Top data science positions need to be aimed for this week, according to Analytics Insight.
Because big data affects every industry, the demand for skilled data analysts has risen significantly in recent years. Even non-tech organizations with no IT departments or infrastructure are looking for data scientists to help them with data and analytics. The advent of cloud computing, IoT, and data centers, on the other hand, has pushed data science to the forefront.
Top 3 data science job of the week
At Huawei Technologies India, SDE Lead Data Scientist-L3
Location: Bengaluru, Karnataka, India
About the company: Huawei is a global leader in ICT infrastructure and great products. The company started in 1987, is dedicated to delivering digital technology to every person, household, and organization to create a fully linked, intelligent world.
Huawei Technologies India Pvt. Ltd. was founded in Bengaluru in 1999 and is Huawei Technologies Co. Ltd.’s first overseas research and development center. Huawei Technologies India has grown in importance in Huawei’s projects, producing future-oriented innovations, during the last few years.
Roles and responsibilities: As a lead data scientist, the candidate will be responsible for assisting Huawei India in discovering information hidden in massive volumes of Advertising Campaign data, as well as assisting them in optimizing the campaign to increase sponsor ROI and entire user experience.
Qualification: The ideal applicant will have extensive expertise developing and testing big data techniques and models, such as deep learning models such as Aeq2Seq/GRU/RNN/LSTM, Knowledge Graph, Massive Graph Algorithms, and so on.
Intel Corporation’s Data Analyst
Location: Folsom, CA
About the business: Intel Firm is a semiconductor chip manufacturing multinational corporation based in the United States. Intel’s technology has used computing breakthroughs since its founding in 1968. The company develops game-changing technology that accelerates global progress and improves people’s lives.
Roles and responsibilities: As a data analyst, the candidate will be in charge of maintaining and further defining the processes through which the company’s customer information systems are added to and modified, as well as supporting data compliance.
Qualification: The candidate should have a background in the field (BSc degree in business, management, information systems, or data science).
KPMG’s Data Science Consultant
Location: Bengaluru, Karnataka, India
About the company: The third-largest accounting firm in the world is KPMG International. KPMG India, which opened its doors in 1993, has quickly established itself as an essential player in the Indian market.
Roles and responsibilities: A solid command of statistics, data analysis, machine learning, and predictive modeling is needed for the data science consultant. One should be able to validate many algorithms and determine why one should choose one over another, as well as how to tune them.
Qualification: The ideal candidate will have 3-8 years of relevant data science expertise. A bachelor’s degree (B.E/B.Tech) is required. A post-graduate degree, such as an M.tech or M.S., is also desirable.
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