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Overnight Python Data Science Jobs in Easton, PA

FocusKPI

Marketing Operations Analyst

Allentown, PA · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of ... Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and ...

Everest

AI / Machine Learning Engineering Lead

Warren, NJ · Hybrid

$180K - $220K/yr

Work closely with data scientists, software engineers, and other stakeholders to align AI solutions ... Expertise in Python and/or R for data analysis and model development. Familiarity with SQL and ...

Everest Insurance

AVP, Data Engineering

Warren, NJ · On-site

$118K - $142K/yr

Bachelor's degree in computer science, engineering, or business * 10+ years' experience in ... Python, SQL), and an understanding of data engineering practices The base salary range for this ...

Everest Re Group

AVP, Data Engineering

Warren, NJ · Hybrid

$118K - $142K/yr

Bachelor's degree in computer science, engineering, or business * 10+ years' experience in ... Python, SQL), and an understanding of data engineering practices The base salary range for this ...

Everest Re Group

AVP, Technical Data Analyst

Warren, NJ · Hybrid

$175K - $210K/yr

Bachelor's degree in finance, Statistics, Mathematics, Computer Science, MIS, or a related field ... Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc.

Varsity Tutors

Machine Learning Tutor

Allentown, PA · Remote

$18 - $40/hr

Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Everest Insurance

AVP, Technical Data Analyst

Warren, NJ · On-site

$175K - $210K/yr

Bachelor's degree in finance, Statistics, Mathematics, Computer Science, MIS, or a related field ... Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc.

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Overnight Python Data Science information

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How much do overnight python data science jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for overnight python data science in Easton, PA is $55.64, according to ZipRecruiter salary data. Most workers in this role earn between $45.87 and $63.22 per hour, depending on experience, location, and employer.

What is an overnight Python data science job?

Overnight Python Data Science jobs involve working night shifts to perform data analysis, build models, or process data using Python programming. These roles may include tasks like cleaning datasets, running automated pipelines, and generating reports for teams that operate on a 24-hour cycle. Such positions are common in industries that require round-the-clock data monitoring or support, such as finance, healthcare, or IT operations. Professionals in these roles typically have experience with Python, data science libraries, and may collaborate with global teams across different time zones.

What are the main challenges of working as an overnight Python data science professional, and how can I succeed in this role?

Working as an Overnight Python Data Science professional often means handling data pipelines, model monitoring, and urgent troubleshooting during hours with limited team support. The main challenges include quickly resolving unexpected data issues, maintaining high attention to detail during late hours, and communicating findings to daytime teams. Success in this role relies on strong problem-solving skills, proactive communication (such as clear shift handovers), and the ability to work independently while following established protocols. Building robust documentation and automating regular tasks can also help manage workload and reduce errors.

How much does an Overnight Python Data Science professional make?

An overnight Python Data Science professional typically earns between $70,000 and $120,000 annually, depending on experience, location, and industry. Salaries may be higher for those with advanced skills in machine learning, big data tools, and relevant certifications, especially for roles requiring overnight or shift work.

What skills and qualifications are needed to thrive as an overnight Python data science professional?

To thrive as an Overnight Python Data Science professional, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and machine learning concepts, often backed by a degree in a quantitative field. Familiarity with tools such as Jupyter Notebook, Pandas, Scikit-learn, and data visualization libraries, along with experience using databases and cloud platforms, is typically required. Excellent problem-solving skills, attention to detail, and the ability to work independently during non-standard hours help you excel in this role. These skills and qualities are vital for efficiently analyzing data, building reliable models, and delivering actionable insights in a time-sensitive, often autonomous overnight environment.

What is the difference between Overnight Python Data Science vs Data Analyst?

AspectOvernight Python Data ScienceData Analyst
Required SkillsPython, data analysis, machine learning, statistical modelingExcel, SQL, data visualization, basic statistics
Work EnvironmentRemote or night shifts, tech-focused companies, data-driven rolesOffice-based or remote, business or marketing departments
Industry UsageTech, finance, e-commerce, healthcareRetail, finance, marketing, consulting

Overnight Python Data Science roles focus on advanced data analysis, machine learning, and programming skills, often requiring night shifts and remote work. Data Analysts typically handle data visualization, reporting, and basic analysis during regular hours. Both roles are essential in data-driven industries but differ in technical complexity and work schedules.

Overnight Python Data Science jobs near you

Marketing Operations Analyst

FocusKPI

Allentown, PA • On-site

Full-time

Re-posted 26 days ago

Job description

FocusKPI is looking for a Marketing Operations Analyst to join one of our clients, a high-tech SaaS company.

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you’ll help share the client's marketing data strategy. This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such as GDPR and CCPA. This is a hands-on technical role, ideal for someone who thrives in ambiguity, works autonomously with large data sets, and brings structure to complex problems. The role involves writing complex SQL to access data in our warehouse, while also building and activating audiences through our customer data platform (CDP). The ideal candidate is innately curious and passionate about identifying novel approaches to derive value from disparate data sets and highly motivated to improve your skillset around the modern data stack.

Responsibilities:

  • Audience Targeting: Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns.
  • Data Governance and Management: Gain a comprehensive understanding of our data quality and flow processes, while identifying and developing solutions to enhance data usability and accessibility.
  • Compliance Oversight: Ensure all marketing data practices adhere to privacy regulations, including GDPR and CCPA.
  • Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.
  • Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour.
  • Collaboration and Communication: Collaborate cross-functionally with marketing stakeholders to gather evolving requirements, design effective solutions, and clearly communicate nuances of the deliverable to ensure alignment and actionable outcomes.

Requirements:

  • Bachelor’s degree in Data Science, Computer Science, or a related field
  • Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment
  • Proficiency in SQL for data manipulation and analysis. Comfortable with Python.
  • Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau
  • Strong analytical and problem-solving skills with the ability to interpret complex data sets and generate actionable insights.
  • Exceptional attention to detail and a commitment to maintaining high data quality standards.
  • Demonstrates innate curiosity, comfort with ambiguity, and a proactive approach to identifying opportunities for improvement and innovation in data processes

No C2C resumes are considered

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About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010

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