Data Scientist

Job Description:

• Coordinate data conversations with stakeholders and 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, and processes (Confluence, JIRA).
  

• Proficiency in Python, R, BQ, SQL as well as experience with data manipulation and 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 (pipeline performance, data model, scheduler arrangement for data availability).
  

• End-to-end hands-on experience with setting up Data Pipeline using Airflow instance.
  

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 and document detailed requirements and 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, BigQuery, and Vendor Master as required.
  

• Validate query results to ensure they meet criteria and requirements.
  

• Stakeholder management experience.
  

• 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.
  

Exp Required: 10