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Overnight Python Data Science Jobs in Pennsylvania

Deloitte

AI and Data Science Engineer III

Pittsburgh, PA

$111K - $133K/yr

Proficiency in Python or R for statistical modeling and data wrangling. * Strong communication ... AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ...

Deloitte

AI and Data Science Engineer III

Philadelphia, PA

$115K - $138K/yr

Proficiency in Python or R for statistical modeling and data wrangling. * Strong communication ... AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ...

Cmu

Data Scientist

Pittsburgh, PA

If you are a data science or statistics expert with an interest in cybersecurity, we want to hear ... Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy ...

Cubesmart

Senior Data Scientist

Malvern, PA · Hybrid

Ensure the accuracy, quality, and scalability of data science solutions. * Assist in the creation ... Proficiency in programming languages such as Python and SQL, and big data technologies like ...

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Overnight Python Data Science information

What are Overnight Python Data Science jobs?

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.

What are the key skills and qualifications needed to thrive as an Overnight Python Data Science professional, and why are they important?

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.

What are the most commonly searched types of Python Data Science jobs in Pennsylvania? The most popular types of Python Data Science jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Overnight Python Data Science jobs? Cities in Pennsylvania with the most Overnight Python Data Science job openings:
Overnight Python Data Science jobs near you

Data Scientist

Allegheny County, Pennsylvania

Pittsburgh, PA

Other

Posted 5 days ago

Job description

Data Science at DHS


At Allegheny County Department of Human Services (DHS), our mission is to improve the welfare of the County's most vulnerable residents. We operate, influence, and fund essential services worth over $1 billion that more than 200,000 residents depend on each year, including treatment for mental health and addiction, homeless housing, and child and older adult protective services. Over the past 20 years, we have built a national reputation for being on the cutting edge of state and local governments using analytics and technology to deliver more effective and efficient public services. While we know much more about the use of analytics and software than when we first started, we still have much to learn. Above all, we are convinced that there remain significant opportunities for data and technology to improve the lives of our clients, and for DHS to extend its leadership role in inspiring governments to make similar investments.


Data Scientist


We're looking for an engineering focused data scientist or software engineer/systems architect with a mix of experience or interest in machine learning (predictive modeling) or economics (applied microeconomics and causal inference) to come join our data science team. The Data Scientist will work to construct software for leveraging nationally recognized, integrated human services data and partner with world-class academics to help drive research that improves outcomes for our most vulnerable residents. Our bet is that great talent, even in time-limited commitments, can result in a step function improvement in the quality of work in local government.

The data science team owns DHS's measurement problems and predictive models, with a team charter of: (1) creating feedback loops on our performance by learning about the efficacy of programs and interventions and informing DHS's funding commitments; (2) augmenting human judgement to improve operations and optimize constrained resources, such as case worker bandwidth; and (3) developing high quality reusable software that allows us to deliver inference at scale. The data scientists will collaborate closely with our 40-person Analytics team, Technology team, program managers, and senior leadership to help identify what works and why, iterate and experiment with new approaches to service delivery, improve human decision making, build better software, and convert analytics into automated, extensible products.

Strong candidates for the role will be clear, organized thinkers about complicated empirical questions, have a bias toward simplicity over methodological complexity, and possess a sound grasp of the fundamentals in their field. With our nationally recognized integrated data and talented teammates to support empirical work, ideal candidates will be intellectually curious and fearless about tackling difficult, unsolved problems for the department.


We are looking for someone who:


  • Has a core competency in python and abstract, hierarchical design as well as some experience with statistical and machine learning modeling.
  • Has a graduate degree or significant experience in computer science or related field.
  • Has a track record of developing high-quality, well-structured, and maintainable software applications
  • Experience with applied research and/or industry experience in building machine learning or causal models to answer real-world problems.
  • Balances speed of delivery with upholding high standards on quality.
  • Has a desire to develop, test, and QC software to facilitate end-to-end applied research.
  • Maintains a flexible approach to problem solving, prioritizing impact over technical complexity.
  • Has knowledge of a statistical programming language such as Python, R, or Stata and familiarity with a programming language for querying structured data.


Application


  • Resume and/or LinkedIn profile

If you're concerned that you don't have all of the parts of a successful application, we still highly encourage you to apply. Data science is always a healthy mix of modeling and engineering, and we do not expect every candidate to be fully qualified across all subfields.

If hired for a position, candidates would work for Allegheny County, Department of Human Services and be employed byCAI.

"DHS strives to be the kind of place where a diverse mix of talented people want to come to grow and do their best work."

-From the organization's statement on Equity and Inclusion

AN EQUAL OPPORTUNITY EMPLOYER - M/F/V/D

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