Data Scientist
$61K-$100K (Glassdoor est.)
Who we are:


automotiveMastermind currently provides U.S. automotive dealers with AI/behavior prediction analytics software and marketing solutions that improve the vehicle purchase process and results. The company’s cloud-based technology helps dealers precisely predict automobile-buying behavior and automates the creation of microtargeted customer communications, leading to proven higher sales and more consistent customer retention. In 2017 we were acquired by IHS Markit.

IHS Markit serves more than 50,000 key customers in more than 140 countries, including 80 percent of the Fortune Global 500. They help decision makers apply higher-level thinking to daily tasks and strategic issues across a host of industries and disciplines including energy, finance, automotive, engineering, technology, maritime and trade, aerospace and defense, chemical, and economics and country risk.

What we do:


Our proprietary software-as-a-service helps automotive dealerships and sales teams better understand and predict exactly which customers are ready to buy, the reasons why, and the key offers and incentives most likely to close the sale. Its micro-marketing engine then delivers the right message at the right time to those customers, ensuring higher conversion rates and a stronger ROI.


What you will do:

Design, execute, and evaluate experiments
Automate workflows and apply scientific methods to solve business and engineering problems
Perform analyses on large sets of data to extract actionable insights that will help drive decisions across the business
Communicate data-driven insights and recommendations to non-technical stakeholders
Work closely with product owners, designers, data engineers, marketing teams and others across the company
Work on challenging projects using cutting-edge technologies
Bring analytical rigor and statistical methods to the challenges of measuring quality, improving products, and understanding the behavior of end-users
Be the subject matter expert and propose new ideas
Who you are:

We are looking for talented individuals to join our team in building the analytical components of our software that at heart of it uses data analytics and machine learning
MS or PhD in a quantitative discipline (e.g., statistics, operations research, computer science, mathematics, physics, electrical engineering, industrial engineering)
Minimum 1 year of work experience
2+ years of industry experience
Experience presenting insights to executives and non-technical audiences around product analytics results into business recommendations
Applied experience with data analysis and machine learning (such as logistic regression, random forest, gradient boosting, clustering) on large datasets
You have the technical competence to perform advanced analytics:
Python/R
SQL
Apache Airflow
Experience designing and implementing machine learning pipelines in production environments
Demonstrated willingness to both teach others and learn new techniques
You are able to work independently but have great collaboration skills
You believe in what you do and feel a vested interest in company’s success
Bonus if you have the following experience:
Developed and implemented experimentation pipeline
Developed and implemented recommender engine in production
Delivered and implemented production quality code
Understanding of microservice design
Expected Hours of Work:


This is a full-time position. Generally, work is performed Monday through Friday, though holidays and weekends may be required.

We believe in equal employment opportunities:


The company provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, the company complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

The company expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of the company’s employees to perform their job duties may result in disciplinary actions up to and including discharge.

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IHS Markit is committed to providing equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by the laws and regulations in any of our locations.

We are proud to provide reasonable accommodations to applicants with disabilities. If you are interested in applying for employment with IHS Markit and need special assistance or an accommodation to use our website or to apply for a position, please contact or call +1 212 849 0399. Determination on requests for reasonable accommodation are considered on a case-by-case basis. This contact information (email and phone) is intended for application assistance and accommodation requests only. We are unable to accept resumes or provide information about application status through the phone number or email address above. Resumes are only accepted through the online application process, and only qualified candidates will receive consideration and follow-up.

IHS Markit maintains a substance-free workplace; employees may be asked to submit to a drug test (where permitted by law). In addition, as a federal contractor in the United States, the company participates in the E-Verify Program to confirm eligibility to work.

For information please click on the following links:

IHS Markit Business Code of Conduct
Right to Work
EEO is the Law
EEO is the Law Supplement
Pay Transparency Statement

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Current Colleagues

If you are currently employed by IHS Markit, please apply internally via the Workday internal careers site.
IHS Markit
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IHS Markit
