Companies hiring Datas (540+ live roles)

Full Time 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 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

₹25L+

Data Scientist Neev System

arisexcel corporation

Hyderabad, Telangana-36, India-101

Full Time Colleges Tier List mentioned below • Experience: Minimum 3 years of experience is mandatory in data management projects with technologies like Microsoft Fabric, Snowflake, and Databricks with related tools and technologies • Programming Skills: Excellent skills in SQL & Python are essential for this role • Data Management: Basic understanding of database management systems, data warehouse and data modelling is essential for this role • Analytical Skills: Strong analytical abilities to interpret trends and patterns in complex datasets. • Communication Skills: Excellent verbal and written communication skills for collaborating with team members.

₹9L+

Data Engineer,Bridgehorn

arisexcel corporation

Hyderabad, Telangana-36, India-101

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