Position Title:  Data Science Lead

PURPOSE OF THE POSITION: Delivering a Smoke Free Future!

Philip Morris is leading the transformation of our industry with Reduced Risk Products.

We’re totally transforming our business and building our future on smoke-free products with the power to improve the lives of a billion smokers worldwide. The intent is to help every smoker to stop or switch to a less harmful alternative. This is our smoke free future mission. As we transform our industry, so we are transforming our business to be more consumer focused, innovative, forward leaning, and agile.

Data Science Lead is to lead development and execution of best-in-class advanced analytics capabilities at PMJ to enable the organization to achieve data driven decision making. Data Science Lead acts as an Innovator & thought-leader supporting the Management team by providing subject matter expertise with quality in tackling complex business problems using advanced and more contemporary methodologies and techniques. The areas of application include but not limited to new product launches, market dynamics understanding, customer segmentation and targeting analytics, omni-channel CRM and identifying potential growth/ competitive advantage. Data Science Lead is also to build robust analytics capability for the future, leveraging emerging capabilities such as artificial intelligence, machine learning, and robotics process automation etc. to strengthen our competitive edge in analytics.

ACCOUNTABILITIES

Accountability 1

Continue to build upon and enhance advanced analytics solutions, oversee and lead the execution of the strategy and plan of action - Design and build required capabilities, infrastructure to deliver the advanced analytics plan and portfolio - Proactively develop and implement new and innovative solutions to meet business needs and resolve business issues - Enhance operating model to ensure agility, flexibility and quality service while optimizing efficiency and cost

Accountability 2

Analyze, communicate & recommend - Perform / Lead detailed data analysis, data validation and identify data quality issues - Analyze and communicate actual performance regularly and ad-hoc - Gather insights, analyze & share findings, incorporate/advise to adjust corporate / functional strategy accordingly - Provide actionable, strategically focused, evidence based insights and recommendations to functions and management - Work closely with leadership & other functions to ensure plans deployed are data-driven - Develop advance and predictive models that provide valuable insights to management

Accountability 3

Data analytics development leadership - Review the latest technological/data analytics development and identify those that should be researched further - Identify external partners capable to develop prospective data analytics solutions - Lead data analytics development projects in-line with timelines and quality levels required for RRP development - Liaise with IT, other analytics teams (such as BI) or vendors to ensure proper development of systems/tools to support analytical capabilities and maximize efficient use of resources.

Accountability 4

Compliance Carry out all of the activities ensuring that PMI Compliance Policies, standards, and laws relating to these activities are fully respected, integrated and understood by stakeholders, and implement adequate processes to ensure the protection of information of a confidential nature.

REQUIREMENTS

Work Experience

Excellent business knowledge with a minimum of 5 years of experience in data science analytics, and business intelligence with stakeholder management experience. Data analytics consulting & people management experience is a plus.

Education

College/University master’s or bachelor’s degree in economics, Statistics, Physics, Computer Science, Informatics or Mathematics MBA is a plus Excellent business knowledge.

Skills / Function Specifics:

1. Strong in Commercial and Consumer based analytics.

2. Strong hands-on experience in delivering predictive and prescriptive solutions with solid foundational skills in statistical, machine learning, deep learning models. Experience in computer vision and mathematical optimization are plus.

3. Solid understanding of structured and unstructured data.

4. Solid hands-on experience in SQL and Python (with R being beneficial).

5. Familiar with conventional and cloud based advanced analytics tools (Amazon SageMaker, Azure ML, Google Cloud AI etc.) and Master Data Management framework and methodologies.

6. Passionate in keeping pace with the analytics industry, including new technologies, new methodologies.

7. Demonstrable experience in constructing and supporting data driven decisions throughout the cycle - from opportunity detection & requirements gathering, data landscape assessment, hypothesis testing and analysis, insights generation and ultimately business decision prescription in 2-3 of the following domains -

8. Online/Offline journey optimization - multi-touch advertising – Attribution, ROI and optimization

9. Consumer analytics - churn modelling, segmentation

10. Lookalike Modelling - Time series analysis, Causal Inference

11. Supply Chain Planning -Demand Forecasting, Inventory Optimization.

12. Strong strategic thinking, networking, communication and influencing skills. Ability to lead and manage a wide range of work with virtual and matrix teams including vendors / contractors.

13. Strong visualization techniques and skills in PowerPoint. English skill - capable to write, communicate and facilitate the discussion and meetings with senior leaders.

JOIN A GLOBAL MARKET LEADER 

PMI is the world’s leading international tobacco company, with six of the world's top 15 international brands and products sold in more than 180 markets. In addition to the manufacture and sale of cigarettes, including the number one global cigarette brand, and other tobacco products, PMI is engaged in the development and commercialization of Reduced-Risk Products (“RRPs”). RRPs is the term we use to refer to products that present, are likely to present, or have the potential to present less risk of harm to smokers who switch to these products versus continued smoking. We have a range of RRPs in various stages of development, scientific assessment and commercialization. Because our RRPs do not burn tobacco, they produce far lower quantities of harmful and potentially harmful compounds than found in cigarette smoke. For more information, see www.pmi.com and www.pmiscience.com.  

PMJ is an Equal Opportunity Employer.