Description

You will develop and deploy data science solutions to solve complex business problems through advanced analytics and machine learning.

Responsibilities

• Analyze, summarize, and characterize datasets of varying fidelity to identify actionable insights and patterns.
• Apply statistical modeling, machine learning, and deep learning techniques to solve business challenges.
• Write production-ready Python code using object-oriented programming principles.
• Develop and maintain complex SQL queries exceeding 1000 lines for data integration and analysis.
• Perform exploratory data analysis and visualization to communicate findings.

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 knowledge in regression, mixed models, data classification, and Bayesian inference.
• Hands-on experience in at least two areas: Data Modeling, Data Integration, Data Analysis, or SQL.
• Proven ability to optimize SQL queries on large datasets using BigQuery or Oracle.
• Strong understanding of machine learning, deep learning, and data mining concepts.
• Experience with data modeling and data warehousing principles.
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field.

Preferred Skills

• Experience with ML platforms such as GCP, Azure, or AWS.
• Exposure to 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