Data Science Senior Analyst - Feature Engineering

Overview Are you passionate about shaping the future of data science and delivering impactful business solutions on a global scale? Join PepsiCo as a Senior Data Science Analyst (Feature Engineering) and become an integral part of our global data science team. In this role, you’ll be at the forefront of digital innovation, working across a diverse array of domains including consumer insights, revenue management, supply chain, manufacturing, and logistics. You will collaborate with a talented, interdisciplinary team of data professionals to develop and deploy advanced statistical and machine learning models, ensuring they are robust, scalable, and aligned with our strategic business goals. Beyond your technical contributions, you’ll play a pivotal role in fostering a culture of innovation and continuous learning within the team. By championing data science best practices and working closely with process owners, product owners, and end-users, you'll ensure that our solutions are not only cutting-edge but also practical and valuable to the business. Your expertise will be instrumental in delivering insights that enhance consumer experiences, uncover revenue opportunities, and streamline operations. As an advocate of data-driven decision-making and analytics excellence, you will stay current with the latest trends and advancements in data science and machine learning, incorporating relevant innovations into your work. By joining PepsiCo's Data & Analytics team, you will help transform data into impactful business solutions, driving innovation and fostering a culture of excellence in data science. Responsibilities Your day-to-day with us: Project Participation: 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. Technical Expertise: 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. Innovation and Research: 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. Collaboration and Coordination: 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. Performance and Metrics: 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. Documentation and Standardization: Document processes, findings, and developments comprehensively. Develop reusable packages or libraries to enhance efficiency and standardize practices. Qualifications What you will need to succeed: 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. What would be valued as a plus: Understanding of FAIR data principles and Responsible AI practices. Familiarity with Jenkins and Docker. Knowledge of advanced techniques such as Reinforcement Learning, Simulation, Optimization, Bayesian methods, NLP, and distributed machine learning. Experience with Deep Learning.  Exposure to data visualization tools like Tableau, Power BI, or similar will be advantageous. If this is an opportunity that interests you, we encourage you to apply even if you do not meet 100% of the requirements. We Are PepsiCo Join PepsiCo and Dare for Better! We are the perfect place for curious people, thinkers and change agents. From leadership to front lines, we're excited about the future and working together to make the world a better place. Being part of PepsiCo means being part of one of the largest food and beverage companies in the world, with our iconic brands consumed more than a billion times a day in more than 200 countries. Our product portfolio, which includes 22 of the world's most iconic brands, such as Sabritas, Gamesa, Quaker, Pepsi, Gatorade and Sonrics, has been a part of Mexican homes for more than 116 years. A career at PepsiCo means working in a culture where all people are welcome. Here, you can dare to be you. No matter who you are, where you're from, or who you love, you can always influence the people around you and make a positive impact in the world. What can you expect from us: Opportunities to learn and develop every day through a wide range of programs. Internal digital platforms that promote self-learning. Development programs according to Leadership skills. Specialized training according to the role. Learning experiences with internal and external providers. We love to celebrate success, which is why we have recognition programs for seniority, behavior, leadership, moments of life, among others. Financial wellness programs that will help you reach your goals in all stages of life. A flexibility program that will allow you to balance your personal and work life, adapting your working day to your lifestyle. And because your family is also important to us, they can also enjoy benefits such as our Wellness Line, thousands of Agreements and Discounts, Scholarship programs for your children, Aid Plans for different moments of life, among others. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We respect and value diversity as a work force and innovation for the organization.


Your day-to-day with us: Project Participation: 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. Technical Expertise: 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. Innovation and Research: 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. Collaboration and Coordination: 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. Performance and Metrics: 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. Documentation and Standardization: Document processes, findings, and developments comprehensively. Develop reusable packages or libraries to enhance efficiency and standardize practices.


What you will need to succeed: 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. What would be valued as a plus: Understanding of FAIR data principles and Responsible AI practices. Familiarity with Jenkins and Docker. Knowledge of advanced techniques such as Reinforcement Learning, Simulation, Optimization, Bayesian methods, NLP, and distributed machine learning. Experience with Deep Learning.  Exposure to data visualization tools like Tableau, Power BI, or similar will be advantageous. If this is an opportunity that interests you, we encourage you to apply even if you do not meet 100% of the requirements. We Are PepsiCo Join PepsiCo and Dare for Better! We are the perfect place for curious people, thinkers and change agents. From leadership to front lines, we're excited about the future and working together to make the world a better place. Being part of PepsiCo means being part of one of the largest food and beverage companies in the world, with our iconic brands consumed more than a billion times a day in more than 200 countries. Our product portfolio, which includes 22 of the world's most iconic brands, such as Sabritas, Gamesa, Quaker, Pepsi, Gatorade and Sonrics, has been a part of Mexican homes for more than 116 years. A career at PepsiCo means working in a culture where all people are welcome. Here, you can dare to be you. No matter who you are, where you're from, or who you love, you can always influence the people around you and make a positive impact in the world. What can you expect from us: Opportunities to learn and develop every day through a wide range of programs. Internal digital platforms that promote self-learning. Development programs according to Leadership skills. Specialized training according to the role. Learning experiences with internal and external providers. We love to celebrate success, which is why we have recognition programs for seniority, behavior, leadership, moments of life, among others. Financial wellness programs that will help you reach your goals in all stages of life. A flexibility program that will allow you to balance your personal and work life, adapting your working day to your lifestyle. And because your family is also important to us, they can also enjoy benefits such as our Wellness Line, thousands of Agreements and Discounts, Scholarship programs for your children, Aid Plans for different moments of life, among others. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We respect and value diversity as a work force and innovation for the organization.