Hyderabad, which is already emerging as a technology hub indeed has a lot of promising Data Science careers awaiting this September. From fraud detection to work with AI, people who are enthusiastic about data can find a job suitable for them. Due to the ever-growing need for analytics, these jobs are a perfect chance to put your knowledge to practice and be a part of some ground-breaking projects.
Below, let us take a look at some of the best available positions for Data Science professionals in Hyderabad this month with specific details of various opportunities offered. It has job openings ranging from finance and technology industry to the healthcare and retail industry; therefore, you will find a suitable position that suits your preference and career path.
What is the role?
Being a Data Scientist at PayPal you will become an essential element of security of financial transactions. Some of your duties will include designing and applying effective Anti-Fraud measures; processing big data to reveal the patterns of fraud and working with client organizations to improve their protection techniques.
Responsibilities:
Develop the concept of machine learning for fraud control and analyze it.
Conduct data mining on large amounts of information to ascertain fraud schemes and develop trends.
Engage clients and discuss the best strategies that will address their unique issues with fraud.
Subscribe to new developments, especially in the technology that is used to counter fraud.
What is the role?
At S&P Global, we are looking for a Data Scientist who will be charged with the responsibility of building the next-gen Artificial Intelligence products. You will focus on the development of machine learning solutions, the management of production processes and natural language processing for intelligent data.
Responsibilities:
Concerning AI products, design and develop machine learning systems.
Control production pipelines to enhance the management of distribution models.
Apply non-supervised methods of natural language processing to imply some findings from the received data.
Execute effective integration with the cross-functional team hence enhancing product development.
What is the role?
Deloitte’s Data Science and Analytics program is perfect for smart individuals who enjoy playing between the business strategy lines. You will transform business issues into their quantitative solutions, assist groups in identifying data analysis applications, and guarantee project compliance with strategic plans.
Responsibilities:
Assist the guide teams in the use of data analytics tools and methodologies.
Successful Project managers must ensure that the project meets its parent organization’s strategic plan goals and objectives.
Present research results or decisions, especially to the project sponsor.
What is the role?
Infosys Finacle is in search of a data scientist to get acquainted with the mammoth banking data they handle. You will craft intelligent data solutions, design machine learning including heuristics, and apply statistical tools to improve customer satisfaction, and increase sales.
Responsibilities:
Identify a set of machine learning models for banking applications.
Assess massive data of banking clients to recognize certain patterns and implications.
Increase customer value to facilitate business revenues and improve users’ satisfaction based on effective analytical techniques.
Coordinate across the multi-disciplinary staff to enhance the usage of data for business change.
What is the role?
Google is looking for a data scientist who would be responsible for working with product teams. You’ll create models for various users’ activity, data analysis, insights’ interpretation, and performance recommendations as well as foster an impact on the scope of Google users worldwide.
Responsibilities:
Create statistical models to mathematically predict people’s interaction with the products proposed.
Using different approaches to effectively analyze large and more specifically, complex data sets to arrive at meaningful information extraction.
To recommend actionable findings for product teams based on the translations.
Greatly involve cross-functional teams in the process to influence change on the product.
What is the role?
Microsoft has an opening for a Data Scientist which will facilitate the integration of the software engineering and data science teams. You will work to solve complex impactful business questions using big Azure data as well as help in the creation of sophisticated data visualization tools while working hand in hand with engineers and other data scientists.
Responsibilities:
The ability to handle large-scale data for bearing business challenges on Azure.
Develop the visualization tools as well as make major contributions to them that will be beneficial in the future.
Work with engineers and other data analysts in other fields in joint projects.
Develop metrics regarding the use of business intelligence to enhance organizational performance.
What is the role?
Amazon is creating the future of interaction between humans and computers and will appreciate your language skills. You are going to develop and prepare topical, accurately labeled data for text, audio, and video AI models when working as an ML Data Associate. Some of the things to do will include accuracy, efficiency, and being involved in the building of responsible AI.
Responsibilities:
Ensure that the AI models get trained on the right labeled data.
Make sure that all the data collected is correct and in line with data collected in the past.
Expand the best practices in the usage of Artificial Intelligence.
Work together with machine learning scientists and engineers.
What is the role?
Qualcomm is currently recruiting for a Data Scientist who will be responsible for conducting and contributing to innovative research on artificial intelligence. You will be involved in multiple contexts that entail creating new algorithms and improving on existing ones while mainly focusing on data science implementation.
Responsibilities:
Calculate and create machine learning to solve the big problems.
Integrate with other cross-functional teams to define and seek solutions to the research issues identified.
Such a learning algorithm requires the implementation of the recent advancements in data science and machine learning.
Have good and effective communication skills to translate the research findings to technical as well as non–technical people.
What is the role?
Oracle is in the process of recruiting a Data Scientist and looking for talents to work in the field of data science and accomplish a range of projects. You will be getting your hands on several different projects, including creating predictive models as well as analyzing big data, that will have to yield some value to Oracle’s customers.
Responsibilities:
Mastering data analytics technology, identify the ways to generate and apply new ideas to resolve the issues, which are faced in the business environment.
Make and sustain machine learning models for forecasting.
Regression analysis of datasets to generate trends.
Coordinate with the other practicing teams to accomplish the project.
These are some of the many Data Science careers that you can apply for. The competencies you possess together with enthusiasm guarantee success in the occupational world and effectiveness in contributing to society. Well then, what more can you expect that you should wait? Start applying today.
Through the analyses of the job postings, one acquires an insight into the versatility of the data science domain in Hyderabad in terms of offered roles and industries. No matter what your area of interest is, be it fraud detection, artificial intelligence, or business analytics, there’s a career for you. Therefore ensuring that you get the best out of your educational background by being informed and experienced in the current trends of data science will make your career path worthwhile.
1. What are the key skills required for these roles?
The key skills required for these roles include strong data analysis, machine learning, programming (Python, SQL), and domain expertise.
2. What is the salary range for these positions?
The salary range for these positions varies depending on experience, qualifications, and the specific company. However, you can expect competitive compensation in the tech industry.
3. What are the work cultures like in these companies?
The work cultures in these companies vary, but many are known for their innovative environments, collaborative teams, and emphasis on employee growth.
4. What are the career advancement opportunities in Data Science in Hyderabad?
Hyderabad's thriving tech ecosystem offers ample opportunities for career advancement in Data Science. With experience and skill development, you can progress to roles like Senior Data Scientist, Data Science Manager, or even Data Science Director.
5. How can I prepare for a Data Science interview?
To prepare for a Data Science interview, focus on honing your technical skills, practicing data analysis problems, and understanding the company's business and products. Additionally, be prepared to discuss your projects, experiences, and career goals.