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Overnight Python Data Science Jobs in Maryland (NOW HIRING)

Experience with Jupyter Notebooks, Python Data Science Libraries. * Experience with ML-OPS and related tools (e.g., MLFLOW, Sagemaker, Bedrock) and ability to build interactive, insightful dashboards ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

Key Responsibilities Data Science & Analytics * Partner with practice leaders and clients to ... Proficiency in Python , SQL , and tools like Pandas , Scikit-learn , NLTK / spaCy , and Spark

Key Responsibilities Data Science & Analytics * Partner with practice leaders and clients to ... Proficiency in Python , SQL , and tools like Pandas , Scikit-learn , NLTK / spaCy , and Spark

Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

Key Responsibilities Data Science & Analytics * Partner with practice leaders and clients to ... Proficiency in Python , SQL , and tools like Pandas , Scikit-learn , NLTK / spaCy , and Spark

Data Scientist L3

Annapolis, MD · On-site

$140.40K - $265.30K/yr

Data Science and/or advanced analytical algorithms * Programming skills in at least one high level language e.g., Python * Data management e.g., data cleaning and transformation * Data mining * Data ...

Data Scientist

Annapolis, MD · On-site

$119K - $285K/yr

Job Brief Data Science, Python, Jupyter Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe in providing ...

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Overnight Python Data Science information

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 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 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 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 Maryland? The most popular types of Python Data Science jobs in Maryland are:
Data Scientist L3

Other

Posted 21 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

47th of 424 rated business services


Job description

Job Summary:

As a Data Scientist at AFS, you'll develop innovative approaches to glean meaning and value from large datasets- working collaboratively and iteratively throughout the data-science lifecycle. You'll create qualitative and quantitative methods to characterize datasets in various states to optimize analytical workflows; identify new or existing algorithms, machine learning, or artificial intelligence technologies to help solve technical and operational problems; employ analytic modeling, scripting, and/or programming to aggregate data and construct usable intelligence from different data sets and sources concerning customer requirements; evaluate, document, and share research processes and results with peers, customers, and leadership.

Here's what you need:

  • A.A. and 12 years of relevant experience OR B.S. and 10 years of relevant experience OR M.S. and 8 years of relevant experience OR PhD and 6 years of relevant experience
  • Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field
  • Relevant experience must include some combination of two or more of the following:
    • Designing and implementing machine learning
    • Data Science and/or advanced analytical algorithms
    • Programming skills in at least one high level language e.g., Python
    • Data management e.g., data cleaning and transformation
    • Data mining
    • Data modeling and assessment
    • Artificial intelligence
    • Software engineering

Security Clearance:

  • An active TS/SCI with polygraph clearance is required to start

What Accenture Federal Services employees say

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