Vacancy alert for the top data science jobs to apply this week for aspiring data scientists

Data science is the hottest job domain in the global data-driven market in 2021. Companies are instigated to recruit employees for multiple data science jobs such as data scientists, data engineers, data analysts, data architects, and many more. These data science jobs help companies ineffective data management efficiently in this competitive world. This is an alert article for vacancies in data science where one can find a favorable and suitable data science job to earn a lucrative salary package throughout a year. Let's explore some of the top data science jobs to apply for this week in India.

Top data science jobs to apply

Data Scientist: Advanced Analytics at IBM

Location: New Delhi

Responsibilities: The data scientist needs to work with the IBM Q Start team for active exploratory research engagements to prepare for future use case commercialization as well as educate client data science teams to define areas for quantum exploration. It is essential to implement quantum approaches including data pre/post-processing, running numeric as well as data visualizing. The employee should collaborate with the industry and provide solutions to experts to design and shape experiments for quantum-enabled advantages. It is needed to define best practices in information architecture like collection, integration, analysis, and data visualization for effective data management.

Qualifications: The candidate should have a Bachelor's, Masters's, or Ph.D. degree in STEM-related fields with sufficient knowledge in quantum computing. There should be more than five years of data engineering and data science experience with over two years of consulting experience with strong domain expertise. It is essential to have proficiency with classical approaches to ML and linear algebra, Qiskit software, and fluency in English.

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Data Scientist: AI+ML Senior at EY

Location: Kolkata

Responsibilities: The data scientist should be a part of the delivery of data science-related projects for the global customer base. There is hands-on work and delivery of advanced analytics, machine learning, and artificial intelligence projects with efficient client interactions and client management while mentoring juniors.

Qualifications: The candidate should have a B. Tech/ M. Tech/ Masters/ Ph.D. in any technical field such as statistics, economics, computer science, robotics, mechanical engineering, and so on with five to nine years of hands-on experience in machine learning or advanced analytics. There should be sufficient knowledge of statistical techniques, advanced machine learning algorithms, NLP, programming languages, neural networks, and computer vision.

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Data Analyst at Accenture

Location: Mumbai

Responsibilities: The data analyst is required to analyze and solve lower-complexity problems while having day-to-day interaction with peers before updating supervisors regularly. There is limited exposure with clients or Accenture management with moderate level instructions on daily work including new assignments. The candidate needs to be involved in a day-to-day business and discusses with stakeholders while constantly looking for ways to enhance value for clients.

Qualifications: The candidate should have an M.Sc. or MBA from a reputed institution with three to five years of hands-on experience. It is essential to have sufficient knowledge of data science and programming languages such as R and the environment in this industry.

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Data Engineer: Business Intelligence at IBM

Location: Bengaluru

Responsibilities: The data engineer is required to design and develop dashboards, reports, and customize out-of-the-box widgets with the needs of clients. There should be a clear understanding of the document reporting and visualization requirements while performing detailed data analysis, data management, relationships, data validation, and many more. The candidate needs to develop reports and participate in daily reporting scrum sessions.

Qualifications: The candidate should have a Bachelor's degree with a minimum of five years of practical experience. It is essential to have sufficient knowledge of QlikSense with hands-on work with Qlik scripting, report performance optimization, QlikSense extension development in JavaScript, Angular.JS, QlikSense, and Qlikview architecture, and many more. There should be a clear understanding of dimensional and data modeling, analytical SQL functions, drill through, ETL processing methods, metadata management, and many more.

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Data Engineer at Amazon

Location:  Hyderabad

Responsibilities: The data engineer needs to design and deliver big data architectures for experimental and production systems while developing machine learning workflow and integrating with DDB and user interface. It is necessary to develop and maintain datasets in AWS Dynamo DB and AWS S3 and leverage EMR to pre-process, cleanse and transform enormous volumes of datasets. The candidate should orchestrate step functions with Python and collaborate with data scientists, product managers, software engineers, and many more. It is important to innovate and drive strategic decisions during design discussions with stakeholders of the project.

Qualifications: The candidate should have more than five years of experience as an ML engineer, data engineer, and other technical job roles with hands-on experience in database technology like Hadoop, Spark, Scala, and many more. There should be a coding proficiency in Python, Shell, and scalable model training. It is essential to have experience with ML libraries, frameworks, developing and supporting ML production systems, building highly available distributed systems of data extraction, processing of large datasets, data modeling, data warehousing, data management, and many more.

Click here to apply