Arity - Lead Data Scientist - AdTech/RTB - Arity

Allstate Insurance; Illinois; On-site; USD 121,000 - 207,000; Full time

Job summary

Join a forward-thinking company as an Advertising Data Scientist, where you'll lead the development of machine learning algorithms to enhance advertising strategies. This role involves collaborating with cross-functional teams to analyze driving data and implement innovative solutions that drive business impact. With a commitment to diversity and inclusion, this organization fosters an environment where creativity thrives, making it an exciting opportunity for those passionate about data science and its applications in advertising. If you're ready to make a significant impact in a dynamic field, this position is for you.

Qualifications

• 5+ years of experience in data science and machine learning within advertising.
• Deep expertise in digital advertising systems and measurement sciences.

Responsibilities

• Lead the development of machine learning algorithms using driving data.
• Analyze large datasets and build advanced algorithms with modern libraries.

Skills

Machine Learning

Data Analysis

Python

Spark

Scikit-learn

TensorFlow

PyTorch

Communication Skills

Education

Master’s or PhD in Engineering

Master’s or PhD in Statistics

Master’s or PhD in Computer Science

Tools

Distributed Computing Frameworks

Ad Experimentation Platforms

Cloud Data Warehouses

Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. For more than 90 years, our innovative drive has kept us ahead of our customers' evolving needs, from advocating for seat belts and airbags to leading in pricing sophistication, telematics, and device and identity protection.

Job Description

Arity

Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze large volumes of data, using predictive analytics to develop solutions that make transportation smarter, safer, and more useful. Our team comprises dreamers, doers, and difference-makers committed to transforming transportation and fostering an inclusive environment where everyone can thrive and be themselves.

The Team

The advertising data science team enhances Arity's marketing platform, enabling targeted and relevant advertising based on driving data and user behavior. The team works within a cross-functional scrum structure to optimize platform efficiency, scale revenue, and deploy algorithms rapidly.

As an Advertising Data Scientist, your responsibilities include:

1. Leading the development of machine learning algorithms using GPS, driving events, and ad platform data.
2. Making technical decisions on implementing models, including traditional and deep learning techniques.
3. Influencing the entire cycle from data collection and processing to modeling and A/B testing.
4. Prototyping solutions and collaborating with engineers and product teams for deployment and KPI measurement.
5. Examples of projects include CTR prediction, win rate modeling, dynamic bidding, pacing, and frequency capping.

Responsibilities

Your daily tasks will involve:

1. Partnering on experimentation and research with significant business impact.
2. Analyzing large datasets using distributed computing frameworks.
3. Building advanced algorithms with modern libraries and techniques.
4. Exploring new data sources and establishing metrics for model validation.
5. Communicating results clearly to stakeholders.
6. Adhering to data science best practices, including peer review and documentation.
7. Collaborating with product and engineering teams for model deployment.

Qualifications

Ideal candidates will have:

• A Master’s or PhD in a related field such as engineering, statistics, or computer science.
• At least 5 years of experience in data science, analytics, and machine learning within advertising.
• Deep expertise in digital advertising systems and measurement sciences.
• Experience with ad auctions, bidding strategies, and experimentation platforms.
• Proficiency in Python, Spark, and libraries like Scikit-learn, TensorFlow, and PyTorch.
• Experience deploying end-to-end machine learning solutions in production.
• Strong communication skills for stakeholder engagement.

Optional skills include experience with control theory, cloud data warehouses, deployment platforms, and geospatial data.

Compensation

The annual salary range is $121,600 to $206,650, based on experience and qualifications.

Additional Information

Joining our team offers opportunities for growth, impact, and inclusion. We are committed to diversity and equal opportunity employment. For more details on legal and policy information, please see the provided links.