Data Scientist
- Assist in the development, evaluation, and deployment of innovative data science solutions in support of ensure supply decision making.
- Introduce Machine Learning methodologies across a wide breadth of business use cases.
- Identify needed data and prepare data for model development.
- Acquire an understanding of business problems and translate them into appropriate mathematical depictions.
- Interpret the results, draw conclusions, and present findings / recommendations to appropriate groups to help identify actionable steps.
- Act as an internal consultant by integrating with functional customers to identify opportunities, scope and define the business problems, and assist in the deployment of self-service tools and applications.
- Engage in constructive collaboration with a broad range of team members from diverse functional backgrounds, by communicating complex ideas in understandable terms.
Responsibilities and essential job functions include but are not limited to the following:
- Develop advanced analytics applications from use case concept to experimental design to industrialization / deployment to end users.
- Develop, maintain, and enhance machine learning models across a wide breadth of applications.
- Collect, cleanse, and understand complex data sources to enable proper analytical modeling
- Research, design, develop, test, and implement data science methodologies across a wide range of business applications.
- Define and develop programming for self-service decision support solutions that leverage predictive, prescriptive, and scenario optimization tactics.
- Participate in Special Projects, Pilots, Proof of Concepts, and Ad-hoc project work.
- Participate in the evaluation, intake, design, and integration strategy between multiple Ensure Supply functions and data sources for varying Nestlé businesses.
- Support proper stakeholder management to ensure all parties are aligned and updated throughout project life cycle.
- Design and build advanced visualization tools that will simplify the outputs of the models, with the goal of being integrated into a self-service operational model across the business stakeholders.
- Develop professional presentations and project status reporting appropriate for their intended audience.
- Train stakeholders to utilize and understand analytics solutions.
- Work with a team of Data Scientists, Manager, Ensure Supply Data Science and Sr. Director, EA Ensure Supply Analytics to generate innovative, cross-functional solutions which comprehensively address the asks of the business.
- Collaborate with Analytics, and Insights teams, and business functions across portfolio of analytics projects.
- Undergraduate Degree in Computer Science, Engineering, Mathematics, Statistics, Business or a similar field.
- 1+ years of experience using various programming languages (Python, R etc.) to develop analytics solutions or machine learning methods and algorithms to address business priorities, with focus on consumer products preferred.
- Business acumen (strong understanding of how business operates, and how to harness data and analytics to meet business needs).
- Ability to develop and deploy advanced analytical models and algorithms that drive profitable growth at NUSA.
- Strong working knowledge of a variety of machine learning techniques (Regression, Clustering, Decision Tree, Neural Networks, Bayesian models etc.).
- Familiarity of MLOps best practices for deploying, monitoring, and maintaining solutions in production.
- Proficiency in scripting in python, including the ability to write efficient code to automate tasks, manipulate data, and perform various operations using python libraries and frameworks.
- Proficiency in developing analytics solutions in python, with hands on experience leveraging python’s data manipulation, analysis, and visualization libraries.
- Understanding of object-oriented programming (OOP) in python and how to effectively implement classes, objects, and inheritance hierarchies to create modular and reusable code.
- Proficiency in visualizing/presenting data for partners using visualization tools such as PowerBI, Tableau or Streamlit.
- Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment.
- Good facilitation and presentation skills.
- Excellent oral and written communication skills, organizational and time-management abilities.
- High initiative, self-starter, and able to work with limited supervision.
- Note: Nespresso is not a federal contractor and does not maintain affirmative action programs