Part-timers & Freelancers are welcomed to apply this Full time position Data Scientist
Job Type: Contract/ Full Time
Professional Experience: 5 years
Areas of Study: Data Science, Computer Science, Statistics, Engineering, Mathematics
Education Level: Bachelor or equivalent
Being a member of Analytics POD in to perform data analysis and development, focusing mainly on Machine Learning and AI developments for inhouse projects.
Undertaking data collection, preprocessing and analysis to make smarter decisions.
Presenting information using data visualization techniques to enhance business outcomes.
PRIMARY JOB RESPONSIBILITIES
Provide industry insight; technical and analytical support using machine learning, deep learning, pattern matching, data visualisation, and predictive modeling tools to produce analysis and algorithms that help businesses make better decisions.
Build advanced analytics applications from data (structured and unstructured) on various technology platforms (cloud and big data platforms)
Execute analytics with the right balance of business and technical skills
Makes strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
Identifies valuable internal and external data sources, automates collection processes and enriches data assets through data science methodologies
Analyzes large amounts of information to discover trends and patterns
Presentes information using data visualization techniques
Proposes and builds innovative and effective data science solutions and strategies to address topmost business challenges
Executes projects in agile methodology
Leads discovery processes with business stakeholders to identify the business requirements and the expected outcome
JOB REQUIREMENT POSITION QUALIFICATIONS AND EXPERIENCES
Degree in Data Science, Computer Science, Engineering, Mathematics, Statistics or a related field with solid experience in Machine Learning and Deep Learning and exposure to big data and cloud based analytics; and/or quantitative related fields
Minimum 5 years of work experience in similar roles
Strong understanding of a business domain (eg. Supply Chain, Marketing, Revenue Management). Desired industry expertise in the maritime sector
Coding skills in Python, and ideally in other languages like R, SQL, Hive Sql, C++
Hands-on experience with Python libraries such as Pandas, NumPy, sklearn, tensorflow
Demonstrated ability to solve business problems involving one or more data science problem class (classification, forecasting, natural language understanding, computer vision, quantitative optimization)
Ability to communicate data science solutions that business stakeholders can understand
Require a combination of a sharp analytical mind with hands-on experience in Data Science, ideally in advanced quantitative research, plus a natural gift for communicating and presenting complex analytical findings to stakeholders.
Excellent communication and presentation skills, helps the organization understand the principles and the behind process to drive organizational buy-in.