Data Science - PAN INDIA

Data Engineer

Coordinate data conversations with stakeholders, explore and analyze complex datasets to identify patterns and anomalies (SQL, Python). Develop and deploy machine learning models. Work with business to understand logic. Lead data analytics process with the product team to gather insights and identify solutions. Collect, organize, analyze, and present insights. Organize project steps and document questions, findings, processes (Confluence, JIRA). Proficiency in Python, R, BQ, SQL as well as experience with data manipulation, analysis. Expertise in cloud technologies like Google Cloud Platform (GCP), including tools like BigQuery. Combination of technical expertise, hands-on experience with data science tools and methodologies, familiarity with cloud technologies, and the ability to drive impactful insights from data.

Able to work with Data Engineer and recommend suggestions to pipeline changes for staging strategy for technical critical (pipeline performance, data model, scheduler arrangement for data availability). End to end hands on experience with setting up Data Pipeline using Air Flow instance.

Bachelor’s or Master’s degree in Economics, Statistics, Data Science, Applied Mathematics, or a related field (PhD is a plus). 3 years of experience in data modeling, preferably in a pricing or retail environment. Strong experience with regression models, time series forecasting, and causal inference. Proficiency in Python, R, or similar programming languages for data analysis. Knowledge of SQL and experience working with large datasets. Excellent communication skills with the ability to present complex concepts clearly. 4 years of experience as a data analyst. Must be able to work effectively both on teams as well as be self-motivated, task oriented and organized. Strong customer focus and obsession with quality. Ability to work in a fast-paced and agile development environment. Ability to gather document details requirements user stories from stakeholders for a data request. Able to identify source systems and data steward. Able to write and run SQL queries from Data Lake, Big Query, and Vendor Master as required. Validate query results to ensure it meets criteria requirements. Stakeholder management. Experienced in JIRA, scrum ceremonies, and Agile Methodology. Familiarity with anomaly detection and a variety of ML models and algorithms. Excellent problem-solving skills and attention to detail. Curiosity and a passion for exploring and understanding complex datasets.