About the role
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.
Skills & Tags
Aplyr's read
Ecolab excels in providing essential water, hygiene, and energy solutions, attracting professionals committed to sustainability and innovation in environmental services.
What's promising
- •Ecolab leads in sustainable water and hygiene solutions, crucial for environmental safety.
- •The company offers diverse roles, from technical to managerial, supporting career growth.
- •Strong global presence ensures stability and opportunities for international work experience.
What to watch
- •Ecolab's work can involve high-pressure environments due to client demands.
- •Limited public information about internal career progression and employee satisfaction.
- •The company faces challenges in balancing rapid growth with maintaining service quality.
Why Ecolab
- •Ecolab integrates advanced technology with environmental services, setting it apart in the industry.
- •Its focus on sustainability directly impacts global ecological health.
- •The company's extensive client base spans multiple industries, offering varied professional experiences.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Ecolab
Ecolab is a global leader in water, hygiene, and energy technologies and services, providing comprehensive solutions to help businesses maintain clean and safe environments.
