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| Job Location | Delhi |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Logistics / Courier / Transportation |
| Functional Area | General / Other Software,Web / Mobile Technologies |
| EmploymentType | Full-time |
This position offers the unique opportunity to develop and apply your knowledge of Product Analyst -Data Science and application development related methods and tools to create results, tools and workflow that will accelerate the transformation of our business model, and to work with business specialists across Maersk Group. Maersk Global Data and Analytics (GDA) is committed developing world class data products and analytics for our customers. This is an extremely exciting time to join a fast paced, growing and dynamic team that solves some of the toughest problems in the industry and builds the future of trade & logistics. At A.P. Moller - Maersk we focus on the individual s development and the right candidate will have broad possibilities to further develop competencies in an environment characterized by change and continuous progress.Show More Key responsibilitiesWork with product management to develop data use cases and embed predictive models in workflows on resource constrained platforms and cloud enabled. Build tools/platforms to make it easier for others to leverage ML capability and spread culture of ML Collaborate with Data Engineers and other analyst to drive, enhance and uncover new product opportunities Your responsibilities will be to: Mine and analyse data from company databases to drive optimization and improvement of support process, product development, cost avoidance and sales opportunities and other improvements Use predictive modelling to increase and optimize customer experiences, revenue generation and other business outcomes Develop processes and tools to monitor and analyse model performance and data accuracy Coordinate with different functional teams to implement models and monitor outcomes Where needed develop company A/B testing framework and test model quality Develop custom data models and algorithms to apply to data setsShow More We are looking forAn analyst with at least good bachelor s degree from a quantitative / computer science/ statistical / engineering field with 2 or more working experience in data analytics or science role Experience in logistic or operations studies favoured though not mandatory Key Skills: Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures though experience with Azure platform favoured Experience in statistical modelling, machine learning, data mining, unstructured data analytics and natural language processing. Practical understanding of - Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Nonparametric Methods, Multivariate Statistics, etc. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Experience with data visualization tools, such as Matplotlib, seaborn or equivalent tools. Proficiency in using query languages, such as SQL, PL/SQL Hands on experience in the one or more databases like Hadoop, Azure Databricks (preferred), AWS Redshift, or similar ETL tools.,
Keyskills :
product managementcustomer relationsfunctionalmarketingdocumentationuse casesdata miningdata modelsdata analyticsmachine learningab testing