Job Description
Role & responsibilities
We are looking for Data Scientist position permanent position with US MNC for Remote.
Job Posting Title: Data Scientist
What does a Data Scientist do?
As a data scientist, you will be responsible for analyzing and interpreting complex data
sets to identify patterns and insights. You will be developing data models and algorithms to
support the project needs. Implement data validation strategies to ensure high data quality.
Collaborate with AI/ML engineers to integrate data models into the conversion engine system.
Present findings and recommendations to stakeholders and management.
Not being afraid to fail fast is one of the essential tools an NL Data Scientist can have in the
cutting-edge technology market.
What you will do:
- Develop AI-Driven Data Conversion Application: Utilize AI technologies to develop a
comprehensive data conversion application.
- Data Mapping: Implement AI algorithms for accurate data mapping from source to
target.
- Code Generation: Automate code generation using AI models.
- Data Validation: Apply AI-driven validation techniques to ensure data integrity and
quality.
- Code Conversion: Facilitate seamless code conversion using AI algorithms.
- Collaboration: Work with data engineers, software developers, AI solution engineers,
and business analysts to integrate the data conversion application.
- Monitor and Troubleshoot: Continuously monitor and troubleshoot the AI-driven
application to ensure optimal functionality.
- Documentation: Maintain detailed documentation of methodologies and processes
used in the application development.
- Stay Updated with Technologies: Keep up-to-date with the latest AI, data science, and
data conversion technologies to enhance the application.
What you will need to have:
- Bachelors or Masters Degree in Data Science, Computer Science, Artificial Intelligence,
or a related field.
- Proficiency in Programming Languages such as Python, SQL, and other relevant
languages.
- Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar.
- Knowledge of Data Mapping Techniques: Experience with AI-driven tools and
methodologies for data mapping. Strong Code Generation Skills: Experience in developing AI models for automating code
generation.
- Experience with Data Validation: Implementing AI-based validation techniques.
- Familiarity with Code Conversion: Understanding AI algorithms for code conversion.
- Experience with Databases like SQL Server and MongoDB.
- Collaboration Skills: Ability to work effectively with cross-functional teams.
- Problem-Solving Skills: Strong ability to identify issues and develop creative solutions.
- Attention to Detail: Ensure accuracy and reliability of data conversions.
- 5+ Years of Relevant Experience in data science or a related field.
- Willingness to Fail Fast and learn from mistakes in the fast-paced technology market.
Preferred qualifications for consideration:
- Experience in the Financial Services Industry and an understanding of compliance
standards.
- Certification in Data Science or AI/ML.
- Experience with Master data management, Data Wrangling and ETL Processes.
- Familiarity with DevOps Tools like Jira, Confluence, and BitBucket.
- Experience with data and AI/ML Technologies: Such as NLP/NLU, Azure Cognitive
Services, Azure Synapse Analytics, Azure data bricks and Azure ML service.
- Previous Experience Delivering AI Solutions for complex data or conversions: Seamless
Data Schema Conversion, AI-Driven Data Validation for Migration Accuracy, Intelligent
Code Generation for Data Transformation Scripts , Historical Data Transformation and
Archiving, Intelligent Error Detection and Correction, AI-Augmented Data Reconciliation
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Software Development - Other
Employement Type: Full time
Contact Details:
Company: Tanisha Systems
Location(s): Pune
Keyskills:
Generative Ai
RAG
LLM
Prompt Engineering
Azure
Langchain
GCP
AWS
Python
SQL
agents