Senior/Staff Data Scientist

IHS Markit
New York, USA
Oct 01, 2022
Oct 15, 2022
Job Function
Industry Sector
Finance - General
Employment Type
Full Time
Who we are

Our Company was founded on the idea that there are patterns in people's behavior that, with the right logic, can be used to predict future outcomes. We are a small but rapidly growing organization that works in partnership with our customers to create solutions that are simply not found anywhere else. We work in groups rather than in structured corporate hierarchies; our culture is creative and entrepreneurial where everyone contributes to company goals in very real way. We are a hardworking group, but we have a lot of fun with what we do and are looking for new people with a similar mindset to join the organization.

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
  • We are looking for talented individuals to join our team in building the core components of our software that at heart of it uses machine learning and data intelligence
  • You will apply machine techniques and statistical methods to build core components to the software along with data engineers and software engineers.
  • You will 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 key stakeholders
  • You will work closely with product owners, designers, data engineers, marketing teams and others across the company
  • You will work on challenging projects using cutting-edge technologies
  • This position will bring analytical rigor and statistical methods to the challenges of measuring quality, improving consumer products, and understanding the behavior of end-users
  • You will be the subject matter expert and propose new ideas
Who you are
  • You possess 7+ years of related work experience in data analysis and machine learning (such as logistic regression, random forest, gradient boosting, deep learning) 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 or PhD in a quantitative discipline (e.g., data science, economics, statistics, finance, operations research, computer science, mathematics, physics, electrical/mechanical/industrial engineering, etc....) or a Bachelor of Science in a quantitative discipline and 10+ years of related work experience
  • You are able to demonstrate mastery of the following:
  • Designing and building machine learning models using Python and/or R, SQL
  • The model building process - working with stakeholders to understand requirements, translating requirements into a clear understanding of what the model needs to do, capturing the right data and EDA, model selection including a broad, up-to-date understanding of the possibilities, testing, implementation, and communicating results to stakeholders.
  • Designing, implementing, troubleshooting pipelines in Cloud-based environments (GCP, AWS) and Airflow
  • Leveraging data visualization tools to share findings and and collect feedback on your analysis, monitor and communicate predictive model performance
  • Demonstrated effective written and verbal communication skills
  • Demonstrated leadership and self-direction
  • Demonstrated willingness to both teach others and learn new techniques
  • You have a strong ability to analyze complex technical issues
  • You communicate effectively both orally and in writing and can translate technical topics into a commonly understood vernacular
  • You are able to work independently but have great collaboration skills
  • You enjoy being part of a focused team that can get the job done on time
  • You are a motivated learner who is excited to share your knowledge with the team
  • You regularly assess your own performance and adapt your work to achieve better results

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, in order to comply with applicable federal, state, and local vaccine mandates (including those in place for US federal contractors), US employees may be required to provide proof of being fully vaccinated, unless they have been approved for an accommodation due to a medical reason, a sincerely held religious belief or another legally protected reason. T he company also participates in the E-Verify Program to confirm eligibility to work in the US.

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.
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