Senior Data Scientist

Job Title : Senior Data : Hyderabad- (No Hybrid/ Work from Home : Masters degree in data science, Statistics, Computer Science, or related : 3 - 8 Years in data science, model validation, and applied machine learning and experience leading junior data Skills : AI/ML Python SQL ML Framework Snowflake AWS/Azure/GCP Customer 360 Churn Prediction GUI skills : Excellent communication skills with the ability to engage with international period : Max 30 daysWorking days : This is 5 days work from office role- (No Hybrid/ Work from Home Rounds : 2 Technical rounds (virtual) + Compensation Us :We help companies solve everyday business problems with innovative technology. Our goal is to make clients smarter, data-driven organizations where decisions are based on facts, leading to better processes and results. We bring together consulting expertise and modern technologies to manage data, reduce risks, and use AI and automation effectively. With strong experience from top consulting firms in business transformation and process improvement, we add real value to any operations strategy.Job Description :We are seeking a highly skilled Senior Data Scientist to join our digital transformation team. The ideal candidate will have hands-on experience with model development and a deep understanding of customer data ingestion, real-time data pipelines, and AI-driven marketing strategies. You will be responsible for leveraging advanced analytics and machine learning to enable data-driven decision-making and hyper-personalized marketing at scale. This role blends analytical rigor with innovative model building and maintenance, ensuring both operational excellence and strategic customer growth.Key Responsibilities :Model Development :- Design, build, and deploy machine learning models for segmentation, predictive analytics, prospect identification, targeting, personalization, Churn prediction & retention, campaign performance and other business use cases.- Contribute to building models for various use cases such as Revenue Management System, Customer 360, etc.- Apply statistical analysis and data visualization techniques to generate insights and communicate effectively to business stakeholders.- Translate model insights into actionable marketing strategies that enhance ROI and customer experience.- Collaborate with cross-functional teams including Martech, digital, and commercial teams to operationalize models into platforms and workflows.- Establish monitoring, retraining, and governance processes to ensure sustained model accuracy and business value.Deep QA Model Validation :- Validate existing models applying end-to-end QA checks before sign-off.- Assess data ingestion, schema integrity, feature engineering, and label quality for business alignment.- Evaluate model predictions, performance metrics, drift monitoring, downstream outputs, and GUI integration.- Document all findings, anomalies, and improvement opportunities.- Support development of dashboards and reports to track validation progress, outcomes, and risks.- Ensure every module is accurate, reliable, and business-aligned prior to Qualifications :- Masters degree in data science, Statistics, Computer Science, or related field.- 4 to 6 years of experience in data science, model validation, and applied machine learning.- Proven expertise in Python, SQL, and ML frameworks (scikit-learn, TensorFlow, PyTorch).- Experience with QA and drift monitoring frameworks for ML models.- Familiarity with big data platforms and cloud ecosystems such as Databricks, Spark, Strong communication skills to convey complex insights to both technical and business stakeholders.- Experience leading junior data scientists.- Detail-oriented with a structured approach to QA, documentation, reporting, and Join Us ?- Work on modern data architecture at scale using cutting-edge Azure technologies.- Collaborate with a dynamic and talented team of data professionals.- Grow your leadership skills through hands-on project ownership and mentorship.- Competitive compensation, flexible work options, and continuous learning culture (ref:hirist.tech)