AI Data Scientist
- $120,000 - $170,000
- Chicago, IL
A bit about us:
An infrastructure design firm founded over 100 years ago.
Why join us?
- Competitive compensation
- ESOP
- Growth opportunities
- Collaborative culture
- Full benefits
Job Details
In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of Artificial Intelligence. Our clients deal with massive amounts of structured and unstructured data which opens up new opportunities for you to apply your communication skills, interpersonal skills, and analytical skills to respond to complex questions and needs by guiding internal teams and client teams in how to use AI to solve problems. You will evaluate, understand, implement, and fine-tune AI models to meet our clients' needs. You will collaborate with data scientists to use AI to innovatively solve problems and your communication skills will enable you to explain AI solutions to wide-ranging audiences. You will explore data from various sources, discover patterns and previously hidden insights to address business problems, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions.
What You'll Do:
Provides insight into leading analytics practices.
Designs and leads iterative learning and development cycles.
Produces new and creative analytic solutions that will become core work you’re doing.
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, draw 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.
Develops company A/B testing framework and test model quality.
Coordinates with different functional teams to implement models and monitor outcomes.
Performs other duties as assigned.
What You'll Need:
Bachelor’s degree in data science, statistics, computer science, computer engineering, or information systems and 6 years of relevant experience, or
Master’s degree in data science, statistics, computer science, computer engineering, or information systems and 5 years of relevant experience, or
In lieu of education, 10 years of relevant experience.
What You'll Bring:
Exceptional communication and interpersonal skills
Experience with programming languages such as Python, R or SQL.
Experience with big data technologies such as Hadoop or Spark
Experience with distributed computing tools such as Map/Reduce or Spark.
Experience visualizing/presenting data for stakeholders using: Power BI, Tableau or similar tools
Experience in successfullyn implementing generative AI (GenAI) and large language model (LLM) solutions
An openness to new ideas and perspectives
Passion for solving hard problems with data
Genuine curiosity and an interest in learning and applying new skills and technologies
What We Prefer:
Master’s degree in data science, statistics, computer science, computer engineering, or information systems
Transportation industry experience
Consulting experience
What You'll Do:
Provides insight into leading analytics practices.
Designs and leads iterative learning and development cycles.
Produces new and creative analytic solutions that will become core work you’re doing.
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, draw 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.
Develops company A/B testing framework and test model quality.
Coordinates with different functional teams to implement models and monitor outcomes.
Performs other duties as assigned.
What You'll Need:
Bachelor’s degree in data science, statistics, computer science, computer engineering, or information systems and 6 years of relevant experience, or
Master’s degree in data science, statistics, computer science, computer engineering, or information systems and 5 years of relevant experience, or
In lieu of education, 10 years of relevant experience.
What You'll Bring:
Exceptional communication and interpersonal skills
Experience with programming languages such as Python, R or SQL.
Experience with big data technologies such as Hadoop or Spark
Experience with distributed computing tools such as Map/Reduce or Spark.
Experience visualizing/presenting data for stakeholders using: Power BI, Tableau or similar tools
Experience in successfullyn implementing generative AI (GenAI) and large language model (LLM) solutions
An openness to new ideas and perspectives
Passion for solving hard problems with data
Genuine curiosity and an interest in learning and applying new skills and technologies
What We Prefer:
Master’s degree in data science, statistics, computer science, computer engineering, or information systems
Transportation industry experience
Consulting experience