You are a skilled Data Science Consultant with a minimum of 5 years of experience in data analysis, demand forecasting, and supply chain analytics. In this role based in Bangalore, you will be a key member of the team supporting the delivery of the Forecast & Replenishment product. Your responsibilities will include conducting Exploratory Data Analysis (EDA) to analyze sales, demand patterns, seasonality, and supply chain data for optimal model configurations. You will also fine-tune and optimize forecasting and replenishment models based on business and data insights, evaluate model performance, and communicate results effectively to business stakeholders. Collaboration with supply chain planners, product teams, and IT teams is crucial to ensure that model configurations align with business objectives. Additionally, you will troubleshoot potential data issues, create documentation, and provide training on model usage and interpretation. To excel in this role, you should possess a Bachelor's or Master's degree in Computer Science, Statistics, or a related field. Data Science certifications from reputable institutions are considered a plus. Strong technical skills in SQL, Python/R for data analysis, and data visualization tools such as Tableau and Power BI are required. An ability to analyze large datasets, interpret patterns, and select suitable forecasting models is essential. Your business acumen should enable you to translate data insights into actionable strategies for supply chain management. Effective communication skills are necessary to convey complex analytical findings clearly to non-technical stakeholders. A deep understanding of demand forecasting, replenishment planning, and inventory optimization is also expected. If you are a proactive and analytical individual with a passion for data science and supply chain analytics, we encourage you to apply and be a part of our dynamic team in Bangalore.,
As a Data Engineer, you will be responsible for designing and implementing data pipelines using various AWS services including S3, Glue, PySpark, and EMR. Your role will involve optimizing data storage and retrieval through AWS database services such as RDS, Redshift, and DynamoDB. Building different data warehousing layers to cater to specific use cases will be a key aspect of your responsibilities. Your expertise in SQL and strong understanding of ETL processes and data modeling will be essential in ensuring the accuracy and availability of data to customers. You will also need to comprehend how technical decisions can impact business analytics and reporting for our clients. Experience with AWS cloud and services like S3 Buckets, Glue Studio, Redshift, Athena, Lambda, and SQS queues will be beneficial in this role. The ideal candidate should possess a Bachelor's or Master's degree in Computer Science or Information Technology. Prior experience with batch job scheduling and identifying data or job dependencies will be advantageous. Proficiency in data warehousing, ETL processes, and big data processing will be considered a valuable skill set. Additionally, familiarity with the Pharma domain would be a plus for this position. Join our team to contribute to the development of robust data solutions and drive impactful insights for our clients in a dynamic and collaborative environment.,