How many Data Scientist jobs in India are there?

There are 1,492 open Data Scientist jobs in India right now, from 315 employers. 380 of them were posted in the last 7 days. The list is read hourly from the employers' own career sites, and a job leaves it once the employer takes it down.

Which companies are hiring for Data Scientist jobs in India?

Capgemini (128), Amazon (92), Walmart (47), Amgen (45) and Deloitte India (South Asia) (44) have the most openings. Each name opens that employer's page with all of its roles.

Are there remote or work from home Data Scientist jobs?

Yes. 46 of these jobs are remote (3.1%) and open to candidates in India. Work From Home Data Scientist Jobs lists every one of them.

Which cities have the most Data Scientist jobs?

Bangalore (726), Hyderabad (312), Pune (219) and Delhi NCR (197). Remote roles open to candidates in a city are counted there too.

Data Scientist Jobs in India

1,492 open jobs · 380 new this week · updated hourly from company career sites

1,492 Data Scientist roles are open across India, from 315 employers' own career sites. Capgemini, Amazon and Walmart have the most openings. Most are in Bangalore, Hyderabad and Pune; 380 were posted in the last 7 days.

“data scientist”Posted: Any time

1,492 jobs in India

4,47,774 worldwide jobs · 1,577 employers · Updated just now

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Data Scientist - R01572015

Brillio · IT Services & ConsultingOpen job page

Pune, Maharashtra, India
On-site
Posted today
Data & AI
Employee

Apply on Brillio

About the job

Data Scientist

Job requirements

Experience Range: With at least 4 years of hands-on experience in advanced data science, including statistical analysis and machine learning, and up to 6 years in similar roles Key Responsibilities:

Design and implement robust statistical models using advanced hypothesis testing, regression, and forecasting techniques to deliver actionable business insights

Develop and optimize machine learning algorithms for classification, prediction, and probabilistic graph models utilizing Python, PySpark, and R

Conduct comprehensive statistical analysis with SAS, SPSS, and R Studio to support data-driven decision-making

Build, train, and deploy scalable models using ML frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, and MXNet

Apply advanced time series forecasting methods, including exponential smoothing, ARIMA, and ARIMAX, to analyze trends and predict outcomes

Streamline model deployment and lifecycle management in production environments using KubeFlow and BentoML

Implement and validate data quality checks with Great Expectations and Evidently AI to ensure dataset integrity

Present complex data findings to stakeholders, translating insights into actionable recommendations that drive business outcomes

Required Skills:

Advanced application of hypothesis testing methodologies, including T-Test and Z-Test

Expert-level regression analysis (linear and logistic) for predictive modeling

Proficient programming in Python and PySpark for data manipulation and model development

Extensive experience with statistical analysis using SAS and SPSS

Hands-on expertise in probabilistic graph models for complex data relationships

Mastery of time series forecasting techniques (exponential smoothing, ARIMA, ARIMAX)

Implementation of classification algorithms such as decision trees and support vector machines (SVM)

Deep familiarity with ML frameworks: TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet

Calculation and application of distance metrics (Hamming, Euclidean, Manhattan)

Skilled in R and R Studio for statistical analysis and visualization

Preferred Skills:

Practical experience with Great Expectations and Evidently AI for advanced data validation

Proficiency in cloud-based model deployment tools such as KubeFlow and BentoML

Background in large-scale data processing and distributed computing environments

Expertise in feature engineering and model interpretability techniques

Familiarity with cloud-based data science platforms such as AWS SageMaker, Azure ML, or Google Cloud AI Platform

Desired Qualifications:

Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a closely related discipline

Certification in Data Science or Machine Learning from a recognized institution, such as Microsoft Certified: Azure Data Scientist Associate or TensorFlow Developer Certificate

Questions about Data Scientist jobs in India

How many Data Scientist jobs in India are there?: There are 1,492 open Data Scientist jobs in India right now, from 315 employers. 380 of them were posted in the last 7 days. The list is read hourly from the employers' own career sites, and a job leaves it once the employer takes it down.
Which companies are hiring for Data Scientist jobs in India?: Capgemini (128), Amazon (92), Walmart (47), Amgen (45) and Deloitte India (South Asia) (44) have the most openings. Each name opens that employer's page with all of its roles.
Are there remote or work from home Data Scientist jobs?: Yes. 46 of these jobs are remote (3.1%) and open to candidates in India. Work From Home Data Scientist Jobs lists every one of them.
Which cities have the most Data Scientist jobs?: Bangalore (726), Hyderabad (312), Pune (219) and Delhi NCR (197). Remote roles open to candidates in a city are counted there too.