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Overnight Python Data Science Jobs in New York (NOW HIRING)

The Data Science team, a part of the broader StubHub Data organization, is looking for an ... Strong programming and analytical ability with expertise in SQL and Python (TensorFlow, scipy ...

Backed by our award-winning Data Science, Dstillery has earned 24 patents (and counting) for the AI ... You should be ready to learn and work with Python, Google Cloud Platform, Scikit-learn, TensorFlow ...

Director, Data Science

East Hanover, NJ · On-site +1

$194.60K - $312.40K/yr

Proficient in programming languages such as Python, Spark, TensorFlow, and PyTorch * Experience ... Science, Data Strategy, Electrical Transformer, Machine Learning (ML), Master Data Management ...

Backed by our award-winning Data Science, Dstillery has earned 24 patents (and counting) for the AI ... You should be ready to learn and work with Python, Google Cloud Platform, Scikit-learn, TensorFlow ...

Proficiency in high level scripting language, such as Python or R * Understanding of the strategic application of data science methodologies in driving valuable business outcomes for large ...

Proficiency in high level scripting language, such as Python or R * Understanding of the strategic application of data science methodologies in driving valuable business outcomes for large ...

Proficiency in high level scripting language, such as Python or R * Understanding of the strategic application of data science methodologies in driving valuable business outcomes for large ...

D. in Data Science, Computer Science, AI, Statistics, Engineering, Applied Mathematics, or a related field • Proficiency in Python (pandas, numpy, scikit-learn) and SQL; familiarity with R is a ...

Solid background in data science (Python, Pandas, Scikit-learn, PyTorch/TensorFlow) * Experience in graph algorithms and network analysis * Hands-on with data modeling, ETL, and large-scale data ...

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits * Nice to have:

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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 New York? The most popular types of Python Data Science jobs in New York are:
What cities in New York are hiring for Overnight Python Data Science jobs? Cities in New York with the most Overnight Python Data Science job openings:
Data Science Manager

Data Science Manager

StubHub

New York, NY • Hybrid

Other

Medical, Dental, Vision, Retirement

Posted yesterday


StubHub rating

7.0

Company rating: 7.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

2nd of 3 rated ticket sellers


Job description

The Data Science team, a part of the broader StubHub Data organization, is looking for an experienced, senior-level Data Science Manager to lead a growing team (currently 6, ranging from entry level DS to Staff+) that covers a wide range of data science disciplines.

StubHub is the largest secondary ticketing marketplace in the world, generating massive amounts of consumer data that are leveraged to tackle many unique and interesting predictive and inference problems across user acquisition, product recommendations, pricing optimization, ticket fulfillment mitigation, and business forecasting. As a Data Science Manager, you will need to work closely with business leaders and convert their long-term strategic goals into tangible machine learning projects executed by your team at a day-to-day level. Understanding when to provide oversight from a technical perspective, while being able to grow individuals, will be paramount in your team's long-term success.

You will also be responsible for the technical and personal growth of your team members, developing talent density through focused mentorship, strategic career development, and execution excellence. There will be a need for planning of team structure and growth as we put more investment into ML, especially understanding the best ways of building and applying generative AI solutions within our product.

You will be joining at a critical time for the Data Science practice and the company - while the value of this discipline has been established and there's a high performing team in place, we are far from steady state. Key areas of investment from a vision and team planning perspective include establishing new pockets of deep technical expertise (e.g. causal inference, graph ML), advocating for best-in-class ML tooling/platform, and widening the reach of data science company-wide. As a senior leader of this team, you will be in charge of shaping and materializing that vision.

Location: Hybrid (3 days in office/2 days remote) - New York, NY or Century City, CA 

What You'll Do

  • Technical project scoping and planning
  • Partner with cross-functional stakeholders across the business, executives, and data team
  • Technical review and architecture oversight
  • Recruitment and end-to-end talent growth development: Performance reviews, promotion recommendations, 360 feedback, etc
  • Surface infrastructure needs and onboard solutions

What You've Done

  • 8 - 10 years of relevant machine learning/data science in a fast-paced, high growth environment
  • 8 - 10 years of experience managing high performant data science team.
  • Strong programming and analytical ability with expertise in SQL and Python (TensorFlow, scipy, scikit-learn, PyTorch, statsmodels)
  • Experience with modern workflow orchestration used in machine learning, e.g.,Metaflow, ZenFlow, Airflow
  • Nice to Haves
    • Worked at a consumer tech company
    • Experience with GenAI/LLM/Agentic workflows in a production setting
    • Hands-on experience with graph based machine learning and recommendation systems

What We Offer

  • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
  • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
  • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
  • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.