Data Scientist Neev System

The Data Scientist Neev System at arisexcel corporation listing states pay of ₹25L+ for the Hyderabad, Telangana-36, India-101 position. That figure is taken directly from the employer's own posting as published, not estimated or averaged from other roles, and the same listing asks for 8–12 yrs of experience.

arisexcel corporation lists this Data Scientist Neev System role in Hyderabad, Telangana-36, India-101, advertised as full time work at that location and asking for 8–12 yrs of experience. Larger employers sometimes cover several sites under one city name, so confirm the exact office with arisexcel corporation before you apply.

The Data Scientist Neev System at arisexcel corporation listing names Job Requirement details Job Title / Role Data Scientist Type of Employment (Full time/Contract/Contract to hire) Full Time Years of Experience Required (Min-Max) 8 + Years( Relevant should be 7 Years) No. of Positions 2 CTC in INR 30 LPA Bounty Highest Qualification Required Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. Work Location Hyderabad Mode of Work (Remote/On-site/Hybrid) WFO/4 Days Hybrid Mandatory Notice Period/ Start Date Flexibility Immediate - 15 Days On-site feasibility (work abroad) No Interview Rounds L1- TechnicaL L2 - Techno Mnagerial Client Interview Interview Panel Time slots 12PM - 3PM - L1 Office Time 4:00 PM – 1:00 AM Weekend Drives No Salaries paid on Last working day of the month Must/Good to Have Details Must have · 8+ years of experience in a data scientist, ML engineer, or advanced analytics role · Strong foundation in statistics — hypothesis testing, regression, time series analysis, Bayesian methods · Advanced SQL — comfortable writing complex queries across large, multi-source datasets · Proficiency in Python or R for analysis, modeling, and automation · Experience with ML/statistical libraries (scikit-learn, statsmodels, pandas, NumPy, or similar) · Experience with AWS data and ML services (SageMaker, Redshift, Athena, Glue, QuickSight, or similar) · Hands-on experience with Tableau · Demonstrated ability to define metrics frameworks and build dashboards from scratch, not just maintain existing ones · Experience building anomaly detection or predictive models in a production or operational context · Strong communication skills — able to present statistical findings to executives, engineering leaders, and technical teams with equal clarity · Experience working across multiple teams or systems, synthesizing data from disparate sources into a unified view Good to have · Familiarity with healthcare, diagnostics, or lab operations · Experience with operational analytics (error tracking, SLA monitoring, system health metrics) · Experience with real-time or streaming analytics (Kinesis, Lambda) Key role and responsibilities · Define and build the metrics framework for the digital ordering pipeline — from order intake through result delivery · Design and deliver dashboards that track 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 needs · Develop automated anomaly detection to surface pipeline issues before they escalate · Apply statistical methods for root cause analysis — diagnosing why systems fail, not just what failed · Partner with engineering teams to instrument data collection where gaps exist · Translate complex technical and statistical findings into clear narratives for executive leadership, engineering management, and individual engineering teams · Investigate ad-hoc data questions — diagnosing production issues, quantifying impact of incidents, and supporting root cause analysis · Document metric definitions, model logic, data sources, and dashboard design so the organization can maintain and extend your work independently and 8+ years of experience in a data scientist, ML engineer, or advanced analytics role · Strong foundation in statistics — hypothesis testing, regression, time series analysis, Bayesian methods · Advanced SQL — comfortable writing complex queries across large, multi-source datasets · Proficiency in Python or R for analysis, modeling, and automation · Experience with ML/statistical libraries (scikit-learn, statsmodels, pandas, NumPy, or similar) · Experience with AWS data and ML services (SageMaker, Redshift, Athena, Glue, QuickSight, or similar) · Hands-on experience with Tableau · Demonstrated ability to define metrics frameworks and build dashboards from scratch, not just maintain existing ones · Experience building anomaly detection or predictive models in a production or operational context · Strong communication skills — able to present statistical findings to executives, engineering leaders, and technical teams. Those are the skills the employer put on the posting itself, so they are the ones worth matching in your profile and covering first in an interview.

arisexcel corporation asks for 8–12 yrs of experience on this Data Scientist Neev System posting, alongside Job Requirement details Job Title / Role Data Scientist Type of Employment (Full time/Contract/Contract to hire) Full Time Years of Experience Required (Min-Max) 8 + Years( Relevant should be 7 Years) No. of Positions 2 CTC in INR 30 LPA Bounty Highest Qualification Required Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. Work Location Hyderabad Mode of Work (Remote/On-site/Hybrid) WFO/4 Days Hybrid Mandatory Notice Period/ Start Date Flexibility Immediate - 15 Days On-site feasibility (work abroad) No Interview Rounds L1- TechnicaL L2 - Techno Mnagerial Client Interview Interview Panel Time slots 12PM - 3PM - L1 Office Time 4:00 PM – 1:00 AM Weekend Drives No Salaries paid on Last working day of the month Must/Good to Have Details Must have · 8+ years of experience in a data scientist, ML engineer, or advanced analytics role · Strong foundation in statistics — hypothesis testing, regression, time series analysis, Bayesian methods · Advanced SQL — comfortable writing complex queries across large, multi-source datasets · Proficiency in Python or R for analysis, modeling, and automation · Experience with ML/statistical libraries (scikit-learn, statsmodels, pandas, NumPy, or similar) · Experience with AWS data and ML services (SageMaker, Redshift, Athena, Glue, QuickSight, or similar) · Hands-on experience with Tableau · Demonstrated ability to define metrics frameworks and build dashboards from scratch, not just maintain existing ones · Experience building anomaly detection or predictive models in a production or operational context · Strong communication skills — able to present statistical findings to executives, engineering leaders, and technical teams with equal clarity · Experience working across multiple teams or systems, synthesizing data from disparate sources into a unified view Good to have · Familiarity with healthcare, diagnostics, or lab operations · Experience with operational analytics (error tracking, SLA monitoring, system health metrics) · Experience with real-time or streaming analytics (Kinesis, Lambda) Key role and responsibilities · Define and build the metrics framework for the digital ordering pipeline — from order intake through result delivery · Design and deliver dashboards that track 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 needs · Develop automated anomaly detection to surface pipeline issues before they escalate · Apply statistical methods for root cause analysis — diagnosing why systems fail, not just what failed · Partner with engineering teams to instrument data collection where gaps exist · Translate complex technical and statistical findings into clear narratives for executive leadership, engineering management, and individual engineering teams · Investigate ad-hoc data questions — diagnosing production issues, quantifying impact of incidents, and supporting root cause analysis · Document metric definitions, model logic, data sources, and dashboard design so the organization can maintain and extend your work independently and 8+ years of experience in a data scientist, ML engineer, or advanced analytics role · Strong foundation in statistics — hypothesis testing, regression, time series analysis, Bayesian methods · Advanced SQL — comfortable writing complex queries across large, multi-source datasets · Proficiency in Python or R for analysis, modeling, and automation · Experience with ML/statistical libraries (scikit-learn, statsmodels, pandas, NumPy, or similar) · Experience with AWS data and ML services (SageMaker, Redshift, Athena, Glue, QuickSight, or similar) · Hands-on experience with Tableau · Demonstrated ability to define metrics frameworks and build dashboards from scratch, not just maintain existing ones · Experience building anomaly detection or predictive models in a production or operational context · Strong communication skills — able to present statistical findings to executives, engineering leaders, and technical teams. Employers commonly consider candidates slightly under a stated band when the listed skills line up.

The Data Scientist Neev System posting at arisexcel corporation was open at OnJob's last check of the employer's careers page, having been published on 17 August 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.

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