Data Science Innovation Lead
1 week ago
Job Title: Data Science Innovation Lead
Estimated Salary: $180,000 - $250,000 per annum.
Location: Hyderabad
We are seeking a highly skilled Data Science Innovation Lead to join our team at Clean Harbors in Hyderabad. As a key member of our data science team, you will be responsible for driving innovation and strategic growth through the application of advanced analytics and machine learning techniques.
Key Responsibilities:
- Thought Leadership: Provide strategic insight and clear communication on Data Science and execution for complex problems.
- Data-Driven Solutions: 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.
- Azure Expertise: Develop and implement sophisticated AI models to solve complex business problems using Microsoft Azure.
- Team Leadership: Lead a talented team of data scientists working in multiple regions, fostering a collaborative environment that encourages innovation and professional growth.
- Cross-Functional Collaboration: Work closely with cross-functional teams to understand their needs and challenges, leveraging your expertise to provide data-driven AI solutions that address these issues.
- Communication: Present insights in a clear and concise manner to stakeholders.
About Us: Clean Harbors is a leading environmental, energy and industrial services company, committed to helping its customers succeed through sustainability and innovation. We strive to create an inclusive culture where every individual can contribute to our mission and grow professionally.
Requirements:
- A master's degree in computer science, Statistics, Mathematics, or a related field is required.
- 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.
- Experience with Microsoft Azure and its suite of data science tools.
- Proficiency in Python or R for data analysis and machine learning.
- Experience with SQL, NoSQL databases, and Data Fabric architectures.
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