Description:
» Associate Director, Data Scientist - Automotive Supply Chain and Technology
Associate Director, Data Scientist - Automotive Supply Chain and TechnologyAssociate Director, Data Scientist - Automotive Supply Chain and Technology
Description of Duties
The Automotive Supply Chain and Technology (SCT) team at IHS Markit is in search of an Data Scientist (Associate Director) to support its global team's ongoing product developments. This role will be primarily focused on building models underpinned by IHS Markit proprietary datasets to address various business needs, for example forecasting the availability and future take rates of key technologies deployed to cars in the future or supply chain developments.
The Data Scientist (Associate Director) will be
A Coach: be someone who mentors our data science team on best practices, technologies and approaches whilst initially not having direct managerial responsibility
Be knowledgeable: As someone in the know , provide statistical and mathematical concepts and expertise to be applied to an evolving set of requirements to reflect the significant change happening in the automotive industry. Supports relevant stakeholders through quantitative analytics
Take Action: Conceive, implement and/or oversee the implementation of appropriate advanced modelling to support SCT team key product initiatives, up until these are productized. Tackle complex problems in the automotive supply chain and technology space using a range of ML and data analysis methods, workflow software (e.g. KNIME) in combination with more traditional coding (e.g. Python), Proof of Concept creation and initial validation. Foster a culture that constantly raises the bar for us and others and supports the freedom to explore and innovate.
Deliver: Work directly with the heads of research domains, the head of the business line, and the product management team. Influence them with compelling product ideas based on data insights that can move the dial on our business.
Responsibilities and duties
Be the go-to modeler in the team deploying the very best algorithms for each use case, be that existing or bespoke algorithms.
Research, design, implement and deploying full-stack scalable data analytics leveraging in-house data and other sources to support 1) new forecasting products, 2) quality enhancement 3) increased automation levels
Drive simultaneous Data Science projects creating and tracking key milestones with various business and data science stakeholders
Creation of proof of concepts with clear documentation which can be productised
Creation of full workflows utilising Python
In some instances be involved in data restructuring and transformation for large inter-connected data sets
Implement best practices for the methodology and process of project discovery, data extraction, experimentation, validation, modelling and delivery
Build/maintain ETL infrastructure
Qualifications and skills
7+ years experience as a data scientist and managing data science projects, having worked on strategy or full-life cycle data science.
Expert in Python is a must
Ability to build models (e.g. Linear regression, ARIMA, KNN, Logistic, Classification and Regression Trees, Naive Bayes) and use one or more machine learning library/frameworks (e.g. Scikit-learn) with a view to solve complex high dimensional data
Hands on experience with cloud infrastructure, specifically the AWS suite for Data Scientists including SageMaker
Experience working with data mining tools such as SPSS, Python, SAS combined with predictive modelling (linear and non-linear regression, time series analysis models, etc) is a requirement.
Proven experience with SQL and NoSQL databases like Oracle DB, SQL Server, MongoDB, MySQL
Familiarity with data science platforms such as KNIME highly desirable but not a must
Experience in managing other data scientists a bonus
At minimum, a Degree in Computer Science, Statistics, Applied Math or related quantitative field with proven work experience in the data operations/scientist field
Ability to translate technical jargon into layman s terms and vice-versa
Familiar with techniques to manage large databases, including partitioning, compression, and indexes as well as data mining
Hands on experience with data visualisation tools such as Power BI and Tableau
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 and think laterally
Experience committing to deadlines whilst multi-tasking
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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. 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
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Current Colleagues
If you are currently employed by IHS Markit, please apply internally via the Workday internal careers site.
,Company Name:Markit India Services Pvt Ltd
Company Description:
Markit India Services Private Limited is a Private incorporated on 06 March 2009. It is classified as Subsidiary of Foreign Company and is registered at Registrar of Companies, Delhi. Its authorized share capital is Rs. 500,000 and its paid up capital is Rs. 500,000. It is inolved in Business activities n.e.c.
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