Analytics Insight has listed top data science jobs that aspirants can apply for this week

From the time when companies started adopting artificial intelligence and other technologies into their working system, they came to know the importance of data. Therefore, companies hired data scientists and gave them a bunch of data to solve internal issues. This is where data science evolved. Unfortunately, the talent shortage in the data science landscape is real. Many data science jobs listed under general titles like data scientist, application architect, data analyst, data engineer, machine learning engineer, etc. require more than what they were entitled to do. Thankfully, every year, there is more knowledge and experience about what data science actually means. The data scientist communities are also working collaboratively to come out with top-notch performing professionals. According to a recent LinkedIn report, data science and artificial intelligence is at 14th and 15th place in the list of top in-demand jobs for 2021. Analytics Insight has listed top data science jobs that aspirants should apply for this week.

Top data science job vacancies

Data Science Analyst at Accenture

Location: Bucharest, Romania

About the company: Accenture is an Irish-domiciled multinational company that provides consulting and processing services. With 482,000 staff in more than 120 countries, Accenture leverages a range of services and solutions in strategy, consulting, digital, technology, and operations. The company now works with 91 of the Fortune Global 100 and as of 2021, Accenture has made nineteen consecutive appearances on the list of Fortune's 'World's Most Admired Companies.'

Roles and responsibilities: As a data science analyst, the candidate will participate in exciting projects related to the application of machine learning, advanced analytics, and artificial intelligence techniques and tools to solve the problems of clients. One should learn how to apply advanced techniques to visualize, predict or forecast real-life business-related problems. They should help Accenture's clients to understand and identify unspoken needs. The candidate should build, deploy, and maintain end-to-end solutions that reduce complexity and cost, using the knowledge base of Accenture from different parts of the world.

Qualification:

• University degree, preferably in Math, technical, or data-oriented.
• The candidate should have a minimum of two years of experience in a data science role, creating machine learning algorithms.
• Prior data science experience in financial services or with anti-money laundering would be preferred.

Apply here for the job.

Data Science (Senior) Consultant at Capgemini

Location: Warsaw, Mazowieckie, Poland

About the company: Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. Founded in 1967 by Serge Kampf, Capgemini helps its clients by developing their business with the help of technology and digital solutions that fit their needs, thus enabling them to achieve competitiveness and innovation. The company is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fuelled by the fast-evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering, and platforms.

Roles and responsibilities: As a data scientist, the candidate should help Capgemini discover the information hidden in vast amounts of data and aid the stakeholders to make smarter decisions. One's primary focus will be in applying data mining techniques, doing statistical analysis, and building quality ML/DL algorithms. As an internal part of the global data science community within Capgemini Invent and Capgemini group, the candidate will help the company's clients towards transformations using AI/data science or automation technology at the forefront of innovation. One should develop programs, external courses, education & certificates co-funding, NEXT platform with free access to TED talks.

Qualification: 

• A minimum work experience of 2 years in the data science or analytics domain is mandatory.
• The candidate should have experience in using statistical software, scripting languages, and packages such as Python, R, Matlab, SAS, Pearl, Caffe, etc.
• One should have architectural/feature knowledge of Google Cloud Platform, Amazon Web Services, Microsoft Azure, Salesforce Einstein, and Adobe Sensei.
• The candidate should have good communication skills. (German, French, Spanish are a plus)

Apply here for the job.

Data Scientist at Condé Nast

Location: Chennai, Tamil Nadu, India

About the company: Condé Nast is a global media company and home to some of the world's most iconic brands, including Vogue, The New Yorker, GQ, Vanity Fair, Wired, Architectural Digest (AD), Condé Nast Traveler, and La Cucina Italiana. Headquartered in New York and London, Condé Nast operates in 32 markets including China, France, Germany, India, Italy, Japan, Mexico, And Latin America, Russia, Spain, Taiwan, the UK, and the US, with additional license partners throughout the world.

Roles and responsibilities: As a data scientist at Condé Nast India, the candidate will support enterprise initiatives on data-driven performance marketing, segmentation, and campaign forecasting/optimization through in-depth & quantitative analyses of consumer data. One should work with the business stakeholders like consumer marketing, commercial business, Condé Nast entertainment, and other stakeholders throughout the organization to identify opportunities that leverage company data to drive business goals. They should conduct statistical analysis and extensive data exploration of content as well as consumer web, demographic, behavioral, and transactional datasets in support of strategic initiatives.

Qualifications:

• The candidate should have 5-7 years of experience as a data scientist.
• One should have experience with advanced ML techniques such as deep learning and its applications like NLP, computer vision, etc.
• They should have expert-level proficiency in Python/PySpark, SQL, Julia, or R.

Apply here for the job.

Data Science Specialist at Wipro Limited

Location: Chennai, Bengaluru, Pune, Gurgaon- India

About the company: Wipro Limited is one of India's leading tech companies, providing IT services, including Business Process Outsourcing (BPO) services globally. The company harnesses the power of cognitive computing, hyper-automation, robotics, cloud, analytics, and emerging technologies to help its clients adapt to the digital world and make them successful. Wipro provides comprehensive IT solutions and services, including systems integration, information systems outsourcing, IT-enabled services, package implementation, software application development and maintenance, and research and development services to corporations globally.

Roles and responsibilities: As a data science specialist, the candidate will be a part of Wipro Digital-Intelligent Enterprise practice and use data science and machine learning to solve typical problems within an organization and create IP that could be deployed in a productized mode. This will entail significant hands-on work on multiple big data technologies, data analysis, identifying data patterns, machine learning models, insight generation, etc.

Qualifications:

• The candidate should have hands-on experience with Python or R.
• One should use industry-leading BI tools and technologies and know supervised/unsupervised machine learning algorithms.
• They should have experience in using big data frameworks like Hadoop.

Apply here for the job.

Senior Analyst, Data Science Commercial Analytics at Johnson & Johnson

Location: New Brunswick, New Jersey

About the company: Johnson & Johnson is a holding company, which engages in the research and development, manufacturing, and sale of products in the healthcare field. Johnson & Johnson operates through consumer health, pharmaceutical, and medical devices. The company believes that good health is the foundation of vibrant lives, thriving communities, and forward progress. For more than 130 years, Johnson & Johnson has aimed to keep people well at every age and every stage of life.

Roles and responsibilities: As a senior analyst and data science commercial analytics, the candidate is responsible for analyzing commercial outcomes and provides insights throughout the product lifecycle, and joins hands with business partners to deliver impact. One should be held accountable for developing analytical prototypes and scalable analytics solutions to provide competitive advantages to the J&J healthcare space. They should understand the business opportunities within individual franchises to enable profitable growth. The candidate should develop analytical solutions to address the opportunities and partner with business and technology to deploy the solution to achieve impact.

Qualification: 

• The candidate should have an advanced degree in STEM or related discipline (Eg: Statistics, operations research, computer science, mathematics).
• One should have relevant 3-5 years of relevant experience.
• Master's in relevant field with 1-3 years of relevant work experience in data analysis or related field is preferred.
• The candidate should have a strong demonstrated understanding of machine learning methods and applied statistical packages as applied to data analysis within open-source scripting languages.

Apply here for the job.