Sr. Data Scientist
5 days ago
Company Description
XpertLadr is an IT consulting firm specializing in delivering smart technology solutions to businesses. Our skilled team of software engineers, architects, and analysts focuses on addressing IT challenges, enabling clients to concentrate on their core strengths. Headquartered in Hyderabad, our team brings over 20 years of industry experience to help organizations achieve their business goals through cutting-edge technologies. Our services encompass IT Infrastructure, QA Automation, DevOps, and Agile processes, ensuring 100% client satisfaction and measurable ROI.
Role Description:
Sr. Data Scientist -
Remote ; Total exp: 6+ years
Key responsibilities :
AI/ML Development
- Build, deploy, and manage end-to-end ML models (churn, attribution, escalation, renewals, etc.).
- Perform feature engineering, model selection, training, evaluation, deployment, and monitoring.
- Work on generative AI initiatives optimizing and evaluating AI agents, LLMs, and conversational systems.
Business & Strategy
- Partner with GTM, GCS, Product, and Finance teams to convert business challenges into data science solutions.
- Present insights, recommendations, and model outcomes in a clear, actionable manner.
Data Engineering Collaboration
- Work closely with data engineering teams to develop clean, scalable datasets for analytics and ML.
- Support both batch and real-time data workflows.
Required Experience
- 7+ years in data science with hands-on ML model development and deployment.
- Strong expertise in Python and ML frameworks (Scikit-learn, TensorFlow/PyTorch, XGBoost).
- Strong SQL and experience with feature engineering and analytical datasets.
- Experience working on
Google Cloud (BigQuery, Vertex AI)
. - Experience with Tableau/Looker or similar BI tools.
- Ability to work independently and deliver full-cycle ML solutions.
Preferred Qualifications
- Experience with generative AI, LLMs, LangChain/LlamaIndex/HuggingFace.
- Background in customer analytics (risk, churn, escalation, renewals).
- Knowledge of causal inference or time-series modelling.
Interested candidates can share resume on below mail ID.
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