Data Science & Analytics Consultant
Who We Are
For 20 years, we have been working with organizations large and small to help solve business challenges through technology. We bring a unique combination of engineering and strategy to Make Data Work for organizations.
Our clients range from the travel and leisure industry to publishing, retail and banking. The common thread between our clients is their commitment to making data work as seen through their investment in those efforts.
In our quest to solve data challenges for our clients, we work with large enterprise, cloud based and marketing technology suites. We have a deep understanding of these solutions so we can help our clients make the most of their investment in an efficient way to have a data driven business.
Softcrylic now joins forces with Hexaware to Make Data Work in bigger ways!
Why Work at Softcrylic?
Softcrylic provides an engaging, team-focused, and rewarding work environment where people are excited about the work they do and passionate about delivering creative solutions to our clients.
Work Timing: 12:30PM to 9:30PM IST (Flexible in work timing).
Work Location: Chennai (Hybrid).
Note: We are looking for candidates who can start Immediately with max one-month notice period.
Job Description:
Skills Required:
- Independent problem solving on small/medium-scale projects
- Knowledge of advanced statistical methods and machine learning
- Able to work with large datasets in cloud environments
- Strong technical communicator who is comfortable troubleshooting very complex data problems in large data pipelines and communicating to a non-technical audience
- Strong SQL and Python skills
- Hands-on experience with Large Language Models (LLMs) implementation and Retrieval-Augmented Generation (RAG)-based AI agents
Experience Required:
- Extensive statistical training
- Experience in digital marketing or related field preferable
- Experience with UX analyses
- Experience with digital behaviour analytics
- Experience with AWS machine learning services
- Deep familiarity with employing different statistical performance measures and understanding the benefits/trade-offs of each
- Experience gathering requirements and presenting results to stakeholders
Nice to have:
- Tableau skills
- Experience with Airflow, Google Auto ML, and AWS SageMaker
- Familiarity with Azure services
