Sr Data Scientist

About The Company:

iLink Digital is a Global Software Solution Provider and Systems Integrator, delivers next-generation technology solutions to help clients solve complex business challenges, improve organizational effectiveness, increase business productivity, realize sustainable enterprise value and transform your business inside-out. iLink integrates software systems and develops custom applications, components, and frameworks on the latest platforms for IT departments, commercial accounts, application services providers (ASP) and independent software vendors (ISV). iLink solutions are used in a broad range of industries and functions, including healthcare, telecom, government, oil and gas, education, and life sciences. iLink’s expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, collaboration & Social Employee Engagement, Embedded Systems and User Experience design etc.

 

What makes iLink's offerings unique is the fact that we use pre-created frameworks, designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators), both industry-specific and horizontal, that can be easily customized and enhanced to meet your current business challenges.

Requirements

Job Summary:

The Senior Data Scientist is responsible for leading data-driven initiatives, developing predictive models, and extracting valuable insights from complex datasets. This role requires expertise in machine learning, statistical analysis, and big data technologies to solve business challenges and optimize processes.

Key Responsibilities:

• Develop and implement advanced analytics models and machine learning algorithms.
  
• Lead data-driven decision-making processes and provide strategic insights.
  
• Manage data science projects from conception to deployment.
  
• Ensure data quality, integrity, and security.
  
• Collaborate with cross-functional teams to understand business needs and devise solutions.
  
• Mentor junior data scientists and provide technical guidance.
  
• Present findings and visualizations to stakeholders in a clear and actionable manner.
  

Required Skills & Qualifications:

• Strong proficiency in Python, R, SQL, or other data science tools.
  
• Expertise in machine learning, deep learning, and statistical modeling.
  
• Experience with big data technologies such as Hadoop, Spark, or cloud platforms.
  
• Ability to translate complex data into actionable insights.
  
• Excellent communication and problem-solving skills.
  
• A degree in Computer Science, Data Science, Mathematics, or a related field.
  

Benefits

• Competitive salaries
  
• Medical Insurance
  
• Employee Referral Bonuses
  
• Performance Based Bonuses
  
• Flexible Work Options & Fun Culture
  
• Robust Learning & Development Programs
  
• In-House Technology Training