Data Scientist

Key Skills

Data Analytics, Data pipelines, Data science techniques, Mathematics, NumPy, Pandas, Scikit-learn, Statistical modeling, TensorFlow

Job Description

Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

About You:

• Selecting features, building and optimizing classifiers using machine learning techniques
• Design, train, and deliver data science solutions using all modalities (tabular, text, image)
• Work with team of data scientists and data engineer to build advanced analytical solutions for clients
• Data mining using state-of-the-art methods
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance
• Implement new statistical or other mathematical methodologies as needed for specific models or analysis
• Optimize joint development efforts through appropriate database use and project design
• Write codes that are well detailed structured and compute efficient
• Drive value delivery through efficiency gain by automating repeatable tasks report creation or dashboard refresh
• Must to have – Tensor flow, pandas, scikit-learn and numpy