Brief Description of position:

1. PURPOSE OF ROLE 

Please summarize the overall purpose of the role. 

• This role is to liaison between business and analytical teams– needs to understand the business  problem and the context, develop appropriate statistical solution and generate business insights  from the solution 
• Multi-task and develop Next gen capabilities in OCR, NLP, Image & Video Analytics
• Focus on building end to end Data Sciences products using Azure Dev Ops platform
• Research on technological advancements and mentor the Data Scientists on the same 
  
  

2. 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. 

Work involves: 

• Conceptualize analytical solutions for the business problems at hand 
• End to end development and deployment of machine learning/deep learning models
• Actively involved in solution design multiple projects and mentor data scientists - Working with the Senior Manager to create a project plan, and tracking it throughout the  project
• Ability to communicate findings clearly to both technical and business stakeholders
• Should be able to quantify the impact, design and continuously implement improvements  and align with stakeholders
• Drive cross functional connect with business teams to build transformation plans and design analytical roadmap to achieve the same
• Research on advanced and better ways of solving the problems \and inculcating best practices within the tea
  
  

3. 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.

Challenges  Understand the business problem and the constraints and consider wide range of deep learning & machine learning algorithms to finalize the most appropriate one for the problem at hand  Answer any questions from BUs satisfactorily so they have confidence on the results delivered  Work with Analytics Manager to deliver within constraints of the project like budget, resources, timelines, etc.  Evaluation Criteria:  Projects delivered in time, in budget and without business disruption  Generated business value signed off by country research stakeholders  Questions from business stakeholders answered satisfactorily within agreeable time Continuous innovation

 

4. QUALIFICATIONS, EXPERIENCE, SKILLS

Please list the following requirements  Level of educational attainment required:  bachelor’s or master’s degree in Engineering, Statistics, Applied Statistics, Economics, Econometrics, Operations Research or any other quantitative analysis  Previous work experience required  6+ years’ experience with advanced analytics, predictive modelling and machine learning Hands-on experience building complex statistical models in some of the following: Supervised – Classification, Regression, Forecasting, Unsupervised – Clustering, Anomaly detection, Linear and Non-linear Optimization L1/L2 Regularization Well versed with working with complex datasets, machine learning and DL libraries like pandas, scikit-learn, TensorFlow, Keras, Pytorch etc Experienced with word embeddings (word2vec, glove) Capable of building insightful visualizations in Python, R and Julia Experience with cloud platforms like Azure dev ops CPG experience preferred with a demonstrated history of end-to-end solution deployment (conceptualizing-development-deployment) Experience of leading teams will be an added advantage Experience in Deep learning techniques will be preferred  Language skills required  English (Fluent)  IT skills required  Advanced knowledge of Python, R

 

5. COMPETENCIES  Please list the technical competencies for optimal performance. Differentiate between essential, desirable, and less relevant technical competencies.  Behavioral Competencies:  Builds trust  Honest and fair Interpersonal skills Positive attitude Productive Takes responsibility and makes effective decisions Problem solving Planned and organized  Interpersonal Expertise:  Resolves conflicts constructively  Respect for others Supports diversity and understand others’ perspectives Communicates effectively

 

6. BEHAVIOURAL COMPETENCIES 

With reference to the AB InBev Global Competencies, please identify and list the key behaviors and  working style preferences which will enable optimal job performance. Differentiate between essential, desirable, and less relevant behavioral competencies dependent on the level of the role. 

The core AB InBev Global Competencies are as follows – please note that your list of behavioral competencies are not limited to these, but due consideration should be given to them. You may add additional behavioral competencies where relevant. 

AB InBev Global Competencies
Think big, and takes on big challenges	Essential
Develop the best people and teams	Essential
Has impact and influence	Desired
Executes with discipline	Essential
Acts as an owner	Essential
Leads by example	Essential

 

7. 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 

ABInBev 

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 fulfill the 2020 dream of supporting all Global Zones. 

Education: 

• Bachelors or master’s degree in Statistics, Applied Statistics, Economics, Econometrics, Operations Research or any other quantitative analysis 
• MBA from premier institutes preferred 

Mandatory Requirements: 

• 6+ years’ experience with advanced analytics, predictive modelling and machine learning 
• Hands-on experience building complex statistical models in some of the following: Supervised – Classification, Regression, Forecasting, Unsupervised – Clustering, Anomaly detection, Linear and Non-linear Optimization ,L1/L2 Regularization 
• Well versed with working with complex datasets, machine learning and DL libraries like pandas, scikit-learn, TensorFlow, Keras, Pytorch etc 
• Experienced with word embeddings (word2vec, glove)
• Capable of building insightful visualizations in Python, R
• Experience with cloud platforms like Azure dev ops
• CPG experience preferred with a demonstrated history of end-to-end solution deployment (conceptualizing-development-deployment)
• Experience of leading teams will be an added advantage 
• Experience in Deep learning techniques will be preferred 

Primary Responsibilities: 

• This role is to liaison between business and analytical teams– needs to understand the business  problem and the context, develop appropriate statistical solution and generate business insights  from the solution 
• Multi-task and develop Next gen capabilities in OCR, NLP, Image & Video Analytics
• Focus on building end to end Data Sciences products using Azure Dev Ops platform Research on technological advancements and mentor the Data Scientists on the same

Location

Bangalore

Minimum Qualification:

Graduate