Data Scientist

Job description

Poland - Warsaw – Konstruktorska

Are you looking to take your career to the next level? Join us!

Data Scientists at P&G are passionate about transforming data into valuable insights and decisions, having the ability to mine terabytes of data, develop models and algorithms, communicate and influence business, and deploy production ready solutions in the fields of predictive modelling, optimization, natural language processing, computer vision and others.

Within our Supply Chain IT, we help make sure everyday use products (like diapers, laundry detergents, disinfectants, soap or shampoos) reach people reliably where and when they need them. As part of our hard work during COVID we were able to maintain service and meet needs of people where some competitors could not.

At this moment, we’re looking for a hardworking DS to join one of our Data Science and MLOps teams, working on predictive modelling solutions relating to events of high volatility or previously unseen patterns. Work on a multitude of ML problems building, improving and maintaining our “industry first, unsolved before” response to a business problem, that the users are raving about. We’re in production, but dynamically growing - so you’ll be able to both learn from us and contribute your share.

The job will demand to "go beyond kaggle", working on sustainable models that are economical to use and put you in international collaboration with data scientists, specialists and analysts across the world. We need you to be an effective programmer, capable of building internal python packages that can be used across multiple projects, as well as a great communicator, being able to explain, visualize and troubleshoot machine learning models’ behavior hand in hand with business specialists.

Job Qualifications

We are looking for:

·  Solid Data Science background in areas of: Supervised learning, Time Series, ML Algorithms (XGBoost, LightGBM, scikit-learn)
·  At least 3 years of experience as a Data Scientist or a related position (Data Engineer / Software Engineer / AI Engineer / ML Ops)
·  Strong Python programming skills
·  Excellent collaboration skills and working comfortably within a cross-functional team
·  Shown success in leadership, problem solving and priority setting
·  English proficiency and at least a Bachelor's degree.

Nice to have:

·  Knowledge of Git, SQL, Spark, Databricks, Azure will come helpful.
·  Prior background knowledge of Supply Chain or FMCG domains

Just so you know - You might be expected to travel for up to 10% of your time – except for the period of time related to the restrictions of Covid-19.

What we offer

·  Work in an international team with global responsibilities (with large part of engineering team located in Warsaw)
·  Industry Certifications (e.g. DevOps, Professional Scrum Master, Azure Fundamental, SAFe Agilist and many others)
·  Competitive salary and benefits program (private health care, life insurance, P&G stock options, saving plans, lunch subsidy, sport cards, in-office fitness center)
·  Internal coaching programs & training
·  Flexible working arrangements
·  Long-term career with development and growth opportunities
·  Additionally, we offer the  Flex Fund  benefit – empowering you to craft a personalized benefits package tailored to your unique needs, priorities, and life stages. Whether you prioritize health and wellness or crave the perfect work-life balance, seize the freedom to select what truly matters to you.

Who we are

P&G was founded over 180 years ago as a simple soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We’ve spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams has helped us grow into a global company that is governed responsibly and ethically, that is open and transparent, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.

We commit to provide you with equal opportunities in employment! We value diversity and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Schedule
Full time

Job Number
R000094890

Job Segmentation
Recent Grads/Entry Level (Job Segmentation)