Since many industries rely on technology, data science jobs have gained prominence
In the digital world, analytics has a power that no other technology possesses. Starting from small organizations to medium and big companies, every business is collecting invaluable data to streamline the decision-making process. According to LinkedIn, there is a growing demand for people who can mine and interpret data to effective strategies. These are data science professionals. On a daily basis, data scientists gather, clean, and analyze large volumes of structured and unstructured data to glean insights. Industries including healthcare, education, manufacturing, marketing, telecommunication, etc employ data science professionals for a number of reasons. For example, a marketing firm would recruit data scientists to analyze customer preferences and deliver products according to their needs. Similarly, every industry is seeking candidates who can fill their data science jobs. Since so many people rely on data science, technology has become one of the fastest-growing professions. A quick search on LinkedIn shows more than a hundred thousand results from across the globe. Some of the famous data science jobs are data engineering, data analyst, business intelligence analyst, machine learning engineering, data scientist, etc. Analytics Insight has listed top data science jobs from big tech companies that aspirants should apply for in March 2022.
Top Data Science Jobs to Apply For
Data Scientist- PAN India at Virtusa
Location(s): Hyderabad, Pune, Gurgaon, Chennai, Bengaluru, Mumbai (WFH during Covid)
Roles and Responsibilities: As a data scientist at Virtusa, the candidate should work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. He/she should mine and analyze data from company databases to drive optimization and improvement of product development marketing techniques and business strategies. They should assess the effectiveness and accuracy of new data sources and data gathering techniques. The candidate should develop custom data models and algorithms to apply to datasets.
Qualifications:
- The candidate should have strong problem-solving skills with an emphasis on product development.
- He/she should have experience using statistical computer languages like R, Python, SLQ, etc. to manipulate data and draw insights from large datasets.
- They should have experience working with and creating data architectures.
- Knowledge of advanced statistical techniques and concepts and experience with applications is mandatory.
Data Scientist at Amazon
Location(s): Hyderabad, Pune, Bengaluru
Roles and Responsibilities: The data scientist should understand the internal customers’ business needs and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances. He/she should assist internal customers by being able to deliver an ML/DL project from beginning to end including understanding the business need, aggregating data, exploring data, building and validating predictive models, and deploying completed models to deliver business impact to the organization. They should use deep learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTF, and Keras to help Amazon internal customers build DL models.
Qualifications:
- The candidate should have a Bachelor’s or Master’s degree in a highly quantitative field like computer science, machine learning, operational research, statistics, mathematics, etc.
- 7+ years of industry experience in predictive modeling, data science, and analysis is mandatory.
- He/she should have previous experience in an ML or data scientist role and a track record of building ML and DL models.
- They should have experience using Python and/or R.
Senior Data Scientist at HCL
Location(s): Noida, Kolkata, Hyderabad, Pune, Chennai, Bengaluru
Roles and Responsibilities: The candidate will be working with the client working on a number of data science use cases. He/she should understand the data ecosystem and the infrastructure in place for data science projects. They should build an end-to-end science model with minimal or no supervision. The candidate should mentor and guide other data scientists on the projects. He/she should have the ability to understand the business use cases and build models.
Qualifications:
- At least 5-years of hands-on experience building data science solutions including 2-years experience building NLP models is mandatory.
- The candidate should have Bachelor’s/Master’s/PhD in statistics, computer science, economics, or a related field.
- He/she should have a research and development mindset.
- They should have experience writing SQL codes for data exploration.
Data & Applied Scientist at Microsoft
Location(s): Hyderabad
Roles and Responsibilities: As a data and applied scientist at Microsoft, the candidate will have the responsibility of researching and developing producing production-grade models for the company’s global cloud business by using statistical and machine learning techniques. He/she should manipulate large volumes of data, create a new and improved solution for data collection, management, analyses, and data science model development. They should drive the onboarding of new data and the refinement of existing data sources through feature engineering and feature selection.
Qualifications:
- B.Tech, M.Tech, M.Sc in statistics, applied mathematics, applied economics, computer science, or engineering, data science, operations research, or similar appliqued quantitative field is mandatory.
- The candidate should have 6+ years of industry experience in developing production-grade statistical and machine learning code in a collaborative team environment.
- He/she should have prior experience in machine learning using R or Python.
- Prior experience in time series forecasting is expected.
Data Scientist- Lead at Wipro
Location(s): Hyderabad, Pune, Chennai, Bengaluru
Roles and Responsibilities: As a lead data scientist, the candidate should do artificial intelligence solution consulting for internal and external business technology users. He/she should translate business problems to analytical problems based on data. They should design end-to-end analytics solution architecture. The candidate should work with data scientists and data engineers to deliver advanced analytics solutions. They should collaborate with multi-disciplinary teams for integrated solutions.
Qualifications:
- The candidate should be a data science professional with commercial acumen.
- Strong analytics experience across finance or energy utilities or healthcare or consumer industries is mandatory.
- He/she should have 10+ years of experience in consulting and data science.
- They should hold a Ph.D./Master in computer science, statistics, economics, or operational research.
Source: analyticsinsight.net
