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Overnight Python Data Science Jobs in Brooklyn, NY

Data Scientist

Manhattan, NY · Hybrid

$88K - $110K/yr

... Python, Data science, Sql, snowflake, azure, financial analytics, CRE data providers Top Skills Details Python,Data science,Sql Additional Skills & Qualifications Preferred Skill: • Sigma, PowerBI ...

Data Scientist

Manhattan, NY · Hybrid

$88K - $110K/yr

... Python, Data science, Sql, snowflake, azure, financial analytics, CRE data providers Top Skills Details Python,Data science,Sql Additional Skills & Qualifications Preferred Skill: • Sigma, PowerBI ...

Data Scientist

Manhattan, NY · On-site

$88K - $110K/yr

... Python, Data science, Sql, snowflake, azure, financial analytics, CRE data providers Top Skills Details Python,Data science,Sql Additional Skills & Qualifications Preferred Skill: • Sigma, PowerBI ...

Overall 10+ years of experience with data science, credit risk management experience is a definite plus * 2-4 years of credit risk modeling experience * 2+ years of experience with Python programming

Python Developer/Data Engineer

New York, NY · On-site

$55 - $75.75/hr

Data Science and DevOps areas. Our Expert program offers experienced professionals access to top ... Proficiency in Python, with a strong understanding of object-oriented programming principles.

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... Hands-on programming language skills (SQL, Python, R, etc) * Experienced in machine learning ...

Python Developer/Data Engineer

New York, NY · On-site

$55 - $75.75/hr

Data Science and DevOps areas. Our Expert program offers experienced professionals access to top ... Proficiency in Python, with a strong understanding of object-oriented programming principles.

... Python, data science libraries, model validation methods, and modern AI/ML approaches, including generative AI where relevant, to communicate actionable insights to business and technical ...

Proficiency in Python, data analysis, visualization, and writing scalable, production-ready code using object-oriented design. * Demonstrated ability to take data science, ML, or causal inference ...

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Overnight Python Data Science information

See Brooklyn, NY salary details

$13

$61

$90

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

As of Sep 8, 2026, the average hourly pay for overnight python data science in Brooklyn, NY is $61.64, according to ZipRecruiter salary data. Most workers in this role earn between $50.82 and $70.00 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 Brooklyn, NY are hiring for Overnight Python Data Science jobs?

Cities near Brooklyn, NY with the most Overnight Python Data Science job openings:

Infographic showing various Overnight Python Data Science job openings in Brooklyn, NY as of July 2026, with employment types broken down into 12% Internship, 64% Full Time, 12% Part Time, and 12% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $128,213 per year, or $61.6 per hour.

Data Scientist Alternative (NY)

Capital Fund Management (CFM)

Manhattan, NY • On-site

$100 - $125/hr

Other

Re-posted 28 days ago


Job description

Founded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients. We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions.

Your Role

The Data Insights/Data Science Alternative team collaborates closely with Research to perform predictive statistical analyses and derive valuable insight over a wide variety of datasets.

Key Responsibilities

As an expert in data analysis and information extraction, you will be involved in every stage from the exploration to the production, including:

  • Extracting actionable features from alternative data
  • Designing robust, efficient, scalable, and monitored production pipelines
  • Support Quantitative Researchers in their day-to-day activities
  • Understanding business issues to identify new opportunities
  • End-to-end ownership of the features and production build
  • Ensuring continuous technology watch
Your Skills

You have a master’s degree (ideally a Master’s in machine learning or data science) from engineering school or university equivalent.

At Least a 2 years of expertise in the Python data science stack.

You are familiar with cloud services, such as AWS.

At least 2 years of expertise in machine learning, especially on time series, on a production environment.

You bring experience with LLM-assisted coding, agentic AI, and prompt engineering, focused on developing robust, production-grade solutions for financial use cases.

You are versatile, autonomous, and rigorous, with a team player attitude andgood communication skills.

You are keen to develop in an environment that handles large volumes of data.

EQUAL OPPORTUNITIES STATEMENT

We are continuously striving to be an equal opportunity employer and we prohibit any discrimination based on sex, disability, origin, sexual orientation, gender identity, age, race, or religion. We believe that our diversity, breadth of experience, and multiple points of view are among the leading factors in our success.

CFM is a signatory of the Women Empowerment Principles.

Nearest Major Market: Manhattan

Nearest Secondary Market: New York City

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