Data Scientist

Key Responsibilities

• Driving use cases by analyzing OBD Data
• Geospatial and Temporal data analysis
• Read conference papers on the latest research in Geospatial and Temporal domain
• Vehicle Component Health
• Fleet Management System
• Cross functional experience closely with engineering, Dev-ops, and marketing teams, to understand and deliver effective products. Creating data visualizations to effectively convey findings using Tableau/plotly/panel/streamlit
• Exporting data to external sources through reports or spreadsheets or through API
• Extending companys data with third party sources of information when needed
• Data quality to support sound business decisions and effective engineering

• Must know excel and be able to create basic models in excel
• read latest research online and synthesize into a summary report
• Geospatial and Temporal Data analysis
• Model ready data preparation
• Anomaly detection algorithm development
• Programming skills using Python, Octave, Matlab or Apache suite of products for Big Data Analysis
• Visualization: Tableau, Qlik, HTML, D3.js, javascript, Superset, streamlit, panel, leaflet
• Strong Communication skills with ability to tell stories using data
• Understanding & implementation experience of ETL/ELT
• Experience with AWS services like Lambda, S3, Sagemaker, AWS Glue, EMR, Rekognition, Polly, Lex, and Redshift
• Understanding and building metadata about images and videos
• Experience with deployment on models on mobile/edge devices, and as APIs for images and videos
• Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis
• Practical knowledge of statistical packages with python and open-source technologies
• Experience with Machine & Deep Learning algorithm
• Experience with Devops to manage data and model versions
• Experience working with relational & columnar databases
• Data cleansing and standardization i.e. duplicates, garbage sanitization etc.
• Data manipulation/transformation to uncover trends and insights i.e. sub setting, pivoting, summarization, sorting etc.

• Process Orientation (Foundational)
• Setting up, adherence and highlighting deviations in any processes and ensuring continuous improvements
• Stakeholder Relationship management & Communication (Capable)
• Ability to develop constructive relationship and communication channel with various stakeholders.
  Proficiency Levels for Competencies:- Basic- elementary understanding & familiarity
• Foundational- ability to apply knowledge in certain areas
• Capable- solid understanding and ability to apply knowledge in most areas
• Advanced- Thorough in-depth understanding
• Master- Advisory Expert in subject knowledge
• QUALIFICATION
• B.SC/MSc in Mathematics or statistics + MS in Data Science

Experience

1-3 Years

Job Types: Full-time, Regular / Permanent, Contractual / Temporary

• Salary: 70,000.00 - 110,000.00 per month