Senior Manager, Data Science
Warszawa, Mazovia Province, PL, N/A
Reckitt
We are Reckitt. Home to the world's most loved and trusted hygiene, health and nutrition brands.We are Reckitt
Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose.
Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege.
Information Technology & Digital
Join our Global Data & Analytics team and embark on an exciting journey to unravel the hidden insights within vast data oceans.
We're dedicated to empowering smarter decisions and delivering superior products to our global consumers and customers.
About the role
Are you a self-driven individual with a keen understanding of business and a strong value orientation? As a Senior Data Science Manager, you'll lead by example, driving innovation and crafting cutting-edge solutions to propel our business initiatives forward. This role demands critical thinking, resilience, and the ability to thrive in a dynamic environment where challenges are met with creativity and determination.
Your responsibilities
Vision, Strategy, and Goals
- Define and execute the vision and strategy for the Data Science Chapter, ensuring alignment with broader business objectives and driving innovation across the organization.
People Management
- Build and nurture a high-performing team, fostering a culture of collaboration, continuous learning, and professional growth.
- Mentor and coach team members to unlock their full potential, ensuring a supportive and inclusive work environment.
- Lead by example, inspiring trust and accountability within the team.
Stakeholder Collaboration and Capacity Planning
- Support IT product managers by determining the 'who' and 'how' for executing data science initiatives, ensuring alignment with strategic priorities and delivering impactful outcomes.
The experience we're looking for
- Over 8 years of industry experience in data science, preferably focusing on the CPG or retail, with a strong track record of delivering impactful business solutions.
- Exceptional strategic thinking with a big-picture focus.
- Proven leadership and people management skills, with at least 4 years of experience building and developing high-performing teams.
- Expertise in stakeholder management, ensuring collaboration and alignment across diverse teams and departments.
- Advanced degree (M.Sc. or Ph.D.) in Computer Science, Statistics, Mathematics, or Physics, showcasing strong analytical skills.
- Proficiency in Python, SQL, and other programming languages to communicate effectively with technical teams.
- Strong track record in applying data science techniques like machine learning, NLP, and predictive modelling to solve complex business problems.
- Hands-on experience with large datasets and visualization tools, such as Power BI, for actionable insights.
The skills for success
SQL, Python, Computer Science, Statistics, Data Science, Stakeholder Relationship Management, Outstanding Communication, Stakeholder engagement.
What we offer
With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way.
We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.
Equality
We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you.
All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Machine Learning Mathematics NLP Physics Power BI Python SQL Statistics
Perks/benefits: Career development Health care Insurance Startup environment Wellness
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