Panasonic Lastest Recruitment Drive for Data Scientist Role , Recent Graduates must apply Full Time NEW

Panasonic Lastest Recruitment Drive for Data Scientist Role , Recent Graduates must apply .This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in , India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Apply  All Trainee Active Jobs For Freshers

About Company

Job Overview

As a Data Scientist at Panasonic, you will be responsible for analyzing large and complex datasets to extract actionable business insights, build predictive models, and support data-driven decision-making across the organization. You will work closely with cross-functional teams, translating business challenges into analytical solutions, and helping the company leverage advanced analytics and machine learning for strategic outcomes.

Roles & Responsibilities:    

Develop and implement advanced analytical models and machine learning algorithms to extract insights from diverse and large datasets.

Collaborate with business stakeholders to understand requirements and translate them into data solutions.

Automate data processing and analytics workflows for improved efficiency and scalability.

Communicate findings clearly to both technical and non-technical audiences through reports, visualizations, and presentations.

Identify trends and patterns in data to support strategic decision-making.

Work with teams to integrate models into business processes and operational systems.

Stay updated with the latest data science tools, techniques, and best practices.

Contribute to the continuous improvement of data science processes and analytical frameworks within the team.

Education :

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field is typically required.

 Preferred skills:

• Programming: Proficiency in Python or R; strong usage of libraries such as Pandas, NumPy, scikit-learn.

• SQL: Strong SQL skills for data querying and manipulation.

• Machine Learning: Knowledge of ML algorithms and modeling techniques for classification, regression, clustering, etc.

• Data Visualization: Experience with visualization tools like Tableau, Power BI, or libraries like Matplotlib/Seaborn.

• Data Processing: Ability to handle large datasets and automate ETL (Extract, Transform, Load) processes.