DATA SCIENCE JOBS ALERT: TOP OPENINGS TO APPLY FOR THIS WEEK

18Jun - by aiuniverse - 0 - In Data Science

Source – https://www.analyticsinsight.net/

The jobs related to data science are in high demand worldwide because of their high salary and interesting ground of work. Data scientists are analytical experts who utilize their skills in both technology and social science to find trends and manage data. They apply industry knowledge, contextual understanding, skepticism of existing assumptions – to uncover solutions to business challenges. A data scientist’s work typically involves making sense of messy, unstructured data, from sources such as smart devices, social media feeds, and emails that don’t neatly fit into a database. The following are the top data scientist jobs, which one can apply for this week.

Data Scientist at Wipro

Location: Chennai, Tamil Nadu

About the company

Wipro India Business, a part of Wipro Limited is a leading global IT transformation, consulting, and business process services provider and a pioneer in the Indian market with decades of experience. They harness the power of application, cognitive computing, hyper-automation, robotics, cloud, analytics, and emerging technologies to help their clients adapt to the digital world and make them successful.

Roles and Responsibilities

Suitable candidates will be part of Wipro Digital-Intelligent Enterprise practice. The role entails leveraging Data Science and Machine Learning to solve typical problems within the organization and create IP that could be deployed in a productized mode. This will entail significant hands-on work on multiple Big Data Technologies, Data Analysis, identifying data patterns, ML models, and insights generation. The role entails deployment in a customer context and managing customer expectations.

Skills Required:

  • Missing Data Imputation, Outlier Treatment
  • Scaling, Normalization, Standardization
  • Encoding for Categorical Variables
  • Oversampling\Undersampling for reducing the class imbalance

Data Analyst at Amazon

Location: Bengaluru, Karnataka

About the company

Amazon teams in India work on complex business challenges to innovate and create efficient solutions that enable various Amazon businesses, including Amazon websites across the world as well as support Payments, Transportation, Cloud,  and Digital products and services like the Kindle family of tablets, e-readers and the store.

Roles and responsibilities

The company is looking for a hands-on, detail-oriented, and highly motivated data analyst to help create data-backed insights that will drive selection improvement. The candidate should be comfortable interfacing with technology systems and be able to analyze data and gather actionable conclusions. Operating in a rapidly changing environment will require the candidate to be adept at dealing with ambiguous, new, and challenging situations. The candidate must be comfortable in executing repeatable processes.

Skills Required

  • Experience with E-Commerce, Retail, and Business Analytics would be an advantage.
  • Understanding of data warehousing, data modeling concepts, and building new DW tables.
  • Advanced SQL skills, fluent in R and/or Python, advanced Microsoft Office skills, particularly Excel and analytical platforms.

Data Analyst at PayPal

Location: Chennai, Tamil Nadu

About the company

Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Their open digital payments platform gives PayPal’s 392 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money and offers choice and flexibility when sending payments, paying, or getting paid. Roles and responsibilities

An ideal candidate for this job will have to be innovative & curious. One should have the desire and ability to connect and empathize with the customers. One should possess an entrepreneurial spirit and get excited about creating new businesses and re-inventing current ones. One should be analytical & action-oriented, data-driven and outcome-focused. One should grow comfortable with ambiguity, fueled by a hunger to learn and constantly seeking out new challenges. One should be collaborative & team-oriented, always keeping the people around in the loop and are excited to communicate complex ideas clearly to make sure the co-workers understand the “why” behind their work and their key priorities.

Skills Required:

  • Experience with or willingness to learn tools such as SQL, R, Python.

Data Science Intern at Sony Research India

Location: Bengaluru, Karnataka

About the company

Sony Research India Private Limited was established in July 2020 as a research company in India as part of Sony’s global R&D centers. Delivering Excitement, Passion, Joy, and Compassion to the World, all is possible with the diverse research opportunities they offer at Sony Research India. We venture into entertainment, healthcare, music, and gaming. They also devise mobility solutions that help people get around securely and safely and support creators to expand their creativity with innovative AI applications. Sony Research India is a place to apply a wide range of technologies to inspire emotion in new fields.

Roles and responsibilities

Together with the head of data science & team of data scientists, work on the research & development activities daily and contribute to reporting, coding, testing, and implementing relevant models. Also, some other responsibilities, but not limited to, will be scraping data from the public domain and researching the content recommendation for the OTT platforms.

Skills Required:

  • Python coding
  • Statistics
  • Strong SQL theoretical knowledge
  • ML basics

Data Scientist at LinkedIn

Location: Bengaluru, Karnataka

About the company

LinkedIn connects the world’s professionals to make them more productive and successful. With more than 756 million members worldwide, including executives from every Fortune 500 company, LinkedIn is the world’s largest professional network. The company has a diversified business model with revenue coming from Talent Solutions, Marketing Solutions, Sales Solutions, and Premium Subscription products. Headquartered in Silicon Valley, LinkedIn has offices across the globe.

Roles and responsibilities

  • Work with a team of high-performing analytics, data science professionals, and product managers to identify business opportunities and optimize member experiences at LinkedIn.
  • Reporting and Monitoring: Design, create and automate reports and dashboards to track key business metrics in security Engineering and security product areas. ETL data, clean and validate data when needed.
  • Product Analytics: Design and analyze experiments to test new product/feature ideas and convert the results into actionable business recommendations. Formulate success metrics for initiatives, create and automate dashboards/reports to monitor them and quickly identify the root cause of the anomaly.
  • End-to-end Deep Dive Analytics: Deep dive into an area, find insights and understand the root cause of an observed trend, and translate the insights into actionable recommendations. When applicable, implement the solution and monitor the performance. Analyze and mine both structured and unstructured data to drive member-centric insights.

Skills Required:

  • Relevant experiences in security analytics, risk analytics, trust & safety analytics from high-tech companies.
  • Experience in applied statistics and statistical modeling in at least one statistical software package, (eg. R, SPSS)
  • Advanced degree in quantitative fields – Computer Science, Engineering, Operational Research, Mathematics, Statistics, Economics, etc.
  • Strong business mindset and strong problem-solving skills
  • Excellent communications skills. The candidate should be able to explain complex problems to a variety of audiences. The candidate should be able to drive meetings and lead discussions
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