Description

You will develop and deploy data science solutions to solve complex business problems using statistical modeling and machine learning.

Responsibilities

• Analyze, summarize, and characterize datasets of varying fidelity to identify and explain patterns or insights.
• Build and implement analytical models using regression, classification, reduction, or Bayesian inference.
• Write production-ready Python code using object-oriented programming principles.
• Develop and maintain complex SQL scripts exceeding 1,000 lines to deliver data-driven solutions.
• Optimize SQL queries on large-scale databases to ensure efficient data processing.

Required Skills

• 3-5 years of experience in data science, data analytics, or artificial intelligence.
• Expertise in Python including Numpy, Pandas, SciPy, Plotly, and Matplotlib.
• Advanced statistical modeling, machine learning, deep learning, or data mining knowledge.
• Proficiency in SQL and experience with BigQuery or Oracle.
• Hands-on experience in at least two areas: Data Modeling, Data Integration, Data Analysis, or SQL.
• Practical experience in at least two areas: Geo Spatial, Finance, Econometrics, Cloud Computing, Big Data, or Database Management.
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, MIS, Engineering, Econometrics, Finance, or Business.
• Exposure to ML platforms including GCP, Azure, or AWS.

Preferred Skills

• Experience with Generative AI and LLMs.
• Knowledge of agile software development methodologies.
• Background in the transportation and logistics industry.

Key Skills

Education

Bachelor's or Master's degrees