Enterprise Data Scientist
Are you ready to crunch any data to generate business value? Do you know when to use ANOVA and when to use Kruskal-Wallis test? Are you fluent in Python and do you know what is necessary to produce high quality code for analytics? Have you been working in a multidisciplinary environment using agile methodology? With this skillset, you are an ideal fit for our Enterprise Analytics and Data Management department and we would like to hear from you!
What do we do?
We invent and implement algorithms, we design and build analytical pipelines – all with leveraging from domains like statistics, machine learning, information and graph theory, data mining, optimization, complex network analysis etc. We work in international teams with huge cultural diversity and we interact not only with other fellow data scientists, but also with data engineers, DevOps, business owners, data architects, security and privacy experts, etc. We mostly write our analytical code in Python, but we're not afraid of R, Java and even Scala. Last but not least, we are strong supporters of Open Source.
Whom are we looking for?
·As an ideal candidate, you:
·have an MSc or a PhD degree in Applied Mathematics, Computer Science, Physics, Electrical Engineering or related field.
·have a proven track record of putting data science to work in domains such as FMCG, Finance & Banking, Telco, Transportation, etc.
·have a proven track record of hiring, training and retaining data science talents.
·know how to make your research reproducible.
·have solid understanding of data structures and algorithms, specifically advanced statistics and machine learning.
·are experienced with commonly used Big Data technology stack such as Hadoop Data Platform, Spark, Solr, Zeppelin, to name a few.
·know how to create stunning visualizations of data insights and how to deliver thrilling presentations to non-tech savvy audience.
·have experience working in multidisciplinary teams.
·have SCRUM certification or equivalent experience.
·know what GitFlow and Pull Requests are and how to use them.
·know what continuous delivery and continuous deployment are and how data scientists can benefit from it.
What awaits you?
Within the Enterprise Analytics and Data Managements global function you can use your talents to tackle enterprise-wide challenges and help in shaping up our smoke-free future. As you move up the career ladder or if you would like to explore new business areas, we support your professional and personal development through continuous trainings, conference participation, mentorship etc. We also provide you with opportunities to put your ideas into practice across all levels of the company.
In return we offer:
•Truly dynamic worldwide team dedicated to a bold new vision
•Amazing career opportunities across the globe
•Working for a certified Global Top Employer and multi-awarded company (http://bit.ly/2xTkO44)
About Philip Morris International
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 PMI uses to refer to products with the potential to reduce individual risk and population harm in comparison to smoking cigarettes. Through multidisciplinary capabilities in product development, state-of-the-art facilities, and industry-leading scientific substantiation, PMI aims to provide an RRP portfolio that meets a broad spectrum of adult smoker preferences and rigorous regulatory requirements. For more information, see http://bit.ly/2DQRcK7 and http://bit.ly/2xVMG7M.
Benefits
Performance Bonus
Flexible Working Opportunities
Professional Development & Tuition Assistance
Equity Incentive Plan & Employee Stock Purchase Plan
Retirement Plan
Work From Home
Insurance, Heath & Wellness Benefits
Maternity & Paternity Leave, Adoption Assistance
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