Data scientist jobs in MNCs require applicants to be technically wise and use advanced tools.

Data science seems to be one of the few career options that survived unscathed during the pandemic. As companies rely more on big data and artificial intelligence, the demand for data scientists and other data science professions has drastically surged. Data will be generated every day, and in return, there will always be a need for someone to make sense of it. Although many companies open their door to welcome talented data science professionals, there is hype for data scientists working in multi-national corporations (MNCs). Data scientist jobs in MNCs require applicants to be technically wise and use advanced tools to extract knowledge and insights from structured and unstructured data. Not just big tech companies, even MNCs in healthcare, communication, banking, education, etc. are also looking for skilled data scientists. According to a report, top data scientist jobs are expected to grow by 16% through 2028. Besides, many MNCs are also readily providing work-from-home facilities for data science professionals. Analytics Insight has listed top data scientist jobs in MNCs that aspirants can apply for today.

Top Data Scientist Job Openings in MNCs

Data Scientist at IBM

Location: Kochi, Kerala

Roles and Responsibilities: As a data scientist at IBM, the candidate will be working with a worldwide team on financial products. He/she will be participating in various solutions and come up with a common approach to be able to solve the issue by using machine learning capabilities. Thye should propose and design the solution and approach to solve a machine learning problem. The candidate needs to develop and code the solution from end to end and be able to integrate with existing offerings. As part of the worldwide team, they should also work on complex problems dealing with financial crimes.

Qualifications: 

• The candidate should have 10+ years of relevant industry experience.
• He/she should have programming skills like Python, R, Scala, Java, etc.
• They should be seasoned data scientists with demonstrated, extensive experience in machine learning and data mining, who can analyze and mine structured and unstructured data, build data-driven predictive models and solutions to support use cases.
• The candidate needs to possess special skills in developing supervised and unsupervised machine learning algorithms.
• They should know big data tools and languages.

Apply here for the job.

Senior Data Scientist at Philips India Limited

Location: Bangalore, Karnataka

Roles and Responsibilities: The data scientist will be part of the Enterprise IT, Information, and Data Science team and drive a strategic and actionable data science architecture to activate the needed business capabilities. He/she should work to deliver business use cases like Care Provider 360 initiative, Product Bundling, Value-Based pricing, Conversational AI, Indirect Trade partner classification, etc. They should ensure the strategic direction for data science capabilities for Philips is created and kept up to date on regular basis. The candidate should continuously evaluate the latest techniques in artificial intelligence, machine learning, robotics, statistical analysis, etc.

Qualifications: 

• The candidate is mandated to have 8-10 years of overall experience in data science or data analytics roles.
• They should also have hands-on experience in multiple machine learning, deep learning, artificial intelligence, pattern recognition areas.
• He/she should have programming experience in Python or any other programming languages such as Azure ML, R, Python, etc.
• The candidate should have the ability to formulate multiple complex business problems into hypotheses and proof of concepts for testing.

Apply here for the job.

Data Scientist at Cognizant 

Location(s): Chennai, Bengaluru

Roles and Responsibilities: As a data scientist at Cognizant, the candidate is expected to discover the information hidden in structured and unstructured data by applying data mining techniques, doing statistical analysis, and building high-quality prediction systems. He/she should evaluate and identify the right machine learning and data science techniques and toolsets to address a variety of predictive analytics problems. The candidate should be an individual contributor as well as a guide to fellow team members in the discovery, design, and development of analytical models.

Qualifications: 

• The candidate is mandated to have an advanced degree in statistics, computer science, machine learning, or related fields such as econometrics.
• He/she should have 10+ years of experience in software engineering and 5+ years of experience in data mining.
• They should be familiar with supervised algorithms such as k-NN, Native Bayes, Decision Trees, Logistic Regression, SVM, Random Forests, Neural Nets, etc, and unsupervised algorithms including clustering, anomaly detection, document similarity, dimensionality reduction, etc.

Apply here for the job.

Data Scientist at LinkedIn

Location: Bengaluru

Roles and Responsibilities: LinkedIn is seeking to recruit a candidate who will work with a team of high-performing analytics, data science professionals, and product managers to identify business opportunities and optimize members' experience at the company. He/she should do reporting and monitoring such as designing, creating, and automating reports and dashboards to track key business metrics in security product areas. They should be able to provide end-to-end deep-dive analytics. The candidate should develop and improve predictive models to optimize the user experience and operational efficiency.

Qualifications:

• The candidate must have 3+ years of relevant academic experience in analytics, data science, working with large amounts of data.
• He/she should have hands-on experience in SQL or relational databases.
• They should also have experience in data analysis tools like Spark, HDFS, Scala, Hive, etc.

Apply here for the job.

Data Scientist at Oracle

Location: Bengaluru

Roles and Responsibilities: Oracle is looking for a candidate who has prior knowledge in data science, predictive modeling, and validation. They are also expected to have PL, SQL, and SQL skills.

Qualification: 

• The candidate should have a B.Tech or B.E degree in any relevant specialization.
• He/she should have 6+ years of experience in the tech sphere.

Apply here for the job.