Senior Data Scientist - Model Risk Office

Procter & Gamble; Warszawa; Hybrid; PLN 260,000 - 380,000; Full time

Benefits offered by this job

Private health care

Life insurance

Stock options

Saving plans

Lunch subsidy

Sports cards

In-office fitness center

Job summary

Procter & Gamble Warsaw Hub is seeking a Senior Data Scientist to impact multiple algorithmic programs across Retail, Digital, and Supply Chain. You will help ensure methodology soundness, manage risk in ongoing data science projects, and guide production-grade deployments.

You will join a global team of data scientists, work across ML, optimization, GenAI and BI contexts, and contribute to a resilient data pipeline culture in a scale-driven environment.

Qualifications

• Master's or higher in statistics, OR, CS, applied math or related quantitative field.
• At least 5 years in Data Science with 3+ years in production-grade DS/applications.
• Strong programming in Python; Spark experience preferred.
• Solid ML, optimization/OR, simulations, predictive modeling skills.
• Proven leadership, problem solving, and prioritisation abilities.
• Detail-oriented, curious, and collaborative across teams.
• Experience with Databricks/Spark/BigQuery; BI tools like Power BI or Tableau.
• Familiarity with Agile DevOps, Git/Github, Jira, Confluence.

Responsibilities

• Analyze data science implementations for methodology and assumption gaps.
• Identify risks in algorithms under development and propose remediation.
• Collaborate with global teams to build reliable algorithmic solutions.
• Translate data insights into actionable business guidance for stakeholders.

Skills

Leadership

Problem solving

Collaboration

Attention to detail

Curiosity

Education

Master's in quantitative degree

Bachelor's/Engineer with DS experience

Tools

Python

Spark

Databricks

BigQuery

Power BI

Tableau

GitHub

Jira

Confluence

Job description

Job Location

WARSAW DOWNTOWN OFFICE

Job Description

We are looking for a passionate Senior Data Scientist who is eager to make an impact on their career and take on a new challenge!

P&G Scaled Data Science Hub in Warsaw is dynamically growing and making impact across most key algorithmic investments of the Company. We work across problems and algorithmic products related to Retail, Media, Digital commerce, R&D, Supply Chain, Productivity, Knowledge management and others. With the growth, we are happy to offer Senior Data Scientist roles.

This particular role is going to be part of our Model Risk Office, where a team of experienced Data Scientists analyzes data science implementations for methodology and assumption gaps, identifying risk of algorithms under development, and providing guidelines for closing them. We work across methodologies (e.g. ML, optimization/OR, deep learning, GenAI etc) and business domains, and the ideal candidate should be able to show both methodology knowledge and business curiosity. For this position, knowledge of Optimization/Operations Research apart from ML is strongly desired.

P&G hires for careers, not for roles - in your future roles, you will be able to continue to grow your data science career in another core data science domain, AI Engineering or broader IT if you choose to. In Warsaw Hub we specialize in developing and bringing algorithms to scale, always keeping impact, value, resilience, and reliability in mind. Our work impacts P&G's 100k+ employees and billions of consumers around the world.

You will join a renowned company improving lives of billions of consumers by applying data science. You’ll be welcomed within a 200+ global team of Data Scientists across US, Panama, Switzerland, Belgium, Poland, Singapore, India and China. You will be able to network and learn from scientists with diverse backgrounds and seniorities.

On top, in our Warsaw Hub, we do plenty of knowledge sharing on a weekly basis and have a unique job setup which will allow you to experience data science beyond your own key scope of responsibilities. Our best-in-class P&G AI Factory platform you will use is an example taught about by Harvard Business School, and we continuously improve our developer experience, thanks to our strong AI Engineering team.

With us you will Partner with product teams and business leaders to fully understand the problem, and data science, AI & data engineering teams across the world to ensure they are building reliable algorithmic solutions. Develop your insights to guide other data scientists in their work, ensuring they create positive impact to P&G's people and business. Be exposed to systems and pipelines utilizing big datasets – e.g., translating 1.5TB daily consumer touchpoints and 500 million consumers' behaviors to actionable recommendations. Help data science teams efficiently answer business questions and propose solutions for business problems by applying machine learning techniques and algorithms. Further develop understanding of machine learning, statistics, optimization, GenAI, and other advanced analytical models – and how to apply them to real-world problems. Further learn what it takes to build and maintain a resilient algorithmic pipeline that passes the test of time, and what it takes for an algorithm to materialize its impact and value. Review and write production-grade code applying best practices.

Job Qualifications

• At least a Master's in a quantitative degree (Statistics, Operations Research, Systems Engineering, Computer Science, Applied Math, Economics), Bachelor's/Engineer degree with sufficient consecutive data science experience
• At least 5 years of experience in Data Science, with at least 3 years of experience with production-grade Data Science / algorithmically enabled applications
• Solid code understanding and writing capabilities - Python and Spark are preferable
• Strong technical & analytical skills (machine learning, optimization/operations research, simulation, predictive modeling etc)
• Proven success in leadership, problem solving, and prioritising
• Attention to detail, curiosity, strong collaboration skills and working comfortably across teams
• Desired experience with Big Data ecosystem: Databricks, Spark, BigQuery
• Basic understanding of Business Intelligence Tools such as Power BI, Tableau
• Experience with Agile DevOps, Github, Jira, Confluence

What We Offer

• Work in an international Data Science team with global responsibilities (with a large part of the engineering and product teams located in Warsaw)
• Long-term career with development and growth opportunities
• Competitive salary and benefits program (private health care, life insurance, P&G stock options, saving plans, lunch subsidy, sports cards, in-office fitness center)
• Relevant trainings, certifications, and conference participation
• Internal coaching programs & training
• Flexible working arrangements

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.

At Procter & Gamble, we embrace a hybrid work model that combines the flexibility of remote work with the collaborative benefits of in-office engagement. Employees can enjoy the option to work from home two days a week while also spending time in the office to foster teamwork and enhance communication.

Kindly be advised that at P&G, employment is exclusively extended on the basis of 'Umowa o Pracę' (Full-time Employment Contract).

Job Schedule

Full time

Job Details

Job Number: R000140787

Job Segmentation: Experienced Professionals