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:
- 8+ years hands-on work experience in the domain of data science & analytics (work experience in IT, software engineering, data engineering or any other areas is to be treated as ‘extra’ and optional).
- Proficient in AI/ML algorithms 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 SQL (programming languages) 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, and LLaMA.
- Fine-tune and evaluate Large Language Models for industry-specific tasks.
- 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.
Top Skills
What We Do
A trusted partner at nearly three million customer locations, Ecolab (ECL) is the global leader in water, hygiene and infection prevention solutions and services. With annual sales of $12 billion and more than 44,000 associates, Ecolab delivers comprehensive solutions, data-driven insights and personalized service to advance food safety, maintain clean and safe environments, optimize water and energy use, and improve operational efficiencies and sustainability for customers in the food, healthcare, hospitality and industrial markets in more than 170 countries around the world.
For more Ecolab news and information, visit www.ecolab.com, or follow us on twitter.com/ecolab, facebook.com/ecolab or instagram.com/ecolab_inc.
