Data Scientist

T

TrueID is at the forefront of digital transformation in the realm of biometric-based identity management, emphasizing the pivotal role of digital identities in modern-day businesses such as fintech, banking, and e-commerce. Our team members are given exceptional opportunities to work on cutting-edge projects, pushing the boundaries of digital transformation in identity management in the banking, fintech domains and ecommerce domains.

At TrueID, we offer an inspiring work environment that fosters innovation and creativity, allowing team members to contribute to groundbreaking digital identity projects. All TrueID employees are engaged on overseas projects giving them exposure to diverse cultures and perspectives enhancing their professional growth in an increasingly digitalized world. TrueID's commitment to driving digital innovation has made the company a thought leader in shaping the future landscape of digital transformation to manage digital identities.

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 immediate joiners

Interested candidates can send your resume to [Confidential Information]