Data Scientist

Skills:

Python (Programming Language), MATLAB, Big Data, Tableau, Data Analytics,.

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.

Functional Competencies/Skills Required.

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.

MANAGERIAL COMPETENCIES.

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:Basicelementary understanding & familiarity.

Foundationalability to apply knowledge in certain areas.

Capablesolid understanding and ability to apply knowledge in most areas.

AdvancedThorough in-depth understanding.

MasterAdvisory Expert in subject knowledge.

QUALIFICATION.

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.