Data Scientist

Overview

We are looking for a skilled data professional to design and deliver data-driven solutions that support business decision-making. In this role, you will work with data integration, modeling, and visualization tools to analyze complex problems and provide actionable insights.

Key Responsibilities

• Understand warehouse concepts and business intelligence reporting.
• Design databases and data models, and manage data integration and extraction.
• Create visualizations using tools such as Power BI or Tableau.
• Write Python code for data wrangling, statistical analysis, and model development.
• Apply statistical modeling techniques like logistic regression and SVM to solve business problems.
• Translate problem statements into analytical solutions and lead their implementation independently.
• Collaborate with stakeholders across the organization to identify data-driven opportunities.
• Quickly learn new languages, tools, or platforms as needed.
• Conceptualize, design, and deliver high-quality solutions and insightful analyses.

Requirements

• Expert-level proficiency in Python and SQL.
• Hands-on experience with relational databases such as SQL Server or Oracle.
• Experience managing the end-to-end data science pipeline, including problem scoping, data collection, exploratory data analysis, modeling, insight generation, visualization, and model monitoring/maintenance.
• Strong problem-solving skills with the ability to break complex problems into manageable parts.
• Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms, including regression, tree-based methods, SVM, random forests, XGBoost, time-series modeling, dimensionality reduction, clustering, and deep learning.
• Proficiency with visualization tools, preferably Power BI or Tableau.

Nice to Have

• Experience with emerging technologies such as deep learning, natural language processing, or recommender systems.