TOP 5 Data Science Jobs

Here are the top 5 Data Science Jobs:

  1. Lead Data Scientist BFSI at IBM
  2. Senior Data Scientist at Adidas Group
  3. Senior Data Scientist at Happiest Minds Technologies
  4. Data Scientist + Python + Big data at Capgemini
  5. Senior Data Scientist at Amazon

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TOP 5 Data Science Jobs

15 Latest Data Science And Analyst Jobs To Apply For

For this week’s latest data science job openings, we have come up with a curated list of job openings for data scientists and analysts from last week.

Data Scientists Openings

Data Science Lead at Paytm Money

Location: Bangalore

Responsibilities:

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Is There An Upswing In Data Science Jobs in India

With the world starting to open amidst the COVID-19 pandemic, the number of jobs available in data science sees an upward trend in India as we inch closer to providing vaccines for everyone.

The number of vacancies for data science jobs on the top job portals in India increased by 53% from when India eased the lockdown restrictions on June 8 to Nov 30, according to the data collated by AIMResearch. Although it is difficult to ascertain the exact number of open jobs, the top job portals in India, Naukri, LinkedIn, and MonsterIndia together showed almost 125,000 vacancies on Nov 30.

However, the pandemic did result in a decrease in the number of open data science jobs at the start as vacancies reduced from 101,562 from Dec 17 last year to 81,704 on June 8. Despite this decrease, India’s share of open data science jobs in the world increased from 7.2% in January to 9.8% in August.

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Gerhard  Brink

Gerhard Brink

1620692100

10 Latest Big Data Engineer Openings At Top Firms In India

Extras:

1| Senior Technical Architect at Thoucentric

Location: Bangalore

**Responsibilities: **

  • Design and implement data architecture and ETL for a niche data platform.
  • Bring in-depth understanding on Relational, Big Data and Cloud technologies.
  • Build client relationships and participate in business development and proposal work to grow a strong data engineering sub-practice.

Apply here.

2| Data Engineer at Thoucentric

Location: Bangalore

**Responsibilities: **

  • Build data crawlers to extract data from customers’ data sources using available ETL platforms, and troubleshoot the issues faced during data loading & processing.
  • Design and build data warehouse models in columnar databases.
  • Develop data processing scripts using SQL and optimise complex sequences of SQL Queries.

Apply here.

3| Big Data Engineer at Thoucentric

Location: Bangalore

Responsibilities:

  • Take ownership of end-to-end data-pipeline including system design and integrating required Big Data tools & frameworks.
  • Implementing ETL processes and constructing data warehouse (HDFS, S3, Azure etc.) at scale.
  • Analyse the source and target system data. Map the transformation that meets the requirements.

Apply here.

Find below the data engineer job openings:

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Uriah  Dietrich

Uriah Dietrich

1618449987

How To Build A Data Science Career In 2021

For this week’s data science career interview, we got in touch with Dr Suman Sanyal, Associate Professor of Computer Science and Engineering at NIIT University. In this interview, Dr Sanyal shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.

With industry-linkage, technology and research-driven seamless education, NIIT University has been recognised for addressing the growing demand for data science experts worldwide with its industry-ready courses. The university has recently introduced B.Tech in Data Science course, which aims to deploy data sets models to solve real-world problems. The programme provides industry-academic synergy for the students to establish careers in data science, artificial intelligence and machine learning.

“Students with skills that are aligned to new-age technology will be of huge value. The industry today wants young, ambitious students who have the know-how on how to get things done,” Sanyal said.

#careers # #data science aspirant #data science career #data science career intervie #data science education #data science education marke #data science jobs #niit university data science

Top 10 Highest Paying Data Science Jobs in India [A Complete Report]

The data science landscape is a dynamic space, almost mimicking the real globally, connected world. New technologies are being developed and applied year on year, and the transformation is likely to continue into the coming decade.

There is a rising demand for data science practitioners around the world. These job opportunities would continue to surge beyond 2020, adding more than 1.5 lakh new jobs. This trend is a natural response to data being an important resource for organizations in the digital age. We listed the top 10 highest paying data science jobs in India. This list is updated and irrespective of your work level, beginner/entry-level or middle level, these will help you decide the direction you want to go in next.

If you are aspiring for one of the best data science jobs in India, the salary package is not the only factor. Career growth, job security, and reputation make a career attractive.

If you want to know about the highest paying data science jobs, this article may help you. Currently, about 70% of data science-related job postings require less than five years of experience, provided the candidates possess the necessary qualifications and demonstrate the right skill sets. Read on to get familiar with the job titles, the must-have credentials, and the top recruiters in the data science field!

No Coding Experience Required. 360° Career support. PG Diploma in Machine Learning & AI from IIIT-B and upGrad.

What Does Data Science Involve?

Data science comprises collecting, manipulating, storing, and analyzing data. It facilitates data-driven approaches for decision-making, thus fostering an environment of continuous growth.

Amazon’s online shopping site serves as a prime example of how data collection can improve performance. Amazon customizes the home page views of users based on what they search, purchase, and spend. In other words, it remembers datasets and provides useful product recommendations to fit customer needs.

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