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Overnight Azure Data Scientist Jobs (NOW HIRING)

Lorven technologies

Data Scientist

Tampa, FL · On-site

$130K - $140K/yr

Skills / Experience: * 8+ years in data science or Applied ML roles; 3+ years of experience in Databricks in production * 5+ years of experience in Python -- Pandas, PySpark, scikit-learn, Azure ML ...

Tanisha Systems

Azure Data Engineer

New York, NY · On-site

$125K - $150K/yr

Azure Data Engineer Date: Start Date: 10/01/2025 Assist in building and maintaining the ... Work with data scientists, analysts, and marketers to understand business needs and translate them ...

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus • Experience with GitHub or Azure DevOps • Prior consulting and business development experience a plus ...

AIT Global, Inc.

Data Scientist

Grand Prairie, TX · On-site

Strong SQL and Python proficiency with hands-on experience in medallion/Lakehouse architectures on Databricks, Snowflake, AWS, or Azure. * Data Science Proven track record building and deploying ML ...

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus • Experience with GitHub or Azure DevOps • Prior consulting and business development experience a plus ...

ACI Infotech

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Master's or Bachelor's Degree with coursework focused on Data & Analytics, Data Science, Data ... Azure Data Engineer Associate Certification) preferred * Minimum 3 years of experience working on ...

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus • Experience with GitHub or Azure DevOps • Prior consulting and business development experience a plus ...

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus • Experience with GitHub or Azure DevOps • Prior consulting and business development experience a plus ...

Aroha Technologies Inc

azure data architect

Winters, TX · On-site +1

$60.50 - $78.75/hr

Bachelor's degree in Computer Science, Information Technology, or a related field * 8+ years of experience in data architecture and design * Strong proficiency in Azure Data services (Azure SQL ...

Amerihealth Caritas

Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Bachelor's degree in computer science, Information Systems, Software Engineering * Technical: Hands on experience with Azure Data Factory (4+ years), Azure Databricks (4+ years), HVR (2+ years ...

RecruitTalent LLC.

Data Scientist

Fredericksburg, VA · On-site

$60 - $70/hr

Implement ETL processes and maintain scalable data storage on cloud platforms such as AWS, Azure ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or ...

1 point system

.Net Azure Architect

San Francisco, CA · On-site

$74.75 - $97.50/hr

Work closely with AI engineering, data science, and security teams to optimize Azure cloud solutions. Required Qualifications: * Experience: 12-15 years in designing, developing, and supporting ...

Laksan Technologies

Data Scientist

Richmond, VA · On-site

This Data Scientist position with the Professional Services Procurement Office will be an important ... Apache Spark, Spark SQL, Hive, HDFS, MapReduce, Azure Data Lake * Cloud platforms: Amazon Web ...

1 point system

Azure .NET Architect

San Francisco, CA · On-site

$74.75 - $97.50/hr

Work closely with AI engineering, data science, and security teams to optimize Azure cloud solutions. * Experience: 12-15 years in designing, developing, and supporting enterprise-grade SaaS products ...

S Linx LLC

Azure Data Consultant

Reston, VA · On-site

Azure Data Warehouse, Azure Logic Apps, Azure Functions, Azure Data Factory, SQL Server Minimum Requirements: · Bachelor's degree in a quantitative or scientific field such as computer science ...

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Overnight Azure Data Scientist information

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How much do overnight azure data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for overnight azure data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an overnight Azure Data Scientist, and why are they important?

To thrive as an Overnight Azure Data Scientist, you need a strong background in data science, statistics, and machine learning, typically backed by a relevant degree and experience with cloud-based analytics. Proficiency with Microsoft Azure tools (such as Azure Machine Learning, Data Factory, and Databricks), Python or R, and relevant certifications like Microsoft Certified: Azure Data Scientist Associate are commonly required. Excellent problem-solving, communication, and the ability to work independently during overnight hours are critical soft skills. These competencies ensure robust data solutions, seamless collaboration across teams, and reliable support for real-time business needs during off-peak hours.

What is an Overnight Azure Data Scientist?

An Overnight Azure Data Scientist is a professional who works primarily during nighttime or non-standard hours to analyze, process, and interpret large data sets using Microsoft Azure's cloud computing tools and services. Their responsibilities often include building and deploying machine learning models, managing data pipelines, and ensuring the reliability of data-driven systems outside of typical business hours. This role is crucial for organizations that require 24/7 data operations, global collaboration, or support for real-time analytics.

What are some unique challenges faced by overnight Azure Data Scientists, and how can they effectively collaborate with daytime teams?

Overnight Azure Data Scientists often encounter challenges such as limited real-time access to stakeholders and the need to synchronize work with daytime teams. Effective communication through detailed documentation and regular handoff meetings is crucial to ensure project continuity. Leveraging Azure's collaborative tools, such as shared notebooks and automated reports, helps maintain alignment and smooth transitions between shifts. Building strong relationships with colleagues across time zones also enhances collaboration and project efficiency.

