About Clean Harbors

Clean Harbors Inc. (www.cleanharbors.com) is a NYSE listed US based $6.5 billion company. Clean Harbors was founded in 1980 near Boston by Mr. Alan S. McKim, who today remains the company’s Chairman and CTO.

Everywhere industry meets environment, Clean Harbors is on-site, providing premier environmental, energy and industrial services. Clean Harbors employs a dedicated workforce of 22,000 employees and has over 450 service locations across the U.S., Canada and Mexico. Beyond addressing the environmental needs of its more than 300,000 customers, the Company has been on the front lines of addressing some of the largest emergency response events in North America of the past several decades including the BP Oil Spill in the Gulf of Mexico, the anthrax attacks in New York, the 2015 avian flu outbreak that devastated the poultry industry, Hurricanes Katrina, Rita and Sandy, and the oil pipeline breaks that affected the Yellowstone and Kalamazoo rivers, along with other major chemical releases into the environment.

Clean Harbors India has been strategically established as the Global Capability Center (GCC) to serve our parent company. We take pride in serving some of the most tech savvy business stakeholders at Clean Harbors. The GCC employees form part of our globally integrated teams that provide cutting-edge IT solutions and production support across platforms. Our shared services teams work seamlessly with their global counterparts in providing critical 24x7 support in various functions including Finance, HR, Procurement, IT and Operations. Our aggressive growth plans open significant career advancement opportunities for our employees.

Job Title: Lead Data Scientist

Experience: 10+ years as Azure Data Engineer

Location: Hyderabad

Working Hours: 12.00pm to 9.00pm

• Ensure that Health and Safety is the number one goal by following policies, processes, and always acting in a safe manner.
• Provide thought leadership, strategic insight, and clear communication on Data Science and execution for complex problems.
• Plan, coordinate, and oversee all technical aspects of our AI projects. Ensure that project goals align with the company’s objectives and meet the needs of our stakeholders.
• Design and implement data-driven solutions using Microsoft Azure’s tools and services, such as Azure Machine Learning, Azure Databricks, Azure Data Factory and Azure databases or Fabric implementation. Ensure these solutions are scalable, reliable, and secure.
• Develop and implement sophisticated AI models to solve complex business problems. Use these models to generate actionable insights that drive strategic decision-making.
• Lead a talented team of data scientists working in multiple regions. Foster a collaborative environment that encourages innovation and professional growth.
• Work closely with cross-functional teams to understand their needs and challenges. Leverage your expertise to provide data-driven AI solutions that address these issues.
• Leverage large volumes of data from various sources to extract meaningful insights. Present these insights in a clear and concise manner to stakeholders.
• Drive feedback loop for the models implemented in production using metrics to ensure our whole ML Ops pipeline is effective and continuously refreshed with the right data set and algorithms.
• Stay updated with the latest trends and advancements in data science, machine learning, GenAI space and cloud computing. 

• A master’s degree in computer science, Statistics, Mathematics, or a related field is required. A bachelor’s degree with significant relevant experience would suffice.
• 10+ years working in the IT industry with 8+ years of experience in data science, machine learning, or a related field. 
• 2+ years of experience in a leadership or management role preferred.
• Deep understanding of statistical models, machine learning algorithms, and big data technologies. 
• Proven experience in deploying machine learning models into production.
• Experience with Microsoft Azure and its suite of data science tools is crucial. This includes but is not limited to Azure Machine Learning, Azure Data Services, Azure Databricks, and Azure Synapse Analytics. 
• Proficiency in Python or R for data analysis and machine learning.
• Experience with SQL, NoSQL databases and Data Fabric architectures.
• Familiarity with big data technologies such as Hadoop and Spark
• Experience with machine learning frameworks like PyTorch, Tensorflow or Scikit-learn.
• Knowledge of deep learning and neural networks. Experience with utilizing GenAI LLMs in Python.
• Strong communication skills to effectively collaborate with team members and stakeholders.
• Ability to lead and mentor junior data scientists.
• Strong problem-solving skills and ability to think algorithmically.
• Ability to translate complex findings into a compelling  arrative for non-technical stakeholders.
• Certifications like Microsoft Certified: Azure Data Scientist Associate or Microsoft Certified:        Azure AI Engineer