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Overnight Python Data Science Jobs (NOW HIRING)

The data science team is very much applied - their work directly makes its way into real products ... Ability to work with engineering teams using modern software practices (Python, data platforms ...

The data science team is very much applied - their work directly makes its way into real products ... Ability to work with engineering teams using modern software practices (Python, data platforms ...

Iterate to push the boundaries on what problems can be solved through data science • Conduct open ... Python), and scripting languages (Unix shell) as well as solid experience with git • Mastery of ...

Gen AI developer

Irving, TX

$116K - $157K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or related field 7-10+ years of experience developing scalable applications, including AI/ML systemsStrong expertise in Python and ...

Data Scientist

Manhattan, NY · On-site

$88K - $110K/yr

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

Workplace Python coding experience, including a good knowledge of the principal Python Data Science / Machine Learning (ML) library ecosystem. Excellent written and oral communication skills for both ...

Solutions will be developed primarily in Python, integrated with our repositories and workflow ... Partner with DH stakeholders (biotech & breeding, Genome Technology Discovery, Data Science) to ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical ...

... data scientists' analysts and product teams to translate requirements into technical solutions. • Optimize existing data workflows for performance and scalability Participate in code reviews ...

Workplace Python coding experience, including a good knowledge of the principal Python Data Science / Machine Learning (ML) library ecosystem. Excellent written and oral communication skills for both ...

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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 Aug 31, 2026, the average hourly pay for overnight python data science in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 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 are hiring for Overnight Python Data Science jobs?

Cities with the most Overnight Python Data Science job openings:

What are the most commonly searched types of Python Data Science jobs?

The most popular types of Python Data Science jobs are:

What states have the most Overnight Python Data Science jobs?

States with the most job openings for Overnight Python Data Science jobs include:

Vice President, Data Science

Five9

Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Job description

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.
Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.
As Vice President of Data Science, you will lead and grow our in-house data science team. This team is responsible for research, experimentation, data collection and curation, and data analysis that contributes to the performance of Five9's AI products. Tasks include evaluation of and selection of AI agent architectural frameworks, evaluation and comparison of LLM models across commercial and open source choices, model fine-tuning for dedicated tasks, prompt engineering, prompt structure and design, and composite model definitions and evaluations. The scale of Five9 provides a wealth of data that data science team has access to. The data science team is very much applied - their work directly makes its way into real products providing direct customer benefit.
As lead of this team, you will take complete ownership of the technical and operational direction of the organization, including growing to team to meet increased demand for its capabilities.
Key Responsibilities:
  • Technical Direction Setting: As an expert in the leading edge of AI and data science, you will direct the team on the methodologies, practices, algorithms, experiments and processes they perform.
  • Hands On: You are expected to also be hands on, not just a manger, and be directly responsible for some amount of the technical work in addition to directing the team.
  • Organizational Growth: You will be tasked with growing the team, and ensuring we have the right talent to accomplish our goals.
  • Collaborator and Spokesperson: You will act as an internal and external spokesperson for data science, and collaborate with stakeholders across the company. Internally, you will be expected to meet with product managers, executives and estaff, and be able to converse effectively with them. You will also occasionally meet with customers to understand how Five9 products, and the data science behind them, impacts the customers. You are expected to participate in industry activities, including publication of blog posts and papers, along with participation in AI conferences.

