AM/DM - Data Analyst / Data Scientist / Digital Project Lead

Role Overview: As a Data Scientist, your main responsibility will be to analyze and interpret data in order to identify trends and insights. You will develop and implement data-driven solutions to address various business challenges. Additionally, you will be collecting, cleaning, and transforming data from different sources, including big data and unstructured data. Your role will also involve building and training machine learning models for prediction, classification, and other tasks. It will be crucial for you to communicate your findings and recommendations clearly and concisely to stakeholders. Moreover, you should stay updated with the latest trends and technologies in the field of data science. You should also be capable of performing exploratory data analysis (EDA) of raw data and engaging in feature engineering when applicable. Familiarity with project tracking tools like JIRA or equivalent will be advantageous. Key Responsibilities: - Analyze and interpret data to identify trends and insights. - Develop and implement data-driven solutions to address business challenges. - Collect, clean, and transform data from various sources. - Work with big data and unstructured data. - Build and train machine learning models for prediction, classification, and other tasks. - Communicate findings and recommendations to stakeholders clearly and concisely. - Stay up-to-date with the latest trends and technologies in data science. - Perform EDA of raw data and engage in feature engineering when applicable. - Acquainted with know-how of JIRA or equivalent project tracking tool. Qualification Required: - Bachelor of Technology (B.Tech) or equivalent. - Certifications/courses in Data Science/Data Engineering preferred. Additional Details: Experience working in manufacturing/process-based industries will be advantageous. Strong analytical and problem-solving skills are essential for this role. You should have the ability to work independently as well as part of a team. Excellent presentation and communication skills, both written and verbal, are required. Proficiency in Python or R programming languages is necessary, along with basic knowledge of cloud platforms such as AWS and Azure. Proficiency in Advanced Excel (Power Query, Pivots, Charts) and PowerBI is also expected. Basic working experience with Spark for big-data analytics will be beneficial. Experience of working using Agile methodologies is a plus. Role Overview: As a Data Scientist, your main responsibility will be to analyze and interpret data in order to identify trends and insights. You will develop and implement data-driven solutions to address various business challenges. Additionally, you will be collecting, cleaning, and transforming data from different sources, including big data and unstructured data. Your role will also involve building and training machine learning models for prediction, classification, and other tasks. It will be crucial for you to communicate your findings and recommendations clearly and concisely to stakeholders. Moreover, you should stay updated with the latest trends and technologies in the field of data science. You should also be capable of performing exploratory data analysis (EDA) of raw data and engaging in feature engineering when applicable. Familiarity with project tracking tools like JIRA or equivalent will be advantageous. Key Responsibilities: - Analyze and interpret data to identify trends and insights. - Develop and implement data-driven solutions to address business challenges. - Collect, clean, and transform data from various sources. - Work with big data and unstructured data. - Build and train machine learning models for prediction, classification, and other tasks. - Communicate findings and recommendations to stakeholders clearly and concisely. - Stay up-to-date with the latest trends and technologies in data science. - Perform EDA of raw data and engage in feature engineering when applicable. - Acquainted with know-how of JIRA or equivalent project tracking tool. Qualification Required: - Bachelor of Technology (B.Tech) or equivalent. - Certifications/courses in Data Science/Data Engineering preferred. Additional Details: Experience working in manufacturing/process-based industries will be advantageous. Strong analytical and problem-solving skills are essential for this role. You should have the ability to work independently as well as part of a team. Excellent presentation and communication skills, both written and verbal, are required. Proficiency in Python or R programming languages is necessary, along with basic knowledge of cloud platforms such as AWS and Azure. Proficiency in Advanced Excel (Power Query, Pivots, Charts) and PowerBI is also expected. Basic working experience with Spark for big-data analytics will be beneficial. Experience of working using Agile methodologies is a plus.