S&P Global Hiring for Associate Data Scientist – Automotive Supply Chain & Technology at Gurgaon, India Full Time

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

Equal Opportunity Employer:

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only:

The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.