Main openings to apply this week

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by Adilin Beatrice


June 1, 2021

Analytics Insight has listed the top candidates for data science jobs for this week.

Data science professionals earn an average salary of US $ 100,560, according to the US Bureau of Labor Statistics. As their experience in the field of data science increases, data scientists can master their significantly higher compensation packages. The evolution and importance of data science jobs have exploded over the past decade. The eruption of cloud computing has accelerated the adoption of artificial intelligence, which further brought the concept of data science. Organizations around the world have realized the importance of technology and have opened the door to vacancies in data science. However, technology is an evolving field that requires learning. Fortunately, every year there are more updates on data science knowledge and experience. Applicants for data science jobs also learn more about technology updates through communities and online data science courses. When the demand for data science professionals increases, Analytics Insight has listed the best data science jobs to apply for this week.

Top Data Science Jobs To Apply This Week

Insights Analyst at LinkedIn

Location: Bengaluru, Karnataka, India

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

Roles and responsibilities: As an Insights Analyst at LinkedIn, the candidate must leverage one of the richest data sets in the world to uncover insights that help the company’s sales team serve its customers. You need to be very analytical, be comfortable structuring and defining ambiguous queries, have a passion for querying databases and like to present their results in a visually compelling way. They have to query the databases to extract the necessary data and visualize the results in Excel, PowerPoint, Tableau or any other data visualization software. The candidate is expected to act in an advisory capacity to their business partners and the broader data-driven information business area.

Qualifications:

  • The candidate must have more than 3 years of experience in a role of interrogation, analysis and visualization of data in direct contact with the client.
  • You should also have practical experience with SQL or a similar data query language.
  • They should have a BA / BS in Mathematics, Marketing, Statistics, Economics or a related quantitative field.
  • Other mandatory experiences include working in the technology and / or consulting industry, providing actionable insights to clients.
  • The candidate must 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 a leading provider of risk, financial and business advisory, tax and regulatory, internal audit and corporate governance services. The company values ​​integrity, excellence, courage and other qualities in a person and believes in creating an inclusive culture. The management team is the primary governing body for KPMG’s operations in India.

Roles and responsibilities: According to KPMG, the candidate who should fill the position should be strong in statistics, have skills in exploratory data analysis, machine learning and predictive modeling. You need to know different algorithms and be able to ask WHY and suggest alternatives, instead of following instructions. They should have strong practical skills in R or Python programming. Also, other 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 field of data science.
  • Obtaining the diploma in BE / B.Tech and post-diploma in M.Tech/MS is compulsory.

Apply here for the job.

Data Science Specialist at Wipro

Locations): Bangalore, Chennai, Pune, Gurgaon – India

About the company: Wipro Ltd is one of India’s leading technology companies providing IT services including Business Process Outsourcing (BPO) services worldwide. Wipro harnesses the power of cognitive computing, hyper-automation, robotics, cloud, analytics and emerging technologies to help its customers adapt to the digital world and succeed.

Roles and responsibilities: As a Data Science Specialist, the candidate will be part of Wipro Digital-Intelligence Enterprise Practice. The role is to leverage data science and machine learning to solve typical problems within an organization and create intellectual property that could be deployed in product mode. One is expected to have hands-on experience with Python or R. They should be well versed in the use of advanced BI tools and technologies for analytical purposes. The candidate must have previous experience in using Big Data frameworks like Hadoop. Other responsibilities include preparing data for modeling, such as imputing missing data, dealing with outliers, scaling, normalization, normalization, etc.

Qualifications:

  • The candidate should have experience building solutions using the template library.
  • You have to know how to select features, provide assembly models based on trees, 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 provides more than 50 Internet products and services, from creating email and online documents to software for mobile phones and tablets. More than 70% of online search queries worldwide are handled by Google, which puts it at the heart of the experience of most Internet users.

Roles and responsibilities: Working as a Data and Analytics Analyst at Google Procurement Organization (GPO), the candidate will support the Center of Excellence team which is responsible for the development, deployment and integration of best practices throughout the organization related to activities such as the procurement process, systems, metrics, reports or training, including the creation of an “infrastructure” for the team. Find new ways to model data to unlock actionable purchasing insights and monitor performance metrics, highlight trends, and analyze the causes of unexpected discrepancies. They need to make business recommendations with effective presentations of results to multiple levels of stakeholders through visual displays of quantitative information.

Qualifications:

  • The candidate must have 7 years of experience in procurement, supply chain, manufacturing or operations.
  • You should have hands-on experience with data visualization tools or platforms (e.g. dashboards, Tableau, etc.).
  • They must have experience in a language (R, Python, Stata, etc.) for statistical computation.
  • The candidate should have experience in data analysis, data modeling and data management.

Apply here for the job.

Data Analyst at Intel

Location: Folsom, California

About the company: Intel or Intel Corporation is an American manufacturer of solid-state computer circuits. Founded in 1968, Intel technology has been at the heart of computer advancements. The company is on the brink of several technological inflections, including artificial intelligence, the transformation of the 5G network, and the rise of the smart edge.

Roles and responsibilities: The vacant Data Analyst position is a global role, with accountability to stakeholders in a variety of regions and functional groups. The candidate will be responsible for managing and defining the processes by which additions and changes are made to Intel’s customer information systems, and for facilitating compliance with data governance standards. Customer data synchronization must be performed on various systems to create and maintain a seamless customer experience. They should identify troubleshooting gaps in customer profile information using a combination of defined processes, research, and critical thinking. The candidate should have a solid knowledge of best practices in data management. They should also have strong data mining, analytical and problem-solving skills.

Qualifications:

  • The candidate must have a minimum education requirement: relevant university degree (BS degree) in a related discipline, such as business, management, information systems or data science.
  • One should have more than 5 years of work experience in data management, process documentation and complex problem solving.

Apply here for the job.



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