Data Scientist

6 days ago

Hyderabad, Telangana, India TrueID Full time
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 ( is looking to hire a talented Data Scientist with 3+ years of experience to join our team and develop high-impact, scalable forecasting and predictive analytics solutions. You will leverage advanced AI/ML models, build data pipelines, and be part of the productization team responsible for delivering robust solutions for our SaaS platform serving B2B clients.
## Responsibilities

• Design, develop, and validate time series forecasting and predictive analytics models (Classical, Machine Learning and Neural Network based models)

• Analyse and integrate diverse datasets from internal and external sources, including APIs and web-scraped data.

• Engineer features, perform data cleaning, and build robust data pipelines.

• Work within the productization team to deploy models as APIs and integrate them into our SaaS product.

• Implement and monitor model accuracy, retraining, and drift detection pipelines.

• Build cost-benefit analysis models, scenario simulation tools, and recommendation engines.

• Apply NLP and GenAI techniques to analyze unstructured data and extract actionable insights.

• Generate reports and insights for business stakeholders.

• Contribute to technical documentation and knowledge

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