Brief Description of position:
- PURPOSE OF ROLE
Please summarise the overall purpose of the role.
- Conceptualize the analytical solution for the business problem by implementing statistical models and programming techniques
- To make sure any roadblocks in implementation is brought to the notice of Sr Data Scientist or Analytics Manager so that project timelines do not get affected
- Build end to end AI products utilizing Azure Dev Ops
- Document every aspect of the project in standard way, for future purposes - Storyboarding and presenting the insights to senior leadership
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- KEY TASKS AND ACCOUNTABILITIES
Please list, in bullet format, the key actions and accountabilities of the role on both a transactional/operational and strategic level (if applicable). Include the day-to-day as well as longer term goals and indicators. Taken collectively, the ‘key tasks and accountabilities’ are what a successful post-holder would do and achieve whilst in the role.
- Understand the business problem and constraints to work with Sr. Data Scientist and translate that to an analytical problem; participate in the solutioning process
- End to end development of machine learning or deep learning models as a product
- Drive business actions by translating complex analysis over large datasets into insights
- Communicate the insights using business-friendly presentations
- Document every aspect of the project in standard ways
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- BUSINESS ENVIRONMENT
Please describe how the role fits into, and interacts with, the wider business. Include a summary of the activities of the wider department/business function in which this role is based. Please also use this
section to highlight the key strategic interactions (in terms of scope, key business relationships leveraged, etc) if this is applicable.
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• Challenges
- Work with internal clients at ABI to understand their business problems, translate those problems into statistical problems like survey design, experiment design, optimization, forecasting, etc which can best address those business problems, work with statistical experts to develop robust models and generate business insights
- Use complex statistical modelling to provide answers to key BU questions around pricing and promotions, assortment, forecasts, etc
- Summarize insights and recommendations to be presented back to the business - Use innovative methods to continuously improve the quality of statistical models
• Evaluation Criteria:
- High quality code written within timelines given
- Following processes and adhering to documentation goals
- High quality presentations
- Questions from business stakeholders answered satisfactorily within agreeable time -
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- QUALIFICATIONS, EXPERIENCE, SKILLS
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Please list the following requirements
• Level of educational attainment required:
- B Tech in any branch, Statistics, Applied Statistics, Economics, Econometrics, Operations Research or any other quantitative analysis
• Previous work experience required
- 3-6 years in data science role, preferably in CPG domain
- ETL and Exploratory data analysis
- Experience working with large amounts of real data with SQL (Teradata, Oracle, or MySQL) and R, or other statistical package
- Well versed with Machine learning and Deep learning algorithms implementation
- Exposure to working with complex datasets, machine learning and DL libraries like pandas, scikit-learn, TensorFlow, Keras, Pytorch etc
- Capable of building insightful visualizations in Python, R
- Experience with cloud platforms like Azure, Google Cloud, AWS will be preferred
•Language skills required
• IT skills required
- Statistical languages (Python, R) (mandatory)
- Advanced Excel
- SQL (atleast one database)
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- COMPETENCIES
Please list the technical competencies for optimal performance. Differentiate between essential, desirable, and less relevant technical competencies.
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1.Behavioural Competencies:
• Builds trust
• Honest and fair
• Interpersonal skills
• Positive attitude
• Productive
• Takes responsibility and makes effective decisions
• Problem solving
• Planned and organized
2.Interpersonal Expertise:
• Resolves conflicts constructively
• Respect for others
• Supports diversity and understand others’ perspectives
• Communicates effectively
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- BEHAVIOURAL COMPETENCIES
With reference to the AB InBev Global Competencies, please identify and list the key behaviours and working style preferences which will enable optimal job performance. Differentiate between essential, desirable, and less relevant behavioural competencies dependent on the level of the role.
The core AB InBev Global Competencies are as follows – please note that your list of behavioural competencies is not limited to these, but due consideration should be given to them. You may add additional behavioural competencies where relevant.
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AB InBev Global Competencies
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Think big, and takes on big challenges
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Essential
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Develop the best people and teams
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Desired
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Has impact and influence
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Desired
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Executes with discipline
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Essential
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Acts as an owner
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Essential
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Leads by example
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Essential
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- JOB ADVERT
Please enter in the full job advert to be posted externally. Internal posts will mirror the job description above unless you state otherwise. If the job advert needs to be posted in more than one language, you will need to supply the translation
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English Text:
AB InBev
Global Ops Analytics team is building a team of 50+ Data Science COE in GCC. Our charter is to transform Operations using ML & AI. We're looking for a motivated, self-driven owner who wants to be part of a start-up style environment that combines the resources and future mobility offered by a large corporation. Ideally you have a broad skill set and a zeal to continuously evolve yourself to take on any challenge. Team successfully developed Optimizers , Voice To Text Sentiment Conversion Platforms & OCR/NLP Platforms using Deep Learning Techniques last year .We are now looking to onboard best in Class ML & AI Experts to fullfill the 2020 dream of supporting all Global Zones.
Education:
- B Tech in any branch or degree in Statistics, Applied Statistics, Economics, Econometrics, Operations Research or any other quantitative fields
Mandatory Requirements:
- 3-6 years in data science role, preferably in CPG domain
- ETL and Exploratory data analysis
- Experience working with large amounts of real data with SQL (Teradata, Oracle, or MySQL) and R, or other statistical package
- Well versed with Machine learning and Deep learning algorithms implementation o Exposure to working with complex datasets, machine learning and DL libraries like pandas, scikit-learn, TensorFlow, Keras, Pytorch etc
- Capable of building insightful visualizations in Python, R
- Experience with cloud platforms like Azure, Google Cloud, AWS will be preferred
Primary Responsibilities:
- Conceptualize the analytical solution for the business problem by implementing statistical models and programming techniques
- To make sure any roadblocks in implementation is brought to the notice of Sr Data Scientist or Analytics Manager so that project timelines do not get affected
- Build end to end AI products utilizing Azure Dev Ops
- Document every aspect of the project in standard way, for future purposes
- Storyboarding and presenting the insights to senior leadership
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