14 Aug
|
Gyanindit
|
Hyderabad
14 Aug
Gyanindit
Hyderabad
Company Description Gyanindit Pvt. Ltd. is driven by the belief that knowledge and expertise can transform careers, organizations, and communities. Guided by the motto “Encouraging Empowerment,” the company focuses on delivering expert services that help individuals and teams achieve their goals.
Gyanindit’s vision is to equip people with the tools, insights, and support needed to succeed in a rapidly changing, technology-enabled world. Its mission centers on providing practical guidance, resources, and solutions that enhance professional growth, organizational performance, and innovation through technology.
? We’re Hiring: Data Scientist
? Location: Hyderabad
? Experience: 8+ Years (7+ Years relevant experience)
? CTC: Up to ₹30 LPA
? Work Mode: Hybrid – 4 Days WFO + 1 Day WFH
? Shift: 4:00 PM – 1:00 AM
⏳ Notice Period: Immediate to 15 Days
⚠️ Only candidates currently serving notice period will be considered.
? Hyderabad local candidates only – F2F interview after L1 Technical round.
? Role OverviewWe are looking for an experienced Data Scientist with strong expertise in statistical analysis, machine learning, advanced SQL, Python/R, AWS data & ML services, and Tableau. The role will focus on building metrics frameworks, predictive models, anomaly detection, dashboards, and operational analytics.
? Mandatory Skills
- 8+ years of experience in Data Science, ML Engineering, or Advanced Analytics
- 7+ years of relevant Data Science/ML experience
- Strong knowledge of Statistics, Hypothesis Testing, Regression, Time Series & Bayesian Methods
- Advanced SQL with experience handling large, multi-source datasets
- Solid proficiency in Python or R
- Hands-on experience with Pandas, NumPy, Scikit-learn, Statsmodels or similar
- Experience with AWS – SageMaker, Redshift, Athena, Glue, QuickSight or similar
- Hands-on experience with Tableau
- Experience building metrics frameworks and dashboards from scratch
- Experience with Anomaly Detection / Predictive Modeling in production or operational environments
- Strong communication and stakeholder management skills
- Experience integrating and analyzing data from multiple systems/sources
? Good to Have
- Healthcare, Diagnostics, or Lab Operations experience
- Operational Analytics, SLA Monitoring, Error Tracking, System Health Metrics
- Real-time/Streaming Analytics – Kinesis, Lambda
? Key Responsibilities
- Build metrics frameworks for digital ordering and operational pipelines
- Develop dashboards for volume, throughput, TAT, error rates, and system stability
- Build predictive models for failures, trends, and capacity planning
- Develop automated anomaly detection solutions
- Perform statistical root-cause analysis for production/system issues
- Partner with Engineering teams on data instrumentation
- Present complex analytical insights to leadership and technical teams
- Support ad-hoc analysis and production incident investigations
- Document metric definitions, model logic, data sources, and dashboards
? Interview ProcessL1 – Technical | L2 – Techno-Managerial | Client Interview
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📌 Data Scientist (Hyderabad)
🏢 Gyanindit
📍 Hyderabad