Posted 19 May, 2026
Data Science - PAN INDIA
Diverse Lynx
PAN INDIA
Full Time
Reference: 365_569689_26-00034
Hiring for Data Science - PAN INDIA
Job Description:
Coordinate data conversations with stakeholders, data sources 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 Data Engineer Data Scientist
Expertise in cloud technologies like Google Cloud Platform (GCP), including tools like BigQuery Data Engineer
Data Scientist 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.
Data Scientist Able to work with Data Engineer and recommend suggestion 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
Data Engineer Qualifications:
Bachelors or Masters 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
Job Description:
Coordinate data conversations with stakeholders, data sources 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 Data Engineer Data Scientist
Expertise in cloud technologies like Google Cloud Platform (GCP), including tools like BigQuery Data Engineer
Data Scientist 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.
Data Scientist Able to work with Data Engineer and recommend suggestion 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
Data Engineer Qualifications:
Bachelors or Masters 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
