Analytics Insight has listed the top data science job aspirants should apply for this week.

Data science professionals get an average salary of US$100,560, according to the US Bureau of Labor Statistics. While their experience in the data science field rises, data scientists can have command over their considerably higher pay packages. The evolution and importance of data science jobs spiraled in the past decade. The eruption of cloud computing accelerated the adoption of artificial intelligence, which further brought in the concept of data science. Organizations across the globe realized the importance of technology and opened the door for data science vacancies. However, technology is an evolving field that needs learning. Fortunately, every year, there are more updates on the knowledge and experience of data science. Data science job aspirants also learn more about the updates of the technology via online data science communities and courses. When the demand for data science professionals is surging, Analytics Insight has listed the top data science jobs to apply for this week.

Top data science jobs to apply for this week

Insights Analyst at LinkedIn

Location: Bengaluru, Karnataka, India

About the company: LinkedIn is a social network platform that focuses on professional networking and career development. It is a simple job source platform based on principles like connecting to friends or LinkedIn connections, posting updates, sharing and liking content, and instant messaging other users. Today, over 756 million members in more than 200 countries and territories worldwide use the platform.

Roles and responsibilities: As an Insights Analyst at LinkedIn, the candidate is expected to leverage one of the richest datasets in the world to discover insights that help the company's sales team serve its clients. One should be highly analytical, be comfortable structuring and scoping ambiguous requests, have a passion for querying databases, and enjoy presenting their findings in a visually compelling way. They should interrogate databases to extract necessary data and visualize findings in Excel, PowerPoint, Tableau, or other data visualization software. The candidate should act in a consultative capacity to their sales partners and the wider business area of data-driven insights.

Qualifications:

• The candidate should have 3+ years of experience in a client-facing role- data interrogation, analysis, and visualization.
• One should also have hands-on experience in SQL or a similar data querying language.
• They should own a BA/BS degree in math, marketing, statistics, economics, or related quantitative field.
• Other mandatory experiences include working in the technology and/or consulting industry, providing actionable insights to customers.
• The candidate should have experience in Teradata, Hadoop, Python, etc.

Apply here for the job.

Data Science Consultant at KPMG

Location: Bengaluru, Karnataka, India

About the company: KPMG is one of the leading providers of risk, financial, and business advisory, tax and regulatory services, internal audit, and corporate governance. The company values integrity, excellence, courage, and other qualities in a person and believes in providing an inclusive culture. The leadership team is the principal governing body of KPMG's operations in India.

Roles and responsibilities: According to KPMG, the candidate who is expected to fill the position should be strong on statistics, have exploratory data analysis, machine learning, and predictive modeling skills. One should know different algorithms and should be able to able to ask WHY and suggest alternatives, instead of doing as directed. They should have strong hands-on skills in either R or Python programming. Besides, others skills like exposure to NLP, Neural networks, Databricks, spark, etc are preferred.

Qualifications:

• The candidate should have 3-8 years of relevant experience in the data science field.
• Graduation in B.E/B.Tech & Post Graduation in M.Tech/MS is mandatory.

Apply here for the job.

Data Science Specialist at Wipro

Location (s): Bengaluru, Chennai, Pune, Gurgaon- India

About the company: Wipro Ltd is one of India's leading tech companies, providing IT services including Business Process Outsourcing (BPO) services globally. Wipro 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.

Roles and responsibilities: As a data science specialist, the candidate will be part of Wipro Digital-Intelligence Enterprise Practice. The role entails leveraging data science and machine learning to solve typical problems within an organization and create IP that could be deployed in a productized mode. One is expected to have hands-on experience with Python or R. They should be well-versed in using industry-leading BI tools and technologies for analytic purposes. The candidate should have prior experience in using big data frameworks like Hadoop. Other responsibilities include data preparation for modeling like missing data imputation, outlier treatment, scaling, normalization, standardization, etc.

Qualifications:

• The candidate is expected to have experience in building solutions using the model library.
• One should know to feature selection, provide tree-based ensemble models, etc.

Apply here for the job.

Data and Analytics Analyst at Google

Location: Chicago, Illinois

About the company: Google LLC is an American search engine company that offers more than 50 internet services and products, from email and online document creation to software for mobile phones and tablet computers. More than 70% of the world's online search requests are handled by Google, placing it at the heart of most Internet users' experience.

Roles and responsibilities: Working as a Data and Analytics Analyst at Google Procurement Organization (GPO), the candidate will support the center of excellence team who is responsible for developing, deploying, and ingraining best practices throughout the organization related to activities such as the procurement process, systems, metrics, reporting, or training, including building 'infrastructure' for the team. One should research new ways to modeling data to unlock actionable procurement insights and monitor performance indicators, highlight trends, and analyzing causes of unexpected variance. They should make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.

Qualifications:

• The candidate should have 7 years of experience in procurement, supply chain, manufacturing, or operations.
• One should have hands-on experience with data visualization tools or platforms (Eg. Dashboards, Tableau, etc).
• They should have experience in a language (R, Python, Stata, etc) for statistical computing.
• The candidate should have experience in data analytics, data modeling, and data management.

Apply here for the job.

Data Analyst at Intel

Location: Folsom, CA

About the company: Intel or Intel Corporation is an American manufacturer of semiconductor computer circuits. Founded in 1968, Intel's technology has been at the heart of computing breakthroughs. The company stands at the brink of several technology inflexions including artificial intelligence, 5G network transformation, and the rise of intelligent edge.

Roles and responsibilities: The data analyst vacancy is a global role, with accountability to stakeholders across a variety of regions and functional groups. The candidate will be responsible for managing and further defining the processes by which additions and modifications are made to Intel's customer information systems, and for facilitating adherence to data governance standards. One should execute customer data synchronization across various systems to create and maintain a seamless customer experience. They should identify the troubleshoot discrepancies in customer profile information using a combination of defined processes, research, and critical thinking. The candidate is expected to have strong knowledge of best practices in data management. They should also possess strong data mining, analytics, and problem-solving skills.

Qualifications:

• The candidate should have a minimum educational requirement: Relevant college degree (BS Degree) in a related discipline, such as business, management, information systems, or data science.
• One should have 5+ years of work experience with data management, process documentation, and complex problem-solving.

Apply here for the job.