Responsibilities
- Collaborate with business stakeholders to understand and refine data-related questions and requirements
- Utilize advanced analytics to uncover hidden insights in large datasets and provide actionable recommendations.
- Design and implement data models and algorithms to support data-driven decision making.
- Investigate internal and external data sources to determine availability, quality, and relevance
- Identify, collect, and analyze relevant data needed to address specific business challenges
- Propose solutions to close data gaps.
- Define data structures, formats, and transformation logic needed to support reporting and analytics.
- Leverage data science techniques to uncover trends, patterns, and correlations in large datasets.
- Apply data science techniques to automate data validation processes and enhance data integrity.
- Conduct thorough quality assurance checks on data to ensure accuracy and reliability.
- Present findings and insights clearly to business stakeholders.
- Stay current with emerging trends and technologies in data research, business intelligence, and data science.
Skills
- 6+ years hands-on work experience in the domain of data science & analytics (preferably in Sales functions).
- Proficient in AI/ML algorithms (including but not limited to Recommendation engines, Classification, Regression) and implementation experience with Python libraries. (Pandas, Numpy, scikit-learn, TensorFlow, Keras)
- Data mining & preparation using Python.
- Proficient in statistical analysis to drive decisions.
- Build and verify hypothesis based on abstract problem statement.
- Practical experience with Databricks for writing and deploying code through jobs and pipelines.
- Proficiency in SQL for data science related assignments.
- Experience on building and deploying pipelines in Microsoft azure.
- Design and implement Generative AI solutions utilizing LLMs such as GPT, Claude, LLaMA, etc
- Proficiency in Python and libraries such as LangChain, Transformers, OpenAI SDK, or Hugging Face.
- Deep understanding of LLMs, prompt engineering, and transformer architectures.
- Educational background in Math / Statistics / Engineering / Science.
- Strong communication and teamwork abilities, with the ability to convey complex technical concepts to non-technical stakeholders.
Nuestro compromiso con una cultura de inclusin y pertenencia
Ecolab est comprometido con el trato justo e igualitario de todas las personas colaboradoras y postulantes, y con la promocin 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 desempeo laboral, en todos los aspectos relacionados con el empleo, la compensacin, los beneficios, las condiciones laborales y las oportunidades de crecimiento. Ecolab no discriminar a ninguna persona colaboradora ni postulante por motivos de raza, religin, color, credo, nacionalidad, estado de ciudadana, sexo, orientacin sexual, identidad y expresin de gnero, informacin gentica, estado civil, edad o discapacidad.
