AI Data Strategist

Qualifications

• The ideal candidate will have exceptional communication skills, experience with big data technologies, and a passion for solving complex business problems

• The successful candidate must have a Bachelor's degree in data science, statistics, computer science, computer engineering, or information systems and 6 years of relevant experience, or a Master's degree in data science, statistics, computer science, computer engineering, or information systems and 5 years of relevant experience, or 10 years of relevant experience

Responsibilities

• The role requires evaluating, understanding, implementing, and fine-tuning AI models to meet client needs

• You will collaborate with data scientists to use AI to solve problems and communicate AI solutions to diverse audiences

• The successful candidate will explore data from various sources, discover patterns, and turn disparate data points into actionable insights to inform senior leadership decisions

• Provides insight into leading analytics practices

• Designs and leads iterative learning and development cycles

• Develops proficiency with data mining, cleaning, aggregation techniques

• Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions

• Mines and analyzes large datasets, draws insights from data using statistical techniques

• Develops custom data models and algorithms to apply to data sets

• Uses predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes

• Coordinates with different functional teams to implement models and monitor outcomes

Full Description

Job Overview

An infrastructure design firm founded over 100 years ago seeks a highly skilled AI Data Scientist to lead analytics practices and innovate data-driven solutions.

The ideal candidate will have exceptional communication skills, experience with big data technologies, and a passion for solving complex business problems.

The role requires evaluating, understanding, implementing, and fine-tuning AI models to meet client needs.

You will collaborate with data scientists to use AI to solve problems and communicate AI solutions to diverse audiences.

The successful candidate will explore data from various sources, discover patterns, and turn disparate data points into actionable insights to inform senior leadership decisions.

Key Responsibilities

• Provides insight into leading analytics practices

• Designs and leads iterative learning and development cycles

• Develops proficiency with data mining, cleaning, aggregation techniques

• Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions

• Mines and analyzes large datasets, draws insights from data using statistical techniques

• Develops custom data models and algorithms to apply to data sets

• Uses predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes

• Coordinates with different functional teams to implement models and monitor outcomes

Requirements

The successful candidate must have a Bachelor's degree in data science, statistics, computer science, computer engineering, or information systems and 6 years of relevant experience, or a Master's degree in data science, statistics, computer science, computer engineering, or information systems and 5 years of relevant experience, or 10 years of relevant experience.

Preferred qualifications include a Master's degree in data science, statistics, computer science, computer engineering, or information systems, transportation industry experience, and consulting experience.