Technical Expertise:
  • 12+ years experience in data science or AI applied research, ideally at a best-in-class applied research organization.
  • Deep Expertise in Modern AI/ML
    • Extensive hands-on experience with LLMs, agentic architectures, retrieval-augmented systems, transformers, and composite model pipelines.
    • Strong understanding of commercial and open-source model ecosystems (e.g., OpenAI, Anthropic, Google, Meta, Mistral), including evaluation, benchmarking, and tradeoff analysis.
  • Model Development & Optimization
    • Proven ability to perform fine-tuning, supervised/unsupervised training, prompt engineering, prompt optimization, and model orchestration for real-world use cases.
    • Experience designing evaluation frameworks, experiment methodologies, and robust model comparison workflows.
  • Data Engineering & Curation
    • Expertise in large-scale data collection, labeling, cleaning, and curation pipelines, preferably with conversational or unstructured text data.
    • Familiarity with tools and techniques for data quality assessment, dataset versioning, and data governance.
  • Applied Data Science & Analytics
    • Strong proficiency in statistical analysis, A/B experimentation, causal inference, and performance measurement.
    • Demonstrated success turning data insights into product improvements that drive measurable business outcomes.
  • Software Development & Systems Thinking
    • Ability to work with engineering teams using modern software practices (Python, data platforms, cloud-native environments, APIs, ML Ops tooling).
    • Understanding of production ML systems, deployment patterns, monitoring, and safety/guardrail design.

People & Collaboration Skills:
  • Cross-Functional Partnering
    • Ability to collaborate effectively with product managers, engineering leaders, UX, and GTM teams to translate business needs into data science strategies.
    • Adept at explaining complex technical concepts to executives, customers, and non-technical stakeholders.
  • Communication & Storytelling
    • Exceptional written and verbal communication skills, including ability to publish thought leadership (papers, blog posts) and present at conferences.
  • Team Development & Mentorship
    • Passion for mentoring senior and junior data scientists, fostering technical excellence, and building a culture of experimentation and rigorous thinking.
  • Customer Empathy
    • Experience engaging directly with customers to understand their needs, gather feedback, and translate insights into product or model improvements.

Leadership & Strategic Skills:
  • Vision Setting & Direction
    • Ability to define the data science strategy for AI Agents and customer experience products, aligning with corporate priorities and market opportunities.
  • Hands-On Leadership
    • Comfortable being an active contributor-writing code, running experiments, reviewing research-while simultaneously guiding the team's overall direction.
  • Organizational Scaling
    • Experience hiring, scaling, and structuring high-performing data science teams across multiple geographies.
  • Operational Excellence
    • Ability to build processes for experimentation, model evaluation, data quality management, and continuous delivery of data science innovation into product.
  • Executive Presence & Influence
    • Skilled at influencing E-staff and senior leadership, defending technical decisions, shaping product strategy, and representing data science internally and externally.
  • Ethics, Safety & Risk Awareness
    • Deep understanding of responsible AI principles, privacy considerations, and model safety, including evaluating risks when operating at enterprise scale.

Educational Requirements:
Advanced degree in a quantitative or technical field, such as:
  • Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Applied Mathematics, Electrical Engineering, Computational Linguistics, or a related field.
  • Master's degree in one of the above fields with significant applied industry experience in AI/ML leadership roles.

Work Location: This role is fully remote for candidates who reside outside the 30 mile radius of one of our offices. For candidates who reside within a 30 mile radius of one of our offices, this role is Hybrid and would require 3 days a week (T, W, TH) in office.
As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process.
Additionally, the total compensation package for this position may also include an annual performance bonus, stock, and/or other applicable incentive compensation plans.
Our total reward package also includes:
  • Health, dental, and vision coverage, beginning on the first day of employment. Five9 covers 100% of the employee portion of the health, dental and vision coverage and shares a high portion of the dependent cost. We also offer Short & Long-Term Disability, Basic Life Insurance, and a 401k saving plan with employer matching.
  • Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching and self-guided mindfulness exercises for all covered employees and their covered dependents.
  • Generous employee stock purchase plan.
  • Paid Time Off, Company paid holidays, paid volunteer hours and 12 weeks paid parental leave.

All compensation and benefits are subject to the requirements and restrictions set forth in the applicable plan documents and any written agreements between the parties.
The US base salary range for this role is below.
$233,000-$512,000 USD
Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer.
View our privacy policy, including our privacy notice to California residents here: https://www.five9.com/pt-pt/legal.
Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.