Job Location: Gurgaon
Position: Associate Data Scientist – Automotive Supply Chain & Technology
Description of Duties
The Automotive Supply Chain and Technology team at IHS Markit is in search of a Data Scientist to create cutting edge products in synergy with global research team. The research team produces granular forecast dataset and written analyses on the supply chain of parts supplied to automakers with technology, supplier, and logistic information. The team generate forecasts on technology trends through multiple research channels and by using many connected and disconnected data sources to drive the forecast.
The position covers an array of data-centric activities aimed at envisioning the products for the future for IHS Markit’s fastest growing product line and enhancing the efficiency of our 70+ strong research team. The position is based in Gurgaon or Bangalore, India and will report to head of Data Science team in India.
Responsibilities and duties
- Model building using Python
- Data restructuring and transformation for large inter-connected data sets
- Harness machine learning and statistical modelling with a view to develop new insightful products
- Identifying, assembling, and enriching a wide range of structured and unstructured data to support new automotive forecasts and analysis
- Data wrangling and data mining to support product innovation and model creation
- Optimizing efficiency using cutting edge data science techniques (e.g. NLP, Deep Learning)
- Build/maintain ETL infrastructure
Qualifications and skills
- 2+ years’ experience as a data scientist
- Degree in Computer Science, Statistics or related quantitative field
- Expertise in programming/scripting within Python is a must
- Well-organized, structured approach to problem-solving
- Proven experience with SQL and NoSQL databases
- Ability to build models (e.g. Linear regression, ARIMA, KNN, Logistic, Classification and Regression Trees, Naive Bayes) with a view to solve complex high dimensional data
- Hands on experience with AWS is desirable
- Familiarity with data science platforms such as KNIME is a bonus
- Knowledge of OLAP and ETL processes
- Good communication skills, collaborative team spirit, curiosity to constantly keep thinking of unique approaches and solutions.
- Ability to work independently.
We Offer
- A competitive salary
- Work Life Balance
- Diverse projects which enable continuous learning
- Integrated Global Team
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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.
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. The company also participates in the E-Verify Program to confirm eligibility to work in the US.
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