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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

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.

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.

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.

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.

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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