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
