Key Responsibilities
Efficient & Reliable Independent Contributor
- Independently design and implement complex data science projects, from initial concept through final deployment.
- Solve critical business problems with minimal oversight, ensuring the delivery of high-quality, impactful solutions.
- Proactively identify and address potential issues or opportunities for improvement in existing models and processes.
Leadership and Mentorship
- Mentor and provide technical guidance to junior data scientists and team members.
- Foster a culture of continuous learning and improvement within the team.
Advanced Model Development and Generative AI
- Lead the design, development, and deployment of advanced predictive models, LLMs, and machine learning solutions.
- Ensure the scalability, reliability, and performance of data science solutions, implementing MLOps, and LLMOps, best practices.
Strategic Collaboration
- Collaborate with business stakeholders to identify and prioritize opportunities for leveraging data to drive strategic business solutions.
- Communicate complex analytical concepts and findings to non-technical stakeholders, influencing decision-making at the highest levels.
Research and Innovation
- Conduct in-depth research and analysis to develop innovative data science solutions that address complex business problems.
- Drive the adoption of cutting-edge techniques and best practices in data science, machine learning, and AI across the organization.
Data Pipeline Management
- Oversee the end-to-end data pipeline, from data collection and processing to model deployment, monitoring, and optimization.
- Implement robust validation and monitoring processes to ensure data quality and integrity.
Thought Leadership
- Stay abreast of the latest trends and advancements in the field of data science.
- Actively contribute to the organization's thought leadership through publications, presentations, and participation in industry events.
Qualifications
- Bachelor's, Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- 8+ years of experience in data science or a related field, with a proven track record of leading and delivering high-impact projects.
- Deep expertise in advanced machine learning techniques, statistical modeling, and AI.
- Strong proficiency in programming languages such as Python, with extensive experience in machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Advanced skills in SQL and experience with big data technologies.
- Proven experience with MLOps practices and tools for model deployment, monitoring, and optimization.
- Exceptional problem-solving skills and a strategic mindset, with the ability to tackle complex data challenges.
- Strong leadership and mentorship abilities, with experience guiding and developing junior team members.
- Outstanding communication skills, both written and verbal, with the ability to effectively convey complex technical concepts to diverse audiences.
Nuestro compromiso con una cultura de inclusión y pertenencia
Ecolab está comprometido con el trato justo e igualitario de todas las personas colaboradoras y postulantes, y con la promoción de los principios de igualdad de oportunidades en el empleo. Reclutaremos, contrataremos, promoveremos, transferiremos y brindaremos oportunidades de desarrollo con base en las calificaciones individuales y el desempeño laboral, en todos los aspectos relacionados con el empleo, la compensación, los beneficios, las condiciones laborales y las oportunidades de crecimiento. Ecolab no discriminará a ninguna persona colaboradora ni postulante por motivos de raza, religión, color, credo, nacionalidad, estado de ciudadanía, sexo, orientación sexual, identidad y expresión de género, información genética, estado civil, edad o discapacidad.
