Lead Analyst driving AI - enabled data capabilities across RCM organization in Hyderabad. Collaborating with interdisciplinary teams for machine learning model development and actionable insights.
About the role
- Journeyman Data Scientist supporting DoD enterprise data and analytics program, collaborating with teams to deliver scalable, production-ready solutions and enhancing data-driven decision-making.
Responsibilities
- Develop and apply statistical models and machine learning algorithms to analyze structured and unstructured data.
- Perform data exploration, feature engineering, and data preprocessing to support analytics and model development.
- Support development and validation of predictive and descriptive analytics models.
- Collaborate with data engineers to ensure availability and quality of data for analytics workflows.
- Assist in integrating models into production environments through APIs and DevSecOps pipelines.
- Develop visualizations, dashboards, and reports to communicate analytical findings.
- Support evaluation of model performance, including accuracy, bias, and reliability.
- Assist in implementation of model monitoring and continuous improvement processes.
- Design and develop predictive models and data-driven analytical frameworks that optimize processes and support informed decision-making.
- Build models that forecast future demands, highlight operational and service-related risks, and detect performance anomalies in real time.
- Collaborate with cross-functional teams including AI/ML engineers, software developers, and domain stakeholders.
- Ensure responsible AI practices including bias detection, explainability, and performance monitoring.
- Translate complex analytical findings into actionable insights for technical and executive stakeholders.
- Develop and maintain documentation, evaluation metrics, and model performance dashboards.
- Document analytical methodologies, models, and results.
- Participate in SAFe ceremonies including sprint planning, backlog refinement, sprint reviews, and retrospectives.
Requirements
- Active Top Secret (TS) clearance with SCI eligibility.
- Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or related technical discipline and 4–8 years of relevant experience OR Master’s degree in a related field and 2–6 years of relevant experience.
- Minimum of 4 years of experience in data science, data engineering, or a related field.
- Experience applying statistical analysis and machine learning techniques.
- Experience using programming languages such as Python, SQL, R or similar analytical programming languages.
- Experience working with data analysis and ML libraries (e.g., Pandas, Scikit-learn, or similar).
- Experience performing data exploration, feature engineering, and model validation.
- Proven experience in designing and developing predictive models and data-driven analytical frameworks.
- Knowledge of data security policies, including data encryption and access controls.
- Experience with data governance frameworks and compliance enforcement.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
Benefits
- competitive compensation
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
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