• Proficiency in Python and/or R for machine learning, statistical modeling, and operations research.
• Hands-on experience with machine learning, statistical modeling, and/or operations research techniques.
• Experience deploying machine learning models into production environments using MLOps or related deployment practices.
• Experience with big data technologies such as Apache Spark, Hive, Impala, Kafka, or similar platforms is highly preferred.
• Proven experience implementing advanced analytics solutions in business or enterprise projects.
• Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a multidisciplinary team.

Skills: Impala, Power BI, Hive, Kafka, SQL, Data Analysis, Microsoft SQL Server, Python, Data Visualization