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Overnight Python Data Science Jobs in Easton, PA

Varsity Tutors

Machine Learning Tutor

Allentown, PA · Remote

$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.

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.

Everest

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.

Everest Re Group

Cat Portfolio Manager

Warren, NJ · On-site

$134K - $198K/yr

... data science, insurtech), this is the job for you. Responsibilities: * Lead the charge in ... A history of using Python, C#, or other languages to automate data flow and workflow processes ...

Varsity Tutors

Linear Algebra Tutor

Allentown, PA · Remote

$40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... Adapts instruction using matrix visualization tools, computational software like MATLAB or Python ...

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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 Sep 12, 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 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 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.

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.

What cities near Easton, PA are hiring for Overnight Python Data Science jobs?

Cities near Easton, PA with the most Overnight Python Data Science job openings:

Overnight Python Data Science jobs near you

Catastrophe Risk Modeling Specialist

Warren, NJ • Hybrid

MSIG Holdings USA, Inc.
See more jobs at MSIG Holdings USA, Inc.external

$95K - $125K/yr

Full-time

Re-posted 26 days ago

Job description

MSIG USA continues to grow!

Company Overview:

MSIG USA is the US-based subsidiary ofMS&AD Insurance Group Holdings, Inc., one of the world's top P&C carriers and a global Class 15 insurer, with A+ ratings and a reach that spans 40+ countries and regions. Leveraging our 350-year heritage, MSIG USA brings the financial strength, expertise, and global footprint to offer commercial insurance solutions that address your business's unique risks.

Location

Location: Hybrid role; Atlanta, GA preferred. Warren, NJ or NY considered. Other MSMM office locations may be possible.

Position Overview:

As an expanding and critical area in the insurance industry, catastrophe modeling plays a key role in protecting insureds from the impacts of climate change. MSMM is seeking a motivated individual with strong analytical skills and an interest in quantitative analysis to join our Catastrophe Modeling team.

The Catastrophe Modeling Analyst will work closely with experienced modelers to perform account-level modeling for the company's property portfolio using vendor software (AIR) and internal tools. This role involves collecting, analyzing, and ensuring the quality of property data, as well as supporting underwriters with outputs needed for informed risk decisions. Additional responsibilities include portfolio-level analysis for PML calculations, property aggregations, profitability, and trend indications.

Essential Functions:

  • Perform account-level property catastrophe modeling and assist underwriters with day-to-day requests.

  • Review and validate high-impact account modeling results; support initiatives to improve modeling efficiency.

  • Identify and monitor aggregate exposures to mitigate potential losses from extreme events (e.g., hurricanes, earthquakes, wildfires).

  • Track and analyze underwriting data to manage MSMM's property portfolio.

  • Maintain data quality through regular file and portfolio reviews and completion of QC checklists.

  • Collaborate with underwriting, reinsurance, and management teams to implement best practices for data integrity.

  • Provide modeling support for field underwriters and resolve related issues.

  • Deliver data and modeling results for Ceded Re, Actuarial, and Finance teams; complete ad hoc projects as needed.

  • Support monthly and quarterly modeling processes.

  • Assist in developing internal/external training programs related to catastrophe management.

  • Enhance reporting capabilities and create new reports for senior leadership.

Education & Experience:

  • 2-3 years of experience in catastrophe modeling, preferably in commercial lines with portfolio modeling focus.

  • Proficiency in Verisk CAT modeling; Moody's experience is a plus.

  • Strong understanding of commercial property insurance terms and ability to accurately model complex structures.

  • Advanced skills in Excel and SQL; experience with Python, VBA, or R is beneficial.

  • Excellent communication skills to present complex analyses to business stakeholders.

  • Highly organized with attention to detail; ability to manage multiple priorities and deliver high-quality work on time.

  • Bachelor's degree in a quantitative field (mathematics, data science, computer science, or physical sciences).

Salary: The base pay range is $95,000.00 - 125,000.00. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location.

#LI-HYBRID

It's an exciting time for our company and a great opportunity to join a financially sound and growing global insurance group!


It is the policy of MSIG USA to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, MSIG USA will provide reasonable accommodations for qualified individuals with disabilities.

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