About Company
Ecolab is a global leader in water, hygiene, and infection prevention solutions and services. Every day, we help make the world cleaner, safer, and healthier – protecting people and vital resources. With annual sales of $14 billion and more than 48,000 associates, Ecolab delivers comprehensive solutions, data-driven insights, and personalized service to advance food safety, maintain clean environments, optimize water and energy use, and improve operational efficiencies for customers in over 170 countries. Our innovative solutions touch millions of lives, from ensuring safe food and beverages to promoting clean hospitals and providing reliable energy. We are committed to fostering a culture of innovation, continuous learning, and diversity, where every associate can thrive and contribute to our mission.
Job Description
Are you a curious and innovative Data Scientist with a passion for transforming complex data into actionable insights? Ecolab is seeking a highly motivated and talented Remote Data Scientist to join our dynamic team. In this role, you will be instrumental in leveraging cutting-edge machine learning techniques and statistical modeling to solve challenging business problems across various domains, including supply chain optimization, customer experience enhancement, and operational efficiency. You will work with diverse datasets, develop predictive models, and create compelling visualizations to communicate findings to stakeholders at all levels. This is a unique opportunity to contribute to high-impact projects that drive significant value for a global leader committed to sustainability and innovation. While this position is remote, you will be an integral part of our collaborative data science community, participating in virtual team meetings, code reviews, and knowledge-sharing sessions. We value creativity, problem-solving prowess, and a proactive approach to discovering new opportunities within our vast data landscape. If you are passionate about data-driven decision-making and thrive in an environment where your contributions directly impact business outcomes and global sustainability, we encourage you to apply.
Key Responsibilities
- Develop, validate, and deploy advanced machine learning models and statistical algorithms to address key business challenges.
- Perform extensive data exploration, cleansing, and feature engineering to prepare data for modeling.
- Collaborate with cross-functional teams, including product management, engineering, and business stakeholders, to define problem statements and deliver data-driven solutions.
- Communicate complex analytical findings and recommendations clearly and concisely to non-technical audiences.
- Design and implement A/B tests and other experimental designs to measure the impact of implemented solutions.
- Monitor model performance, identify potential issues, and continuously refine models to improve accuracy and robustness.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, and advocate for their adoption where appropriate.
- Contribute to the development of best practices, tools, and processes for data science within the organization.
Required Skills
- Master’s degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Engineering, Mathematics, Economics) or equivalent practical experience.
- 3+ years of professional experience in data science or a related analytical role.
- Proficiency in programming languages such as Python (Pandas, NumPy, Scikit-learn) and/or R.
- Strong understanding of statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, time series), and experimental design.
- Expertise in SQL for data extraction and manipulation.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- Excellent problem-solving skills and the ability to work independently and collaboratively in a remote team environment.
- Demonstrated ability to communicate complex technical concepts effectively to both technical and non-technical audiences.
Preferred Qualifications
- Ph.D. in a quantitative field.
- Experience with cloud platforms such as AWS, Azure, or GCP, particularly with services relevant to data science (e.g., SageMaker, Azure ML, Google AI Platform).
- Familiarity with big data technologies (e.g., Spark, Hadoop).
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Domain knowledge in manufacturing, supply chain, consumer goods, or chemical industries.
- Track record of deploying models into production environments and monitoring their performance.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance plans.
- Flexible paid time off (PTO) and company holidays.
- 401(k) retirement plan with company matching contributions.
- Remote work flexibility with a focus on work-life balance.
- Opportunities for professional development, training, and continuous learning.
- Access to a global network of experts and cutting-edge resources.
- Employee assistance program and wellness initiatives.
- A vibrant, inclusive culture where your contributions are valued.
How to Apply
Interested candidates are encouraged to apply by clicking the link below. Please ensure your resume highlights your relevant experience and skills. We look forward to reviewing your application!