Alcon is hiring for a fresher entry level Data Scientist role in India

Position:

Alcon is a global leader in the eye care industry, dedicated to improving vision and enhancing the quality of life for people around the world.
The company focuses on research, innovation, and the development of high-quality products that cater to a wide range of eye care needs.
Established in 1945, Alcon has grown into a multinational corporation with operations in over 180 countries, ensuring that people from all economic backgrounds have access to essential eye care solutions.
Alcon specializes in both surgical and vision care products, offering advanced equipment for procedures like cataract removal and laser vision correction.
The company also provides an array of consumer products, including the widely recognized Opti-Free line of contact lens solutions.
By investing heavily in technological advancements and product development, Alcon continues to lead the industry in vision care innovation.
The company fosters an inclusive work environment, ensuring equal opportunities for employees across all levels.
Alcon is committed to sustainability, ethical business practices, and corporate social responsibility, actively contributing to various initiatives that support community eye health programs worldwide.

The Data Scientist role at Alcon focuses on leveraging artificial intelligence (AI) and machine learning (ML) to enhance decision-making, automate manual processes, and drive business transformation.
The candidate will develop and implement custom data models and advanced algorithms to optimize various business functions.
Responsibilities include analyzing large datasets to extract insights that improve customer experiences, enhance revenue generation, and refine advertising strategies.
The role also involves working on predictive modeling techniques to improve product development, manufacturing processes, and business operations.
A significant portion of the work will involve modernizing data interfaces and integrating company databases with AWS data lakes.
The candidate will support the IT Quality team by developing and enhancing Tableau dashboards for data visualization and performance monitoring.
Over time, the Data Scientist will also be responsible for designing data pipelines that facilitate the transfer of on-premises manufacturing data to a centralized data warehouse.
The position requires collaboration with various business and IT stakeholders to identify data-driven opportunities for business growth.
The ideal candidate should have a strong background in AI, machine learning, data analysis, and cloud-based technologies, with the ability to translate technical requirements into practical solutions.

Build AI-powered solutions to streamline decision-making processes and automate repetitive tasks.
Design and develop customized data models, machine learning algorithms, and advanced analytics to derive meaningful insights.
Implement predictive modeling techniques to improve customer engagement, revenue streams, and targeted advertising.
Extract, clean, and analyze large datasets from multiple sources to optimize business strategies.
Enhance product safety and quality by developing AI-driven safety assessment models.
Drive innovation by integrating AI capabilities into existing systems to support business transformation.

Assist in the transformation of existing databases by integrating them with AWS data lakes.
Upgrade data processing interfaces to support various business functions, such as Quality Management Systems and Manufacturing Execution Systems.
Collaborate with engineering teams to ensure seamless data integration across multiple platforms.

Develop and maintain Tableau dashboards to track real-time performance metrics.
Utilize analytics tools like Tableau and Amazon QuickSight to monitor and enhance data accuracy.
Document and troubleshoot any data discrepancies or issues identified during analysis.
Participate in ongoing improvements to extend data management and analytics capabilities within the organization.

Collect and process large volumes of data from global manufacturing plants.
Architect, develop, and maintain robust data pipelines for efficient data storage and retrieval.
Support the transition of traditional data storage methods to advanced cloud-based systems.
Identify and resolve potential bottlenecks in data flow processes.

Work closely with IT and business teams to identify opportunities for data-driven innovation.
Participate in project design reviews and contribute technical insights.
Ensure compliance with security standards and best practices in all data management tasks.
Provide detailed documentation of technical requirements, application specifications, and system designs.
Follow Agile methodologies to streamline project execution and deliver high-quality solutions.

Educational Background:
- Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field.
Technical Skills:
- Proficiency in programming languages such as Python, R, or Java.
- Strong expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn.
- Experience in working with large datasets and applying statistical analysis techniques.
- Knowledge of SQL and NoSQL databases for efficient data retrieval and storage.
- Hands-on experience with data visualization tools such as Tableau and QuickSight.
- Familiarity with AWS services, including S3, Redshift, and Data Lake solutions.
Soft Skills:
- Strong analytical and problem-solving skills.
- Excellent communication and presentation abilities.
- Ability to collaborate effectively with cross-functional teams.
- Attention to detail and a proactive approach to problem-solving.
Experience:
- Prior experience in a similar role is preferred but not mandatory.
- Understanding of Agile methodologies and software development life cycles.

Equal Opportunity Employer:
- Alcon is committed to diversity, equity, and inclusion.
- The company ensures fair recruitment, training, and promotion opportunities regardless of race, gender, religion, or other factors.
Career Growth & Development:
- Employees are provided with opportunities for professional growth through mentorship and training programs.
- The company supports continuous learning initiatives to keep employees updated with industry trends.
Work Culture & Environment:
- Alcon fosters a collaborative work environment that encourages innovation and creativity.
- Employees are encouraged to take part in knowledge-sharing sessions and innovation projects.
Corporate Social Responsibility:
- The company actively participates in global initiatives to improve eye health accessibility.
- Employees have the opportunity to contribute to community-driven healthcare programs.
Application Process:
- Interested candidates can apply online through Alcon’s official career portal.
- Internal employees are encouraged to apply via the internal career site.
- The application deadline is March 27, 2025.