Senior Data Scientist

TrueID; Hyderabad; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

TrueID is seeking an experienced Data Scientist with 5–8 years of hands-on expertise to build scalable predictive analytics solutions and leverage Gen AI/AI/ML for client projects. You will develop data pipelines, and contribute to the productization team delivering robust analytics products for diverse clients.

Responsibilities include data extraction from multiple sources, model development, deployment, API development and ensuring governance and security across the analytics lifecycle.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• 5 to 8 years of hands-on experience in Data Science, Machine Learning, Predictive Analytics.
• Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Solid understanding of statistics, probability theory, hypothesis testing, regression analysis, sampling techniques, and experimental design.
• Experience with Generative AI technologies, Large Language Models (LLMs).
• Experience working with SQL and NoSQL databases, data warehouses, and big data technologies.
• Familiarity with cloud platforms such as AWS, and containerization technologies such as Docker and Kubernetes.
• Experience in building REST APIs and integrating AI models into production environments.
• Strong understanding of statistics, machine learning algorithms, forecasting techniques, and optimization methods.
• Excellent analytical, problem‑solving, and communication skills with the ability to work in cross‑functional teams.

Responsibilities

• Collaborate with business stakeholders, product managers, and engineering teams to translate business requirements into analytical solutions.
• Extract and integrate data from multiple sources through APIs, databases, and file-based interfaces.
• Analyze structured and unstructured data to identify trends, patterns, and actionable business insights.
• Perform data preprocessing, feature engineering, model development, deployment and model evaluation.
• Evaluate, fine‑tune, and optimize AI/ML models to improve accuracy, performance, scalability, and reliability.
• Develop APIs and services for model deployment and integration with enterprise systems.
• Ensure data quality, governance, security, and compliance throughout the analytics lifecycle.
• Stay current with emerging AI, GenAI, machine learning, and data science technologies and recommend their adoption where appropriate.

Skills

Python

ML/AI methods

Model deployment

Data analysis

SQL/NoSQL

Communication

Education

Bachelor's or Master's in CS/DS/Stats

Tools

Docker

Kubernetes

TensorFlow

PyTorch

REST APIs

AWS

Job description

Job Description

TrueID (www.trueid.in) is looking to hire a talented Data Scientist with 5 to 8 years of experience to join our team and develop high-impact, scalable predictive analytics solutions. You will leverage advanced Gen AI, AI/ML to build solutions, build data pipelines, and be part of the productization team responsible for delivering robust solutions for our clients.

Responsibilities

• Collaborate with business stakeholders, product managers, and engineering teams to translate business requirements into analytical solutions.
• Extract and integrate data from multiple sources through APIs, databases, and file-based interfaces.
• Analyze structured and unstructured data to identify trends, patterns, and actionable business insights.
• Perform data preprocessing, feature engineering, model development, deployment and model evaluation.
• Evaluate, fine‑tune, and optimize AI/ML models to improve accuracy, performance, scalability, and reliability.
• Develop APIs and services for model deployment and integration with enterprise systems.
• Ensure data quality, governance, security, and compliance throughout the analytics lifecycle.
• Stay current with emerging AI, GenAI, machine learning, and data science technologies and recommend their adoption where appropriate.

Experience & Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• 5 to 8 years of hands‑on experience in Data Science, Machine Learning, Predictive Analytics.
• Strong proficiency in Python, including experience with data manipulation, statistical analysis, machine learning, and model development using libraries such as Pandas, NumPy, Scikit‑learn, TensorFlow, PyTorch and related frameworks.
• Solid understanding of statistics, probability theory, hypothesis testing, regression analysis, sampling techniques, and experimental design to support data‑driven decision making.
• Apply statistical and machine learning techniques to analyze large datasets, identify patterns, build predictive models, and generate actionable business insights.
• Experience with Generative AI technologies, Large Language Models (LLMs).
• Experience working with SQL and NoSQL databases, data warehouses, and big data technologies.
• Familiarity with cloud platforms such as AWS, and containerization technologies such as Docker and Kubernetes.
• Experience in building REST APIs and integrating AI models into production environments.
• Strong understanding of statistics, machine learning algorithms, forecasting techniques, and optimization methods.
• Excellent analytical, problem‑solving, and communication skills with the ability to work in cross‑functional teams.

Preferred Qualifications

• Experience using graph technologies such as Neo4j and graph data modeling for fraud detection, relationship analysis, or customer intelligence.
• Familiarity with data governance, and data quality frameworks.
• Exposure to statistical methods and techniques for entity matching and identity resolution.

We are looking for only immediate joiners

Interested candidates can send your resume to [e-mail]