Lead Business Insights Developer

3 days ago

Noida, Uttar Pradesh, India beBeeDataScientist Full time US$ 1,50,000 - US$ 2,00,000
Job Description
LUMIQ is a Data and Analytics company that addresses data challenges for Financial Services and Insurance enterprises. As a Sr. Data Scientist, you will analyze complex datasets, develop machine learning models, and provide data-driven insights to support business decisions.

Key Responsibilities
Data Analysis & Exploration
  • Perform comprehensive exploratory data analysis (EDA) on large datasets.
  • Identify patterns, trends, and anomalies in data.
  • Conduct statistical analysis to validate business hypotheses.
  • Create data visualizations to communicate findings effectively.
  • Assess and ensure data quality and integrity.
  • Write complex SQL queries to extract and manipulate data
Machine Learning & Modeling
  • Design and develop machine learning models for business problems like Random Forest, XGBoost, and Neural Networks.
  • Implement supervised and unsupervised learning algorithms.
  • Perform feature engineering and selection.
  • Evaluate model performance using appropriate metrics.
  • Deploy and monitor machine learning models in production.
Programming & Development
  • Develop data analysis scripts and automation tools using Python.
  • Build data pipelines and ETL processes.
  • Create reusable code libraries and functions.
  • Maintain version control and documentation standards.

Required Skills and Qualifications
Technical Skills
  • SQL: Advanced proficiency in writing complex queries, joins, subqueries, and database optimization.
  • Python: Strong programming skills in Python for data analysis and machine learning.
  • Exploratory Data Analysis: Expertise in EDA techniques, statistical analysis, and data visualization.
  • Machine Learning: Solid understanding of ML algorithms, model evaluation, and validation techniques.
  • Statistics: Knowledge of statistical methods, hypothesis testing, and experimental design.
  • Knowledge of any cloud like AWS, GCP or Azure is good to have.
  • Familiarity with version control systems.
  • Experience with containerization and deployment tools.

Benefits
This role offers a challenging opportunity to drive business growth through data-driven insights and innovative solutions.

Other Information
Candidate must have worked on at least one end-to-end machine learning project.

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