Founded in 2012, automotiveMastermind is a leading provider of predictive analytics and marketing automation solutions for the automotive industry, putting dealers back in the driver's seat with Market EyeQ. Market EyeQ is a turnkey sales and marketing platform that empowers dealers to predict future car buyers, market to them at the right time and close more deals with less effort. Mastermind is headquartered in New York City. For more information, visit automotivemastermind.com.
At automotiveMastermind, we thrive on high energy at high speed. We're an organization in hyper-growth mode and have a fast-paced culture to match. Our highly engaged teams feel passionately about both our product and our people. This passion is what continues to motivate and challenge our teams to be best-in-class. Our cultural values of "Drive" and "Help" have been at the core of what we do, and how we have built our culture through the years. This cultural framework inspires a passion for success while collaborating to win.
What we do:
automotiveMastermind puts dealers in the driver's seat with Market EyeQ. Market EyeQ is an automated sales and marketing platform that empowers dealers to close more deals by predicting future buyers and consistently marketing to them. Generate success in your loyalty, service, and conquest portfolios through a combination of turnkey predictive analytics, proactive marketing, and dedicated consultative services.
What you will do:
Data Science is critical to aM's core value proposition - the ability to predict consumer returns to market and understand key drivers behind timing and vehicle selection. The automotiveMastermind (aM) Data Science team is responsible for maintaining and enhancing existing models, creating new predictive capabilities, and partnering with the broader aM Data Strategy team to create data-driven solutions for a wide range of additional business problems.
Example outcomes of these efforts may include...

• Leveraging a variety of modeling techniques to create new or augmenting existing models
• Exploring new data assets, tools and techniques to strengthen results or create new predictive capabilities
• Performing ad hoc analysis or A/B testing to evaluate alternative methods or sources
• Creating new or derived variables to better capture relationships and improve model effectiveness
• Partnering with operations or commercial teams to apply data science capabilities to challenging business problems
• Identifying and analyzing additional data sources to bolster predictions and recommendations and collaborating with engineering to integrate new data sources and methods
• Creating scalable, decoupled, and extensible data science solutions via close collaboration with product, engineering and architecture
• Communicating data-driven insights and recommendations to non-technical stakeholders

Who you are:

• You possess 2+ years of related work experience in data analysis and model building (such as logistic regression, random forest, gradient boosting, clustering) on large datasets, ideally in automotive-centric roles
• You are a skilled analyst, adept at not just answering the "what", but, more importantly, the "why"
• You are comfortable working with large and complex data sets and are capable of sifting signal from noise
• You possess a Master of Science in a quantitative discipline (e.g., economics, statistics, finance, operations research, computer science, mathematics, physics, electrical/mechanical/industrial engineering, etc....) or a Bachelor of Science in a quantitative discipline and 2+ years of related work experience

You demonstrate mastery of the following:

• Exploratory data analysis using Python and / or R, SQL
• The full modeling process - design, wrangle, train, test, communicate
• Creating input data validation protocols to protect output quality
• Leveraging data visualization tools to share findings and collect feedback on your analysis, monitor and communicate predictive model performance

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.
Inclusion and diversity are critical to the success of IHS Markit, and we actively encourage applications from people of all backgrounds. We are committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, status as a protected veteran, or any other protected category. For more information on the many ways in which we enthusiastically support inclusion and diversity efforts for both candidates and employees, please access our Inclusion & Diversity Statement here.
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
Current Colleagues
If you are currently employed by IHS Markit, please apply internally via the Workday internal careers site.