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

Position:

• Data Scientist

Company:

• Alcon

Location:

• Bangalore, India

Job Type:

• Full-time

Job Mode:

• On-site

Job Requisition ID:

• R-2025-38054

Years of Experience:

• Not specified; as per JD looks like a fresher entry level role; 0-3 years
  

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Company Description :

• 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.

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Profile Overview :

• 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.

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Key Responsibilities:

Machine Learning & AI Development:

• 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.

Data Integration & Modernization:

• 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.

Business Intelligence & Visualization:

• 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.

Data Pipeline & Warehouse Management:

• 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.

Project Collaboration & Stakeholder Engagement:

• 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.

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Qualifications :

• 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.

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Additional Information :

• 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.

Please click here to apply.

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