Companies Hiring Data Scientists in Chennai
Tata Consultancy Services (TCS)
Requirements:
- Proficiency in Python, R, SQL is required to master scientific computing.
- Coursework in machine learning and data visualization would provide me with the relevant skills.
- Powerful analytical and problem-solving qualities, which are key to my career success.
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Infosys
Requirements:
- Statistical analysis mastering, advanced statistical modeling of data.
- This is one of the biggest benefits that learning big data skills can bring to our work.
- Clear communication and good team collaboration are needed.
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Wipro
Requirements:
- Advanced knowledge of data mining techniques
- Familiarity with cloud platforms (AWS, Azure)
- Experience in NLP, deep learning.
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Accenture
Requirements:
- Useful in performing data transformation and dirty data cleaning.
- We specialize in developing and installing ML systems.
- Knowledge of professional areas of activity.
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Cognizant
Requirements:
- Real life practice in data cleaning, data engineering and processing.
- Knowledge of the programming language Python and Java will be of great benefit.
- Understand architecture and functionalities of distributed computing frameworks.
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IBM India
Requirements:
- Deep understanding of statistical techniques
- Working with data preprocessing and analytical exploration.
- Skills in employing ML frameworks (TensorFlow, PyTorch) will be advantage.
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HCL Technologies
Requirements:
- Proving high efficiently in working with the analytics software tools (e.g. SAS, SPSS)
- Data modeling as well as phylogenetic methods, clustering techniques are very essential.
- These behaviors are integral among the successful professionals.
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Amazon Development Centre
Requirements:
- Skill in data mining, ETL operation.
- Hands-on experience with AWS serviçes.
- The ability to solve problems and analyze situations is solid.
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PayPal
Requirements:
- Familiarization with a few data visualization tools (Tableau, Power BI).
- With fraud detection and risk analytics experience.
- High level skills of SQL and database management.
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Paytm
Requirements:
- Knowing how to do Python, R for data analyst.
- Acquiring experience in creation of recommendation systems
- E-commerce and fintech study are also important.
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Deloitte
Requirements:
- 3+ years of relevant experience working in data science with a track record of delivering insights and business impact
- Advanced statistical modeling skills.
- Practice with business intelligence solutions
- The ability to deliver a good consultancy and perform well with the clients.
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Capgemini
Requirements:
- Strong competence in data visualizations e.g. Tableau and QlikView.
- at least 6 months experience, job said, of expertise in Machine Learning, Predictive Analytics.
- Data Governance and quality control are the experience gained in the field.
- First, there is a solid grasp of data problems applicable to industrial sector.
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Oracle India
Requirements:
- At last 1+ year experience of the recent relevant field (entry level).
- Knowledge of Oracle databases and SQL query language abilities.
- Skills in data warehousing, ETL transactions.
- Skills available in OAC (Oracle Analytics Cloud).
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Google India
Requirements:
- Master’s degree or PhD in Statistics, Biostatistics, Operations Research, Physics, Economics, Applied Mathematics, or similar quantitative discipline, or equivalent practical experience.
- Relevant internship or work experience with data. Experience in quantitative methodologies with statistics and causal inference method.
- Experience with statistical software (e.g., R, Python, S-Plus, SAS, or similar).
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Microsoft India
Requirements:
- Proficiency in Azure and SQL Server will enable to develop and deploy scalable and highly available apps quickly.
- Expertise in creating ML solutions at such a scale.
- Being a consistently high performer demands the application of effective problem solving and cooperating abilities.
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Zoho Corporation
Requirements:
- Data analysis as well as visualization skills are included in ones knowledge base.
- A CRM analytics knowledge in customer segmentation is also a must.
- The business model of SaaS is well-established business models.
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Uber India
Requirements:
- Advanced in setting up data analytics instruments ( data which includes Looker, Tableau).
- In the domain of demand forecasting and pricing analytics, I have worked.
- Significant experiences in strategic planning, financial management, and quick decision-making.
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Flipkart
Requirements:
- Advanced SQL querying and the data molding abilities.
- Competence in development of recommendation algorithms.
- Handling supply chain analytics is an essential feature.
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Swiggy
Requirements:
- It is essential for Python and R programming in data analysis.
- Experience in AI provides involved in behavior analysis of users.
- Appreciate of cloud platforms (AWS, GCP).
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Mindtree
Requirements:
- Hands-on experience in data preprocessing
- Strong statistical modeling skills
- Familiarity with agile methodologies
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VMware India
Requirements:
- The Data engineering is the main expertise while data pipelines come into play during the processes of transfer, collection, and data analysis.
- Getting hold of experience working upon distributed computing frameworks.
- People that were strong in problem identification and collective actions would be the ones more likely to survive and thrive.
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Salesforce India
Requirements:
- Expert utilization of the Salesforce CRM tools, data integration of sales distribution covers broad areas through websites, email, online chats, and online advertisements.
- 6+ months as an intern with multitasking in this field.
- Able to respond quickly to consumer feedback to drive continuous product improvement and optimization.
- Well-versed with quantitative sales and marketing analysis.
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Adobe India
Requirements:
- the data visualization specialty (in Adobe Analytics) is expected to be given as well.
- In digital marketing process, the analytics experience.
- Analytical and Storytelling skills which are sound and strong.
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QuEST Global
Requirements:
- Data analytics mastership in the field of industry
- Work in a team to capture and predict data values for cloud computing.
- Providing direct managing and engaging effectively with clients in order to meet their needs is important.
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Mphasis
Requirements:
- 8+ years experience of data science, multi-algorithmic modeling, probability, statistics as well as optimization.
- The ability to extract useful information and machine learning are the main pillars of Big Data.
- Experience in financial analytics
- There is an expectation of the ability to develop expertise on the management of risks.
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Data Scientist Jobs in Chennai
Chennai, being recognized with the sobriquet of Detroit of India because of its highly mechanized auto industry, is now a go-to place for heavy R&D and innovation. This metropolis presents a growing and ever-increasing demand for data scientists who possess highly specialized skills. Data Scientists assume this expansive responsibility of drawing useful inferences from data and directing business operations and decisions. Let’s take a deep dive into the jobs scene of data scientists in Chennai, covering companies, career portals, salaries, and trends for data professionals in the city.
Major roles and responsibilities of a Data Scientist involve:
- Exploratory analysis entails uncovering the patterns, trends, and relationships that prevail within the dataset.
- Utilize statistical methods for data analysis, search for correlations, and pre-vision.
- Create and use machine learning models to select one issue and solve it or be useful for analytical systems.
- Get ahold of the model performance by subjecting it to several evaluation measures and cross-validation procedures.
- Realize and use acquisition techniques from unstructured data for incorporation in the model to attain desired outcomes.
- Use images to present discoveries and conclusions, helping a board of directors or stakeholders to understand the information better.
- Suggestive: Work closely with the cross-functional team and summarize findings to both technical and non-technical parties.
- Know what are the latest resources and information out there, to upgrade, widen, and improve your skills and capabilities.