Data Science/Big Data Mining

Job Description

Job title: Data Scientist

Organization Name: NEC Corporation India

Reporting Relationship: Rajarajan Subramanian

Role Summary:

We are looking for Data Scientist who will be responsible for collaborating with clients to understand business requirements and translate them into actionable data insights. This role involves end-to-end data processing, from cleansing and verifying data integrity to selecting relevant data sources and applying appropriate algorithms for pattern discovery. The Data Scientist will lead strategic decision-making processes by extracting actionable insights and making data-driven recommendations. Also develop machine learning based (including Gen AI/LLM) solutions. The position requires a strong adherence to data science ethics and involves direct communication with stakeholders to present findings and influence decisions.

Responsibilities:

• Works with client to identify the business requirements and the expected outcome
• Collaborates with client subject matter experts to select the relevant sources of information
• Processing, cleansing, and verifying the integrity of data used for analysis
• Extraction of insights from data and decision support: Supporting strategic and operational decision making in order to create business impact
• Makes strategic recommendations on data collection
• Selecting features and employs the appropriate algorithm to discover patterns
• Develops innovative and effective approaches to solve client’s analytics problems and communicates results and methodologies
• Communicating results to key stakeholders; and convincing decision-makers of their results
• Provides business metrics for the overall project to show improvements
• Leads the design and enhancement of algorithms
• Adhering to the data science ethics framework

Skills:

• Excellent understanding of machine learning algorithms such as SVM, Anomaly deduction,

   Neural Networks, PCA, Recommendation Algorithms.

• Knowledge or Experience in developing Gen AI/LLM based solutions.
• Knowledge of Statistical modelling and data mining techniques
• Knowledge of computer science algorithms in general would be a plus
• Should have successfully worked on predictive solutions
• Must be skillful in feature engineering techniques.
• Must be proficient in Python and Linux
• Knowledge in cloud platforms – AWS or GCP or Azure
• Experience with data visualization tool is preferred
• Domain expertise in one or more industry verticals is essential
• Expertise in optimization techniques such LP, Quadratic Programming, etc would be advantage

Prerequisites:
Preferred Skills (Not Mandatory):

• Knowledge in any web application framework like Python Django, Streamlit, etc
• Understanding of MLOps practices and tools for deploying and monitoring machine learning models in production.

Qualification:

 Bachelors or Masters in Engineering, Machine learning or Applied Mathematics

Relevant Experience:

• 5+ years of experience

Base location: Bangalore

Specialization Description

Data Science/Big Data Mining work includes:

• Creating data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets
• Analysis may be applied to various areas of the business (e.g., Market Economics, Supply Chain, Marketing/Advertising, Scientific Research, etc.)
• Researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions
• At higher career levels, may conduct scientific research projects with the goal of breaking new ground in data analyticsSpecialization Match Note: Machine Learning techniques may be used to solve business problems and/or derive actionable business insights.

Level Description

Senior level professional that applies advanced knowledge of job area typically obtained through advanced education and work experience. Works independently applying an advanced knowledge of a job area typically obtained through advanced education and work experience. Works to achieve results in a job area, overseeing and managing projects/ processes independently with limited supervision. Problems faced are difficult and are sometimes complex, though are routine. Coaching and reviewing the work of lower level professionals.