Data Insights Architect

Are you looking for a challenging and rewarding role in the field of data science? We are seeking a skilled Data Scientist to join our global delivery team's Data Engineering & Analytics practice.

The Data Scientist will be part of our Data Engineering & Analytics practice and will be focused on delivering best of breed solutions to our clients leveraging Advanced Analytics & Machine Learning tools and techniques. The candidate will also be part of the practice team and contribute to Competency development, driving innovation through various internal initiatives within the company.

Responsibilities include:

• Working with clients to deliver data insights using AI, ML and Advanced analytics techniques
• Architecting, building and deploying scalable Machine Learning models both on premise and on cloud platforms
• Collaborating with business stakeholders to identify problem statements, checking availability of data and identifying appropriate solutions to provide insights to address the problems and deliver better outcomes
• Working closely with data engineering teams to source and ingest data into data lakes
• Proposing solutions to translate semi-structured and unstructured data into structured data formats to provide better insights
• Collaborating with S&D leadership to propose and execute ML POCs to deliver quick wins for the clients
• Providing mentorship to junior resources within the data scientist community

To be successful in this role, candidates should have:

• 6+ years of experience working in Business Intelligence, Analytics and Machine Learning
• Extensive hands-on experience analyzing data with SQL
• Experience in data mining of large data sets using tools like SAS/R/Python to identify patterns
• Experience in using tools like Alteryx or Python libraries like Pandas for preprocessing and cleaning data
• Experience using BI tools like Tableau or PowerBI for self-service analysis and visualization of data
• Document processing using OCR conversion techniques
• Collaborating with data engineering teams to ingest unstructured and semi-structured data into data lakes
• Identifying data sets, attributes and patterns to propose appropriate ML approach for a given problem
• Strong fundamentals in statistics and its application for building and validating ML models
• Understanding of Supervised, Unsupervised and Reinforcement learning approaches
• Strong experience in using Regression/Classification/Clustering algorithms and their application for appropriate use cases
• Building models using R, Python or Cloud native ML offerings from AWS/AZURE and GCP platforms
• Deploying ML models at scale using tools like TensorFlow Serving, Sagemaker, Torchserve

We offer an excellent compensation and benefits package to all employees.

We are a global technology consulting company that empowers our clients to gain a competitive edge by accelerating business outcomes and providing strategy and execution capabilities around digital, analytics and cloud solutions.

We have established our leadership position by solving some of the world's largest and most complex data engineering and analytical problems in the healthcare, financial, telecommunications, consumer products and high technology industries.

We are committed to transforming the world through the innovative use of information.

We were recognized by Inc. 5000 and by Crain's publications as one of the fastest growing privately held companies in the world.

We have expanded our operations in the Americas, Asia and Africa and have been recognized by publications such as the CIO Review, Industry Era, Insight Success and the CIO Bulletin for our innovation in IT Services, Telecommunications and Healthcare industries and entrepreneurship.