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Data Science Senior Analyst
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We are seeking a highly skilled Data Science Senior Analyst to join our team at PepsiCo Deutschland GmbH. As a key member of our global data science team, you will play a pivotal role in shaping the future of data science and delivering impactful business solutions on a global scale.
Key Responsibilities- Contribute to digital projects, collaborating with team members to ensure successful project execution.
- Assist in defining and integrating data science needs into product roadmaps.
- Support ML engineers in transitioning models to scalable, production-ready solutions.
- Provide data-based recommendations to influence product teams and drive strategic decision-making.
- Provide subject matter expertise and technical support for digital projects.
- Ensure seamless data access and preparation for model development.
- Build and validate models to address complex business challenges.
- Support the adoption and use of the Platform toolset, showcasing 'the art of the possible' through demonstrations to business stakeholders as needed.
- Actively participate in innovation activities, exploring and implementing cutting-edge data science techniques.
- Stay current with state-of-the-art methodologies, conducting research to integrate the latest advancements into the team's work.
- Assist in large-scale experimentation, building and validating data-driven models to solve complex business problems.
- Assist product managers in understanding data science requirements and assessing DS components in roadmaps.
- Coordinate work activities with business teams, IT services, and other relevant stakeholders to ensure cohesive project progress and integration.
- Help define key performance indicators (KPIs) and metrics to evaluate the effectiveness of analytics solutions for specific use cases.
- Translate business requirements into well-defined modeling problems.
To be successful in this role, you will need:
- Minimum of 4 years of experience working in the commercial, insights, revenue management, supply chain, manufacturing, or logistics sectors.
- 4+ years of experience working in a team to deliver production-level analytic solutions.
- 4+ years of experience in ETL and/or data wrangling techniques. Fluent in SQL syntax.
- 2+ years of experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
- 2+ years of experience in developing business problem-related statistical/ML modeling with industry tools, primarily focusing on Python or Scala development.
- Hands-on experience in deploying machine learning models into production and working with large datasets.
- Experience with big data technologies like Spark, Hadoop, or similar frameworks.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Fluent in version control systems like Git.
We value diversity and are an equal opportunity employer. If you are passionate about data science and want to make a meaningful impact, we encourage you to apply.
