Deskripsi pekerjaan Data Scientist Support Pt Linov Roket Prestasi
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.
