Senior Data Scientist

We are JTI, Japan Tobacco International, and we are present in 130 countries. We have spent years innovating, creating new and better products for the consumers to choose from. This is our business. But not only. Our business is our people. Their talent. Their potential. We believe that when they are free to be themselves, and they are given the opportunity to grow, travel and develop, amazing things can happen.

That’s why our employees, from around the world, choose to be a part of JTI. It is why 80% of employees feel happy working at JTI. And why we’ve been awarded Global Top Employer status, ten years running. 

So when you’re ready to choose a career you’ll love, in a company you’ll love, feel free to #JoinTheIdea. 

Learn more: jti.com

Department: Data & A.I. Center

Duty Post: Taguig City

Hiring Manager: AI Expert Manager

Role: Permanent

Senior Data Scientist / AI Manager

What is this role about?

The A.I. Manager role will work on Data & Analytics initiatives with a strong focus on leveraging data to drive strategic decision-making and deliver actionable insights across multiple business functions, including Supply Chain, Marketing & Sales, Consumer Care, GRRP and Finance. In this role will be responsible to unleash value of data through the application of advanced data science models, adopting a hands-on approach to ensure effective implementation.

The role requires a strong analytical and problem-solving background. He or she is familiar with machine learning, statistical and deep learning approaches for classifying, clustering, segmenting, and predicting complex questions. She or he is required to work with other business stakeholders, data analysts, data scientists, and data strategists to define and develop data opportunities, as well as give actionable insights and suggestions.

In addition to advanced analytic skills, this role is also proficient at integrating and preparing large, varied datasets, architecting specialized models/computing environments, and communicating results. Proficiency on natural language processing is a plus.

What will you do?

1) Explore Data Science opportunities across different functions

• Works with other business functions, data analysts, and data strategists to identify and propose  advanced analytical opportunities with a special focus on customer and consumer experience
• Identifies what data is available and relevant, including internal and external data sources, leveraging new data collection processes
• Collaborates with other business functions and markets to select the relevant sources of information 
• Partners with external providers of data and data science A.I. to developed tailored solutions for: 
  – enrich, segment, and profile data
  – predict forecast for better planning
  – classify data for process efficiency
  – improve machine predictive maintenance and parameter tuning
  – enhance consumer and customer experience
  – improve the employee experience
  – mine, track, and analyze consumer opinion and sentiment to inform cross-functional strategies

2) Data Preparation and Future Engineering

• Defines the validity of the information, how long the information is meaningful, and what other information it is related to.
• Defines the data quality standards in the context of the specific initiatives.
• Identifies and qualifies where information can be stored or what information, external to the organization may be used in support of the data initiative
• Identifies in collaboration with data analysts the main features and business drivers needed to optimize the model

3) Data Mining and Analysis

• In collaboration with data analysts and data strategists, identifies and collects data from all kinds of different sources such asweb APIs, internal database, external customer databases, and so on. 
• This will involve extending JTI’s data with second and  third party sources of information when needed
• Uses algorithms  to efficiently go through large datasets and apply treatments, filters and conditions to internal and external data.
• Processes, cleanses, and verifies the integrity of data used for analysis
• Present and depict the rationale of the findings in easy to understand terms for non scientific audience
• Provides on-going tracking and monitoring of performance of decision systems and statistical models.
   

4) Training and Support

• Ensure key business leaders are educated in new approaches, such as testing hypotheses and statistical validation of results. Helps the organization understand the principles and the math behind the process to drive organizational buy-in.
• Provides business metrics for the overall data initiative to show improvements 

Who are we looking for?

• Bachelor’s or Master’s Degree in Computer Science, Data Science, Statistics, Applied Math, Engineering or a related field  Advanced degree preferred.                                      
• 5+ years of Business professional experience (with relevant industry experience) focusing on data science and advanced analysis across multinational  organizations
• Experience working with data science languages such as R or Python and mastering SQL.
• Knowledge of major cloud computing platforms (i.e. Microsoft Azure)
• Knowledge of major Big data storage (i.e. data lake), analytical engines (i.e.Spark), and API management for model consumption.
• Mastering common supervised and unsupervised Machine Learning techniques, as well as forecasting techniques
• Proficiency on working with structured and unstructured (i.e., textual or visual) data sources

• Knowledge and experience in Natural Language Processing techniques, including sentiment analysis, text classification or topic modelling

• Knowledge of Deep Learning methods and Generative AI techniques

• Excellent written and communication skills to report back the findings in a clear, structured manner are required
• Have strong interpersonal management skills and ability to operate in indirect/remote teams

What are the next steps – Recruitment Process:

• We will make sure to provide feedback on your application within 2 weeks after the application deadline.