Job Location: Bangalore
Job Title
Marketing Analytics- Data Science
Job Description
#L1-PHILIN
Philips is a global leader in health technology, committed to improving billions of lives worldwide and striving to make the world healthier and more sustainable through innovation. Driven by the vision of a better tomorrow.
But it’s not just what we do, it’s who we are. We are 80,000, wonderfully unique individuals, with two things in common. An unwavering sense of purpose and a relentless determination to deliver on our customers’ needs. It’s what inspires us to create meaningful solutions – the kind that make a real difference – when it matters most.
The world and our customers’ needs are changing faster than ever before and while we are proud of what we do already, we know we can do more. That’s why we need you, to help us tackle increasingly complex challenges posed by ever evolving health and well-being needs.
In this role, you have the opportunity to make life better
Looking at the challenges the world is facing today Philips’ purpose has never been more relevant. So whatever your role, if you share our passion for helping others, you’ll be working towards creating a better and fairer future for all.
Your responsibilities
- Work across multiple stakeholders, understand the business problem and recommend and execute optimal data science solution
- Being able to drive data science solutions execution independently
- Hands on experience on using multiple coding languages including but not limited – python, R, Unix, SQL, Data Bricks, Spark etc.
- At least 5-6 years of experience in Marketing Data Science solution execution & delivery
- Strong communication and storytelling skills
- Have research mindset in being able to recommend novel solutions and methodologies for the problems at hand
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Develop solutions include supporting execution of already established Global programs and designing new/be-spoke solutions for marketing analytics workstreams including but not limited to:
1. Customer Engagement Models
2. Customer Segmentation & Clustering
3. Customer CLTV Modelling
4. Propensity Modelling
5. Opportunity – Win/Loss Prediction
6. Etc…
Your team
You’ll be part of the Marketing Insights & Analytics team, composed by business analysts and data scientists and led by a Global Head of Marketing Data Analytics, within Philips Group. You’ll be based in our Bangalore office.
We are looking for
Our ideal candidate is a Hands On Data Science professional with a strong Marketing Analytics background, willing to take his career to the next level by joining Philips and working on a global scale.
The main requirements for this role are:
- BTech/MTech/Masters in Statistics/Economics a reputed institute
- Hands on experience on Python, Unix, Databricks, Spark, SQL, and BI tools (Qlik/ PowerBI/Tableau)
- Maintains awareness of new and emerging technologies and the potential application on client/customer engagements.
- International background, able to manage multiple stakeholders in different Countries and contexts.
- Familiarity with SaaS Marketing automation tools will be an advantage.
- Strong leadership skills and the ability to work across cultures, teaming up with colleagues located in all the global markets where Philips has offices.
- Fluent business-level English is a necessary requirement. Additional languages are welcome.
Why should you join Philips?
Working at Philips is more than a job. It’s a calling to create a healthier society through meaningful work, focused on improving 3 billion lives a year by delivering innovative solutions across the health continuum. Our people experience a variety of unexpected moments when their lives and careers come together in meaningful ways.
To find out more about what it’s like working for Philips at a personal level, visit the Working at Philips page on our career website, where you can read stories from our employee blog. Once there, you can also learn about our recruitment process, or find answers to some of the frequently asked questions.
With Marketing Data Analytics (MDA) team’s deliverables becoming well accepted Global Programs (for e.g. PH MMM & Promotion Effectiveness) involving frequent deliveries of data science solution outputs across multiple markets and business, there is an increase in the roles as to manage scale. multiple stakeholders and to ensure continuous and flawless insights to the business.
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