Data Scientist

Experience : 8+ Years

Location : Hyderabad

Work Mode : Hybrid 4 Days Work From Office

Notice Period : Immediate to 15 Days

About the Role :

Looking for an experienced Data Scientist to drive data science, advanced analytics, predictive modeling, and operational intelligence initiatives. The role will focus on building a robust metrics framework, developing dashboards and predictive models, detecting anomalies, and translating complex data insights into actionable business and engineering decisions.

Key Responsibilities :

- Define and build the metrics framework for the digital ordering pipeline, from order intake through result delivery.

- Design and deliver dashboards tracking order volume, throughput, turnaround times, error rates, and system stability across multiple integration points.

- Build predictive models to forecast order failures, volume trends, and capacity requirements.

- Develop automated anomaly detection mechanisms to identify pipeline issues before they escalate.

- Apply statistical techniques for root-cause analysis and diagnose why system failures occur.

- Partner with engineering teams to identify and address gaps in data collection and instrumentation.

- Analyze data from multiple systems and disparate sources to create a unified view.

- Investigate ad-hoc data requirements, production issues, incidents, and business-impact questions.

- Translate complex statistical and technical findings into clear insights for executive leadership, engineering management, and technical teams.

- Document metric definitions, model logic, data sources, and dashboard designs to enable independent maintenance and future enhancement.

Required Skills & Experience :

- 8+ years of experience in Data Science, Machine Learning Engineering, or Advanced Analytics roles.

- Strong foundation in statistics : Hypothesis testing, Regression, Time-series analysis, Bayesian methods.

- Advanced SQL skills with experience working across large, multi-source datasets.

- Strong proficiency in Python or R for analysis, modeling, and automation.

- Hands-on experience with ML/statistical libraries : Scikit-learn, Statsmodels, Pandas, NumPy, or equivalent.

- Experience with AWS data and ML services : Amazon SageMaker, Amazon Redshift, Amazon Athena, AWS Glue, Amazon QuickSight, or similar.

- Hands-on experience with Tableau.

- Proven experience defining metrics frameworks and building dashboards from scratch.

- Experience developing anomaly detection or predictive models in production or operational environments.

- Strong communication skills with the ability to present complex statistical findings to executives, engineering leaders, and technical teams.

Good to Have :

- Experience or familiarity with healthcare, diagnostics, or laboratory operations.

- Experience in operational analytics : Error tracking, SLA monitoring, System health metrics.

- Experience with real-time or streaming analytics (Amazon Kinesis, AWS Lambda).

Education :

- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

Why Join Neevsystems? :

- Work flexibility, work-life balance, variable pay, health insurance, and employee benefits.

- Opportunity to work on data science and operational analytics initiatives in a technology-driven environment.