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Data Scientist
Data Scientist
Lognormal Analytics is seeking a Data Scientist to analyze and organize raw data, build data systems and pipelines, and conduct complex data analysis. The role involves interpreting trends, preparing data for predictive modeling, and developing analytical tools.
About the role
Job Responsibilities
- Analyse and organize raw data Build data systems and pipelines
- Evaluate business needs and objectives
- Interpret trends and patterns
- Conduct complex data analysis and report on results
- Prepare data for prescriptive and predictive modelling
- Build algorithms and prototypes
- Combine raw information from different sources
- Explore ways to enhance data quality and reliability
- Identify opportunities for data acquisition
- Develop analytical tools and programs
- Leveraging critical thinking and adaptability to solve complex issues
Requirements
- Overall 1-2+ years of experience with Python Development
- Working knowledge of python libraries like Pandas (Major), NumPy, Matplotlib, and Seaborn
- Understanding Data Pipelines is a plus
- Technical expertise with data models, data mining, and segmentation techniques
- Knowledge in large-scale data transformation, design and solution delivery experience of high-quality data processing pipelines and solutions in a professional services environment.
- Great numerical and analytical skills
- Degree in Computer Science, IT, or a similar field a Master's is a plus
- Expertise in building and consuming APIs
- Comfortable working in an Agile environment
- Understanding of data modelling principles
Skills
PythonPandasNumpyMatplotlibSeabornData Pipelinesdata modelsData Miningsegmentation techniqueslarge scale data transformationapiAgiledata modelling