Unlock Your Future: Freshers Hiring for Data Science Analyst at American Express in Gurugram and Bangalore !!!
Freshers Hiring for Data Science Analyst :
Company : American Express
Position: Analyst – Data Science
Qualification : MBA, Master’s Degree In Economics, Statistics, Computer Science Or related fields
Experience : Freshers / Experienced
Location: Gurugram , Bangalore
Salary : As per company standards
Last Date : Apply as soon as possible
Responsibilities:
This position at American Express will play a important role in understanding the core business of AXP and the fundamental factors that drive critical business decisions. A candidate will be expected to analyze large datasets to extract meaningful business insights, using this information to formulate innovative solutions that align with the company’s strategic goals. By leveraging the power of the closed-loop system provided by the Amex network, A candidate will be able to enhance decision-making, ensuring that insights are more intelligent, relevant, and actionable for business stakeholders.
A candidate will be majorly responsible to focus on innovation, particularly in developing newer and more effective approaches to utilizing big data and machine learning solutions. A candidate will work with complex data sets, applying advanced analytical techniques to uncover patterns, trends, and correlations that can drive business improvements and optimize performance. This will involve experimenting with new technologies and methodologies to push the boundaries of data science and ensure that American Express remains at the forefront of the industry.
A candidate will be required to communicate their findings clearly and effectively, articulating complex business insights in a structured and compelling manner to leadership and key partners. A candidate will need to present their analyses not only in terms of data but also through the lens of customer and prospect domains, ensuring that the findings are actionable and relevant to various business units. A candidate must have a strong communication skills for ensuring that their insights are understood by both technical and non-technical stakeholders.
Maintaining an external viewpoints on development within the fields of Finance, Payments, and Analytics will be another crucial aspect of the role. A candidate must stay informed about emerging trends, tools, and best practices in these industries, applying this knowledge to drive continuous improvements within the organization. This will includes tracking the latest advancements and integrating relevant innovations into their analyses, ensuring that American Express stays competitive and adaptable in a rapidly evolving market.
Overall, A candidate will be offered an exciting opportunity to apply their skills in data science and analytics within a dynamic and innovative environment, while contributing to the success and growth of American Express.
Qualifications :
A candidate at American Express is required to have a strong academic core , with an MBA or a Master’s degree in Economics, Statistics, Computer Science, or related fields. The role is designed for a candidate with 0-30 months of experience in analytics and big data work streams, providing a perfect opportunity for fresher candidate or early-career candidate to apply their academic knowledge in a dynamic and practical setting.
To succeed for this position , A candidate must possess the ability to drive project deliverables that align with business objectives, ensuring that analytical outputs contribute to tangible business results. A candidate should be comfortable working effectively within a team environment, collaborating with various stakeholders across different functions to ensure that projects are executed successfully. Strong communication and interpersonal skills are crucial, as a candidate will be required to present complex data insights to both technical and non-technical audiences.
A candidate must be an innovative problem solver, with a demonstrated ability to quickly learn new concepts and methodologies. Given the complexity and unstructured nature of some initiatives, A candidate will need to work independently, showing initiative and creativity in tackling challenges. A candidate will be expected to apply their knowledge to develop advanced data models, and leverage cutting-edge techniques to find insights and solutions to business problems.
A candidate also requires the ability to integrate seamlessly with cross-functional business partners worldwide. This will include collaborating with teams in various geographies and ensuring that data science initiatives are aligned with the company’s global strategy and goals.
A candidate must be proficient in data analytics tools and programming languages is essential for the position. A candidate should have a strong command of SAS, R, Python, Hive, Spark, and SQL, as well as experience with both unsupervised and supervised machine learning techniques. This includes methods such as active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, and MapReduce techniques. Additionally, A candidate with experience in attribute engineering will be valuable for improving model accuracy and efficiency.
A candidate with expertise in coding, algorithms, and high-performance computing is also important for the position , as these skills will be crucial for handling large datasets and optimizing complex models. This role offers a unique opportunity for individuals to grow their data science expertise and contribute meaningfully to the success of American Express.