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Data science is an essential part of many industries today, that deals with vast volumes of data using modern tools and techniques to find unseen patterns. Remote data scientist jobs help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. Here is the list of the top 10 remote data science jobs in India to apply for right now.
This company handles millions of tasks for businesses looking to scale their ML development. These job responsibilities are doing end-to-end product analytics workflow, including formulating success metrics, socializing them across the organization, and creating reports. Identify, diagnose, and recommend projects to scale performance and operational efficiencies to the business to boost sustainable growth.
Turing's mission is to unleash the world's untapped human potential. The job responsibilities are identifying the business challenges and product improvement opportunities and finding solutions to business issues utilizing analytics and suggesting strategies. Develop models of user behaviors to analyze or power production systems.
This data scientist job requires you to coordinate with engineers and analysts to formulate guided, multifaceted analytic studies against a large volume of data and collaborate in research and indulge in analytic activities utilizing both unstructured and structured data points; work closely with cross-functional business units, and engineering teams to build a long-term data platform architecture strategy.
This role will suit an individual who is keen to use their experience to coach and support other team members and lead business-critical initiatives. Some key challenges will consist of supporting the teams' needs as the company expands its product solutions and geographical footprint, emerging as a trusted analytical partner for the business heads while ensuring the operational excellence of self-serve reporting.
If selected for this job, the day-to-day responsibilities will include identifying valuable data sources and automating collection processes, and combining models through ensemble modeling. It includes presenting information using data visualization techniques, improvement of product development, marketing techniques, business strategies, etc.
The Digital and Technology team of General Mills India Centre is looking for a passionate and enthusiastic individual to work in General Mills' DnA organization. Job role responsibilities include maintaining and enhancing the supply chain GCP project. Understand the end-to-end supply chain business processes, data, and DnA technology • Effective verbal and written communication and influencing skills are a must.
For this job, the person should have expertise in statistical analysis as well as pattern and anomaly detection and expertise in data cleaning, data wrangling, quantitative analysis, and data mining. Responsibilities include collaborating with stakeholders to understand business requirements and analyze dashboards, manually convert, map, and organize data for convenient data consumption.
A leading company active in the environmental sector and assisting battery manufacturers in making rapid progress ahead of the competition is looking for a Machine Learning Data Scientist. Job responsibilities are to collaborate and deliver against an ambitious product roadmap, improve the engineering processes to increase team effectiveness, and manage individual project requirements, priorities, and deliverables promptly.
This job promotes the DataOps approach to the delivery process to automate data provisioning, and testing, and collaborate with data architects to build a data pipeline and optimize it for data solutions including data science products. Make sure to implement DataOps and automation initiatives for solution deployment in production.
This role is an excellent opportunity for anyone interested in building internal products in a rapidly scaling environment and ensuring stakeholders are updated and informed about changes in our data platform Building and tracking metrics for the performance of our data platform team. You will be able to influence their roadmap, learn about best practices and be able to quickly see the impact of your work.
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