Data Scientist

Company Overview

(Not specified)

Job Summary

We require a Data Scientist on loan staff engagement with strong expertise in data engineering, time series forecasting, machine learning frameworks, and large-scale data processing. The resource will work with internal teams to design, develop, and deploy data science solutions to support business-critical use cases.

Responsibilities

• Design, develop, and deploy data science solutions that enhance business decision-making.
• Collaborate with internal teams to understand data needs and identify opportunities for leveraging data science.
• Conduct time series forecasting and perform analysis for trend and seasonality detection.
• Develop data pipelines and manage data versions using Databricks and Delta Lake.
• Maintain high standards of data quality and validation through profiling and anomaly detection.
• Implement configuration-driven development practices to ensure modular and reusable code.

Qualifications

• Educational Qualifications: Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field.
• Technical Skills:
  • Programming & Development:
    • Advanced Python, including libraries like pandas and PySpark for data manipulation.
    • Advanced SQL for complex queries, window functions, and aggregations.
    • Proficient in Git/GitHub for version control and CI/CD practices.
    • Experience with Spark/PySpark for distributed data processing.
  • Data Engineering & Platforms:
    • Hands-on experience with Databricks for workspace management and cluster configuration.
    • Knowledge of Delta Lake, focusing on data versioning and ACID transactions.
    • Experience in developing ETL/ELT processes and workflow orchestration.
  • Machine Learning / Data Science:
    • Familiarity with MLflow for model tracking, versioning, and deployment.
    • Skills in feature engineering and time series analysis techniques.
    • Understanding of data quality frameworks and validation processes.
    • Proficiency in object-oriented programming (OOP) and testing frameworks.

Preferred Skills

• Experience with Docker for containerization and reproducible deployments.
• Knowledge of monitoring and logging practices for data pipelines and ML models.

Experience

• A minimum of 4-7 years of relevant experience in data science, data engineering, or related fields.

Environment

• This position is remote for the duration of 6 months.

Salary

• The budget for this role is 1.4 Lakhs + GST.

Growth Opportunities

(Not specified)

Benefits

(Not specified)