Data Science portrays a crucial role when it comes to deriving meaningful insights from large chunks of data for decision-making in organisations. Reports suggest that as of March 2020, the analytics function in India has earned a consolidated revenue of $35.9 Bn, which is a 19.5% growth in revenue over last year.
In this article, we list down the current job openings for Data Scientists and Analysts one must apply right now.
(The list is in no particular order).
1| Data Scientist at MiQ Digital
About: As a Data Scientist, the responsibilities include translating product requirements into analytical requirements/specifications, designing and developing required functionality in the internal tool, leveraging technology to automate daily operational activities, own and execute end to end data science projects. It would also require a candidate to collaborate with engineering teams to activate media campaigns based on analytical outputs and ensure actionable insights are delivered by utilising all the rich data in conjunction with client-specific data.
2| Developers- Data Analysis & Integration at L&T Infotech
Location: Anywhere in India
3| Data Science with Python at L&T Infotech
Location: Anywhere in India
About: As a Data Scientist, a candidate will be expected to deliver end-to-end analytical solutions covering multiple technologies and tools to multiple business problems. The candidate must have the ability to coordinate multiple teams with analytical or non–analytical objectives, and showcase analytical thought leadership when required. He/she should have excellent presentation skills at client CXO’s levels to connect analytical strategies in tune with their mission and vision objectives. It also requires the candidate to have experience in statistical modelling, machine learning, data mining, unstructured data analytics in corporate or academic research environments.
4| Data Scientist at Endless Gain
About: It will require the candidate to extract, analyse and interpret large amounts of data from a range of sources, using algorithmic, data mining, artificial intelligence, machine learning and statistical tools. The candidate will need to build algorithms and design experiments to merge, manage, interrogate, and extract data to supply tailored reports, test data mining models to select the most appropriate ones for use on a project, conducting ad-hoc analysis and presenting results in a clear manner. The job description also includes enhancing the data collection procedures to include information that is relevant for building analytic systems, and other more.
5| Data Analyst at United Airlines
About: As a Data Analyst, the candidate will be responsible for executing solutions to business problems using data analysis, data mining, optimisation tools, statistical modelling and machine learning techniques. It would require the candidate to develop and validate evaluation metrics and models to analyse business performance and areas of opportunity, identify the practical approach to test and learn key hypotheses to extend analytic insight, leverage new data and/or experimental results to extend analytical frameworks/algorithms, design experiments and analyse results to determine the effectiveness of programs, policies and strategies, among others.
6| Data Analyst at Michelin
About: As a Data Analyst, the candidate will be responsible for working directly with a dynamic team of e-retail business analysts based in Lyon, France, as they assist internal business partners in developing e-Retail strategies to achieve Michelin business goals. The candidate will need to compile a comprehensive narrative of how online distributors execute Michelin tyres. They will need to provide operational insights and recommendations, forecast and prepare reports measuring the effectiveness of programs/action plans, design and build reports using multiple tools such as dedicated Web analytics tools, Excel, PowerPoint, Power BI. They would also need to organise the supports to be communicated and displayed in the organisation through the appropriate processes to the stakeholders.