Data Scientist

Job Description

Experience in OIL and GAS , Finance

Day to Day Operations

Deliver high-quality AI models across a broad spectrum of numeric and text analytics

Understand the practical scope of the AI models within the products

Use modeling techniques which include data acquisition from diverse sources, data exploration, feature engineering, evaluating algorithms /architectures and deploying the models iteratively to improve the final solution.

Identify valuable data sources and automate collection processes

Undertake preprocessing of structured and unstructured data

Build and finetune models

Propose solutions and strategies to business challenges

Collaborate with Engineering and DevOps teams for deployment

Contribute to the team's research activities

Ai/ML

Build & maintain pipelines

Develop and integrate algorithms/packages into the platform

Add new ML models to the SAAL platform marketplace

Develop customer-centric AI/GenAI solutions

Work closely with Product, Support, and Success teams to understand customer needs and contribute to the successful roll-out of the tools into trials and general availability

Communication

Utilizes state-of-the-art, best-in-class tools, techniques and methods to deliver technical presentations to peers, leadership team, sales executives, clients, prospects, etc.

Works collaboratively with various internal stakeholders to bring in synergies to the solution architecture, implementation plan, optimized delivery model and costing.

Related Assignments

Perform other related duties or assignments as directed.

Minimum Qualifications:

Bachelor's Degree in Artificial Intelligence, Business Analytics, Data Science, Computer Science, Mathematics, Engineering or related field

Certifications in any technology streams are preferred

Minimum Experience:

Minimum 4-6 years or more experience in similar field

Job-Specific Skills:

Demonstrable experience in theory and applied areas of Machine Learning/ Deep Learning

Experience in developing pipelines for both structured and unstructured data

Working knowledge in applied NLP (Offline LLM utilization is a plus)

Practice with Deep Learning libraries e.g., Tensorflow, PyTorch

Seasoned programming skills in Python, Java, R

Good experience in RESTifying APIs and Dockerization

Extensive Practice in writing good code using suitable data structures

Excellent communication skills

Broad experience working with Educational/ Finance data sets are encouraged

Self-motivation and the appetite to build novel solutions or algorithms

Language: French is plus