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Data Scientist Jobs Chennai 2710 Accenture Vacancies Chennai

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Data Scientist Jobs Chennai
Data Scientist Jobs Chennai

Data Scientist Jobs Chennai



Data Scientist interprets detailed analytics and develops actionable insights to help base concepts on facts and make data-supported decisions. The field encompasses some aspects of statistics, computer science, and also business. a data scientist is forecasted to be among the top sought-after positions. This is because companies that operate in e-commerce, finance, healthcare, logistics, and IT, as well as, other industries, will continue to leverage data analytics and artificial.  intelligence to maintain their competitive edge. Data Scientist Jobs Chennai 

Key Responsibilities

Data Collection and Cleaning

Dumping copy data from and to various unmanaged systems, for instance, databases, web APIs, IoT gadgets, and third-party datasets.

Clearing and processing data and preparing it to be analyzed in a structured form.

Exploratory Data Analysis EDA

Detecting trends and check for relationships, deviations, and other concealed associations within the numbers.

Using mathematical tools to capture indicators and devise a theory.



Model Building & Machine Learning

Preparing and executing models that make predictions as well as offer actionable insights.

Using various methodologies in data science such as regression, classification, and clustering along with systems like recommendation systems and deep learning.

Data Visualization & Communication

Creating analytics dashboards and data visualizations for stakeholder consumption.

Simplifying and presenting the analyzed data and insights to help non-technical teams understand the outcome.

Collaboration & Deployment

Carrying out tasks along engineers, analysts, and product leaders.

Integrating models directly into the production environment and observing their output.

Skills & Qualifications

A bachelor’s or master’s in data science, computer science, statistics, and other equivalent disciplines.

Needed programming tools such as PythonR, and SQL.

Knowledge of machine learning frameworks such as PyTorch, Tensorflow, or Scikit-learn.

Experience with data visualization packages such as Power BI, Tableau, or matplotlib.

Knowledge of big data technologies (Hadoop, Spark) and cloud computing (AWS, Azure, GCP) is considered a plus.

 Interested candidate Drop Resume 9811913992 to WhatsApp

Good listening, communication and problem solving skills.

Selection Process

Multi-stage and involving different techniques to determine level of analytical and technical skills, problem solving capabilities and cultural fit. Typically, the process of selection includes.

Application & Screening

Candidate submits resume and portfolio (projects on GitHub, Kaggle, or others).

Educators review the applications and filter them according to the skills and experience. Aptitude / Technical Test Assessment includes a set of skills including but not limited to: coding, basic SQL, data- driven logic, and clean data sets. A standalone minimal model may sometimes be included.

The roles of Sr. Data Scientist, Machine Learning Engineer, Data Science Manager, and AI Specialist are some potential grown-up positions for a Data Scientist. They could end up guiding teams, architecting physical systems, and shifting towards strategic leadership with experience.

Data Scientist Jobs Chennai

Data Scientist interprets detailed analytics and develops actionable insights to help base concepts on facts and make data-supported decisions. The field encompasses some aspects of statistics, computer science, and also business. a data scientist is forecasted to be among the top sought-after positions. This is because companies that operate in e-commerce, finance, healthcare, logistics, and IT, as well as, other industries, will continue to leverage data analytics and artificial.  intelligence to maintain their competitive edge. Data Scientist Jobs Chennai 

Key Responsibilities

Data Collection and Cleaning

Dumping copy data from and to various unmanaged systems, for instance, databases, web APIs, IoT gadgets, and third-party datasets.

Clearing and processing data and preparing it to be analyzed in a structured form.

Exploratory Data Analysis EDA

Detecting trends and check for relationships, deviations, and other concealed associations within the numbers.

Using mathematical tools to capture indicators and devise a theory.

Model Building & Machine Learning

Preparing and executing models that make predictions as well as offer actionable insights.

Using various methodologies in data science such as regression, classification, and clustering along with systems like recommendation systems and deep learning.

Data Visualization & Communication

Creating analytics dashboards and data visualizations for stakeholder consumption.

Simplifying and presenting the analyzed data and insights to help non-technical teams understand the outcome.

Collaboration & Deployment

Carrying out tasks along engineers, analysts, and product leaders.

Integrating models directly into the production environment and observing their output.

Skills & Qualifications

A bachelor’s or master’s in data science, computer science, statistics, and other equivalent disciplines.

Needed programming tools such as PythonR, and SQL.

Knowledge of machine learning frameworks such as PyTorch, Tensorflow, or Scikit-learn.

Experience with data visualization packages such as Power BI, Tableau, or matplotlib.

Knowledge of big data technologies (Hadoop, Spark) and cloud computing (AWS, Azure, GCP) is considered a plus.

 Interested candidate Drop Resume 9811913992 to WhatsApp

Good listening, communication and problem solving skills.

Selection Process

Multi-stage and involving different techniques to determine level of analytical and technical skills, problem solving capabilities and cultural fit. Typically, the process of selection includes.

Application & Screening

Candidate submits resume and portfolio (projects on GitHub, Kaggle, or others).

Educators review the applications and filter them according to the skills and experience. Aptitude / Technical Test Assessment includes a set of skills including but not limited to: coding, basic SQL, data- driven logic, and clean data sets. A standalone minimal model may sometimes be included.

The roles of Sr. Data Scientist, Machine Learning Engineer, Data Science Manager, and AI Specialist are some potential grown-up positions for a Data Scientist. They could end up guiding teams, architecting physical systems, and shifting towards strategic leadership with experience.

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