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

Asbig datatouches all aspects of every industry, the need for talented people who are capable of dealing with data has spiked over the past few years. Even non-tech companies without IT teams and infrastructures are looking fordata scientiststo work with data and analytics. Today,big dataand analytics are considered the driving force behind business operations, marketing strategies, logistical decisions, and the burgeoning field of artificial intelligence. More spotlights on technology have opened the door for moredata science vacancies across different spheres. On the other hand, the rise of cloud computing, IoT, and data centers, has also spiraled the importance of data science. Owing to all the technological developments, thedata science jobmarket has numerous openings throughout the year. Henceforth, Analytics Insight has listed topdata science jobs that aspirants should apply for this week.

Location: Bengaluru, Karnataka, India

About the company: Philips India Limited is a subsidiary of Royal Philips of the Netherlands. Royal Philips is a leading health technology company focused on improving peoples health continuum from healthy living and prevention, to diagnosis, treatment, and home care. Founded in 1930, Philips India Limited leverages advanced technology and deep clinical and consumer insights to deliver integrated solutions.

Role and Responsibilities: As a data scientist, the candidate should design and develop project prototypes and solutions. One should participate in project estimation, planning, and risk management activities. They are responsible for delivering input in the planning process to the project leader. The candidate should ensure that there is proper documentation for the developed solutions and compliance to the quality management system and regulatory requirements.

Qualifications:

Applyhere for the job.

Location: Bengaluru, Karnataka, India

About the company: Huawei is a leading provider of information and communications technology (ICT) infrastructure and smart devices. Founded in 1987, the company is committed to bringing digital to every person, home, and organization for a fully connected, intelligent world. Huawei Technologies India Pvt. Ltc., established in 1999 in Bengaluru, is the first overseas research and development center of Huawei Technologies Co. Ltd. Over the past few years, Huawei Technologies India has evolved to play a bigger role in the innovation journey of Huawei, developing future-oriented technologies.

Roles and responsibilities: As a lead data scientist, the candidate is expected to help Huawei India discover the information hidden in vast amounts of Ad Campaign data, and aid them to optimize the campaign to improve the advertiser ROI and overall consumer experience. Ones primary focus will be in applying data mining techniques, doing statistical analysis, and building high-quality prediction systems using deep learning algorithms integrated with the companys products. They should take up key challenges in AI-driven smart Ad Serving Platform and focus on research and developing leading AI algorithms and production for Huawei Ads.

Qualifications:

Applyherefor the job.

Location: Bengaluru, Karnataka, India

About the company: KPMG International is the third-largest accounting firm in the world. KPMG India, established in 1993, has rapidly built a significant competitive presence in the country. The companys differentiation is derived from rapid performance-based, industry-tailored, and technology-enabled business advisory services delivered by some of the leading talented professionals in the country.

Roles and responsibilities: The data science consultant is expected to have strong command over statistics, data analysis, machine learning, and predictive modeling. One should know to validate different algorithms and choose why to use one v/s the other, how to tune, etc. They should be strong on either R or Python programming and also should know code versions through GitHub.

Qualifications:

Applyherefor the job.

Location: Folsom, CA

About the company: Intel Corporation is an American multinational corporation and technology company working on semiconductor chip manufacturing. Founded in 1968, Intels technology is used as a computing breakthrough. The company creates world-changing technology that enables global progress and enriches lives. Intel is initiating further trailblazing solutions in artificial intelligence, 5G network transformation, the rise of intelligent edge, etc.

Roles and responsibilities: The data analyst role is a global position with accountability to stakeholders from across a variety of regions and functional groups. As a data analyst, the candidate will be responsible for managing and further defining the processes by which additions and modifications are made to the companys 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.

Qualifications:

Applyherefor the job.

Location: New York, United States

About the company: American Express is a global travel, financial, and network services provider. The company provides individuals with change and credit cards, travelers cheques, and other stored value products. American Express has moved from freight forwarding to travel to cards to innovative digital products and services, with a constant goal to earn customers loyalty and trust.

Roles and responsibilities: As a data analyst, the candidate will assist in the expansion of the Amex Ethics Office Code of Conduct Reporting. The job role requires a candidate who has experience in data modeling, manipulation, and processing to enhance the AEO Code of Conduct database. One is also responsible for assisting in creating dashboards through business intelligence tools to automate American Expresss analytic capabilities. They should work closely with technology partners to debug components, identify fixes, and verify remediation of code defects.

Qualifications:

Applyherefor the job.

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Data Science Jobs: Who's Hiring & Where can You Apply for this Week? - Analytics Insight