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Data Scientist

в Philip Morris International

150 000 —‍ 300 000 ₽/мес на руки

📍 Москва (м. Цветной бульвар)Офис или гибрид

Специализация

Data Science / Machine Learning

Уровень

Middle-to-Senior

Команда

6 - 10 человек

Philip Morris International delivering a smoke-free future. Future on smoke-free products that—while not risk-free—are a far better choice than cigarette smoking.

Philip Morris International is transforming and IT must transform as well, to modern applications running in the cloud, focused on speed and agility. The company is building a state-of-the-art cloud platform for the Russian market. The platform will be the center of the IT ecosystem in Russia and is a core component of the IT transformation.

You will use orchestrate appliance of Machine Learning, intelligent data research and advanced analytical tools to optimize and deliver cost efficiency of PMi business processes.

Stack

MS ExcelSQLPython

Responsibilities

Optimize business processes with roll-out of machine learning and intelligent data research.
Develop data-driven proposals for business process optimization and work them through with internal stakeholders.
Ensure applicability of the developed models and data quality.
Manage and own end-to-end execution of machine learning projects of the Company.
Communicate and Collaborate with internal business stakeholders, data science peers and colleagues responsible for data storage.
Present and discuss research insights with business stakeholders.
Data engineering for the purpose of research.
Generate data-driven insights to create and develop recommender and predictive systems.
Combine, enhance and modify multiple data science models and products to develop new products for business process optimization.

Requirements

Excellent math methods and algorithms knowledge: probability theory, math statistics, linear algebra, optimization methods.
MS Excel, SQL – advanced user, able to quickly work with big data sets.
MS Power BI – competent user, able to visualize data insights and results of research.
Python – competent user, uses numpy, scipy, pandas, sklearn libraries, knowledge and practical experience with core ML algorithms (Logistic Regression, Random Forest, Boosting, Neural Networks).

They offer

Learning and development opportunities, including international assignments.
Competitive salary.
Corporate Pension plan.
Life and disability insurance, voluntary medical insurance (inc. dental care and critical diseases).
Additional paid day offs on personal event.
Meal allowance.
Flexible working hours.
Remote work.
Compressed Friday.
Multisport co-sponsoring program.
Social and charity events.
Guest Talk» program – external speakers share best practices.
Employee Assistance Program (EAP).

Hiring process

HR interview (motivation, projects) - 30 min.
Technical interview (statistics, Python, SKL + real business case with a schedule) - 1 h.
The test task.
Final interview with the Manager - 1 h.

Арина Каргина Talent Partner

О компании Philip Morris International

Сфера

Производство

Инвестиции

Приватное финансирование

Размер

1001+

Philip Morris International — ведущая международная табачная компания. Компании принадлежат 6 из 15 ведущих торговых марок, среди которых Marlboro, Parliament, L&M, HEETS, IQOS и Lil solid. C 2016 года PMI трансформирует свой бизнес, намереваясь полностью отказаться от производства сигарет в пользу бездымных продуктов. Входит в список лучших работодателей России по версии Top Employer Institute.