Senior Manager - Data Science

• Identify opportunities which add value to the business and make the process more efficient.
• Have the ability to work with colleagues and stakeholders across levels, understand business objectives and make sure all analysis and findings are aligned to those business objectives.
• Invest in understanding the core business including products, process, documents, and data points with the objective of identifying efficiency and value addition opportunities.
• Gather, analyze, and model data using analytical tools and techniques to develop business insights to drive decisions
• Design, develop, and maintain robust data pipelines for extracting, transforming, and loading ETL data from diverse sources.
• Automate data extraction, transformation, and loading ETL from various sources, including PDFs and APIs.
• As the operational scales up design and implement scalable data storage solutions and integrate them with existing systems.
• Develop scripts and applications to extract and process data from PDF documents using Python.
• Collaborate with data scientists and analysts to optimize data workflows and improve data accessibility.
• Write efficient, reusable, and testable code to support data processing needs.
• Utilize cloud platforms (AWS, Azure, Google Cloud) for data storage and processing.
• Perform data extraction from multiple data sources and ensure data integrity and accuracy.
• Utilize AI/ML models and tools, including Large Language Models (LLM) and Generative AI, to enhance data processing capabilities.
• Design scalable and reliable system architectures to support data-intensive applications.
• Implement and maintain security and data protection solutions.
• Conduct code reviews and provide mentorship to junior developers.
• Stay up-to-date with the latest technology trends and best practices in data engineering and cloud services.
• Develop dynamic dashboards that provide insights and visualization into performance relative to KPIs, projections, and historical performance.
• Use technical skills to gather and work with large volumes of data using the most suitable technology.
• Institutionalize data quality check mechanisms in the data gathering and analysis phases.
• Develop scalable solutions for automations of reports.
• Ability to lead initiatives and deliver results by engaging with cross-functional teams and resolving data ambiguity issues.
• Be responsible for the professional development of your projects and institute a succession plan.

• Bachelors degree in Engineering, Analytics, or a related field, MBA, Computer Applications, IT, Business Analytics, or any discipline.
• Proven experience of 8-12 years in Python development
• Proven experience with data automation and building data pipelines.
• Proven track record in building and maintaining data pipelines and ETL processes.
• Hands-on experience with AI/ML models and tools.
• Strong knowledge of Python libraries such as Pandas, NumPy, and PySpark, Camelot.
• Experience with cloud platforms (AWS, Azure, Google Cloud) and their data services.
• Proficiency in extracting data from various sources, including APIs and PDFs.
• Familiarity with database management systems (SQL and NoSQL databases).
• Experience in designing and implementing system architecture.
• Ability to operate in a multi layered technology architecture and shape the technology maturity of the organization.
• Solid understanding of software development best practices, including version control Git, code reviews, and testing frameworks PyTest, UnitTest.
• Strong attention to detail and ability to work with complex data sets.
• Effective communication skills to present findings and insights to both technical and non-technical stakeholders. Specify superior listening, verbal and written communication skills
• Excellent project management and organization skills
• Superlative stakeholder management skills - ability to positively influence stakeholders.
• Synthesis skills- Ability to connect the dots and answer the business question.
• Excellent problem-solving, structuring and critical-thinking skills.
• Ability to work independently and collaboratively in a fast-paced environment

• Minimum 12 months experience as Manager (D2) / Senior Manager(E)
• Should have at least On-Track or equivalent rating in last appraisal.
• Should not be under any Performance Counselling Plan or had any official disciplinary action within the last 3 months.
• Should not have applied for any other IJP in the last 3 months

• Candidates who wish to apply for inter-location positions are required to check with the Transport Help Desk THD to confirm if their place of residence is within the served transport service zone
• Mention your employee id and official email address in the resume

• Master's degree in Computer Science, Engineering, or related fields.
• Experience in working with large-scale data sets and real-time data processing.
• Familiarity with additional programming languages like Java, C++, or R.
• Strong problem-solving skills and ability to work in a fast-paced environment

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.