What is the difference between Overnight Azure Data Scientist vs Data Analyst?

AspectOvernight Azure Data ScientistData Analyst
Required CredentialsAzure certifications, data science degrees, programming skillsData analysis courses, basic SQL, Excel skills
Work EnvironmentCloud platforms, data science teams, project-basedOffice settings, reporting teams, business units
Employer & Industry UsageTech companies, finance, healthcare using AzureRetail, marketing, finance across various industries

Overnight Azure Data Scientists focus on developing machine learning models and data solutions using Azure cloud services, often working in technical, project-driven environments. Data Analysts primarily interpret data, generate reports, and support business decisions with less emphasis on cloud platforms or advanced modeling. While both roles analyze data, the Azure Data Scientist requires specialized cloud and programming skills, making their work more technical and cloud-centric.

What cities are hiring for Overnight Azure Data Scientist jobs? Cities with the most Overnight Azure Data Scientist job openings:
What are the most commonly searched types of Azure Data Scientist jobs? The most popular types of Azure Data Scientist jobs are:
What states have the most Overnight Azure Data Scientist jobs? States with the most job openings for Overnight Azure Data Scientist jobs include:
Overnight Azure Data Scientist jobs near you

Data Scientist

Lorven technologies

Tampa, FL • On-site

$130K - $140K/yr

Full-time

Re-posted 21 days ago

Job description

Job Title: Data Scientist
Location: Austin, TX 78757 (or) Tampa, FL 33602 - Onsite 
Full-Time
 
As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for CPG portfolios on Databricks (Azure). Work closely with commercial, supply chain, and engineering teams to build ML solutions that improve forecast accuracy, reduce inventory waste, and support revenue growth. Bring deep ML expertise, strong Python engineering skills, and a nuanced understanding of CPG market dynamics — and you are comfortable translating complex model outputs into clear business recommendations.
 
Skills / Experience:
  • 8+ years in data science or Applied ML roles; 3+ years of experience in Databricks in production
  • 5+ years of experience in Python — Pandas, PySpark, scikit-learn, Azure ML or Azure ecosystem and Databricks experience in production
  • 5+ years of experience in Supervised, unsupervised Machine Learning (ML) algorithms, forecasting and inventory optimization
  • 5+ years of experience in deep learning algorithms applying to solve forecasting, regression and classification problems
  • 3+ years of experience in building ML models in CPG, FMCG, or Retail analytics industry
  • 3+ years of experience in MLflow or equivalent experiment tracking tool 
  • Master's or PhD in Statistics, CS, or related field (preferred)
 
Job / Role Description:
  • Lead end-to-end sales forecasting model development — from data sourcing and feature engineering through model training, validation, and productionisation on Databricks (Azure)
  • Design and maintain forecasting pipelines — at SKU, category, and regional hierarchy levels — incorporating POS data, promotional calendars, seasonality indices, and external signals (macroeconomic, weather)
  • Apply CPG domain knowledge — to model promotional uplift, new product introduction curves, product cannibalization, and retailer sell-in/sell-out dynamics into ML features and targets
  • Operationalise ML models using MLflow on Databricks — manage the model registry, version control experiments, automate retraining schedules, and configure drift monitoring alerts
  • Collaborate with commercial and supply chain teams — to translate forecast outputs into inventory recommendations, production planning inputs, and revenue growth strategies
  • Define and enforce data science best practices — modelling standards, experiment documentation, code review guidelines, and reproducibility requirements across the team
  • Mentor junior data scientists — conduct code reviews, lead knowledge-sharing sessions, support career development, and build a high-performance data science culture
  • Communicate model insights and forecast accuracy — to senior stakeholders through dashboards, executive briefings, and written reports — making complex model behaviour accessible to business audiences
  • Drive continuous model improvement — benchmark new algorithms, evaluate AutoML approaches, and run controlled experiments to improve MAPE, bias, and coverage metrics
  • Partner with data and platform engineers — to ensure feature pipelines on Azure Data Lake / Delta Lake are reliable, scalable, and aligned with model refresh cadence requirements
  • Communicate effectively with internal and customer stakeholders; Strong interpersonal skills to build and maintain productive relationships with team members
  • Problem-Solving and Analytical Thinking; Capability to troubleshoot and resolve issues efficiently
  • Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps
  • Provides regular updates, proactive and due diligent to carry out responsibilities
Expected Outcome / What Success Looks Like
  • Data Scientist is expected to meet customer expectations within accelerated timelines, enabling us to strengthen our capabilities and drive growth in this area
  • Statistical Analysis & Experimentation - A/B testing, causal inference, and hypothesis testing to measure the business impact of model improvements and pricing interventions
  • This role offers the opportunity to lead high-impact data science initiatives that directly shape customer outcomes and gain strong visibility with senior leadership
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

Social media

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