Why Join Iris?
Are you ready to do the best work of your career at one of
India’s Top 25 Best Workplaces in IT industry? Do you want to grow in an award-winning culture that
truly values your talent and ambitions?
Join Iris Software — one of the
fastest-growing IT services companies — where
you own and shape your success story.
About Us
At Iris Software, our vision is to be our client’s most trusted technology partner, and the first choice for the industry’s top professionals to realize their full potential.
With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.
Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.
Working with Us
At Iris, every role is more than a job — it’s a launchpad for growth.
Our Employee Value Proposition, “Build Your Future. Own Your Journey.” reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it.
We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best — both personally and professionally.
Curious what it’s like to work at Iris? Head to this video for an inside look at the people, the passion, and the possibilities. Watch it here.
POSITION SUMMARY :
The Data Scientist position is responsible for defining, planning and managing data analysis initiatives that applies data science principles and technology to develop innovative, high-quality technology solutions to solve complex operational problems and process challenges. The Data Scientist identifies opportunities through the use of statistical, algorithmic, mining and visualization techniques. The role requires advanced analytical skills and proficiency at integrating and preparing large, varied datasets, architecting specialized data structures and computing environments, and effectively communicating results. The Data Scientist works closely with application and database teams, along with business and operational subject matter experts.
PRIMARY RESPONSIBILITIES :
- Lead and mentor staff and provide learning and development opportunities by sharing Subject Matter Expertise
- Designs experiments, test hypotheses and build models for the assigned operational problems.
- Conducts advanced data analysis and complex design algorithms to discover patterns.
- Work with stakeholders to identify business requirements and expected outcomes.
- Models and frames business scenarios that are meaningful and which impact critical business processes and/or decisions.
- Collaborates with subject matter experts, across all areas to select the relevant sources of information.
- Works with IT teams to support data collection, integration and retention requirements based on input collected with the business.
- Works in iterative processes, at times using experimental design approaches to validate findings.
- Assesses, with the business, the expected qualification and assurance of the information in support of the use case(s).
- Defines the validity of the information, how long the information is meaningful and other information it is related to.
- Recommends ongoing improvements to methods and algorithms that lead to findings, including new information or data external to the organization that may be useful.
- Identifies and analyzes patterns in the data, including the type of data and speed of sudden variations in the data collection.
- Provides business metrics for assigned projects to show improvements.
- Provides on-going tracking and monitoring of performance of decision systems and models.
- Troubleshoots and implements enhancements and fixes to systems as needed.
- Demonstrates data scientist qualities, including clarity, accuracy, precision, relevance, depth, breath, logic, significance and fairness.
- Adhere to ethical standards and comply with the laws and regulations applicable to your job function
KNOWLEDGE/SKILLS :
- Knowledge of various kinds of databases and how they are structured, built and maintained.
- Excellent Business Analysis skills.
- Knowledge and ability to evaluate performance metrics
- Strong tactical and analytical skills at the corporate level
- Experience with machine learning techniques and algorithms
- Experience with Data Warehouse implementations and ETL skills
- Ability to work with complex data sources, technical concepts and business problems effectively
- Must be proficient in query languages such as SQL.
- Ability to work effectively as member of a team and also independently to achieve business goals
Required :
- 5-7 years of related experience in IT, research, business or a related field
- 5-7 years of experience in IT technologies, trends, and analysis
- Previous experience in Data Warehouse and Data Analytics is preferred
- Excellent written and verbal communication skills
Data Science and Machine Learning - Data Science and Machine Learning - Azure ML
Data Science and Machine Learning - Data Science and Machine Learning - AI/ML
Data Science and Machine Learning - Data Science and Machine Learning - Pytorch
Artificial Intelligence - AI Tools - TensorFlow
Data Science and Machine Learning - Data Science and Machine Learning - NLP (Natural language processing)
Beh - Communication and collaboration
Perks and Benefits for Irisians
Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click here to view the benefits.
