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Five9

OR

As Vice President of Data Science, you will lead and grow our in-house data science team. This team ... Ability to work with engineering teams using modern software practices (Python, data platforms ...

Five9

Vice President, Data Science

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 ...

Five9

Vice President, Data Science

San Ramon, CA

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 ...

SynergisticIT

Python Programmer (Remote)

Fishers, IN · On-site

SynergisticIT is looking for candidates interested in Java, Spring Boot, full-stack development, APIs, SQL, Git, DevOps basics, Python, data analytics, data science, and ML/AI tracks. This ...

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How much do python data science jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for 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 are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with strong skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to earn higher salaries.

What are typical day-to-day responsibilities in a Python Data Science role?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in data science roles, due to its extensive libraries such as Pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science field, often complemented by knowledge of SQL and data visualization tools.

What is a Python Data Science job?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science at various ages. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and automation. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.
More about Python Data Science jobs
What cities are hiring for Python Data Science jobs? Cities with the most 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:
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Python Data Science jobs near you
Infographic showing various Python Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Senior/Manager Data Science & Analytics

Senior/Manager Data Science & Analytics

Two95 International Inc.

New York, NY • On-site

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Senior/Manager Data Science & Analytics

Location: New York, NY

Duration: 6 Months + Extension

No of positions: 2 (1 senior consultant and 1 Manager)

Requirements:

3+ years of experience with campaign targeting, segmentation, test design/learning plans, reporting and optimization of:

CRM channels (email, Push Notifications)

Engagement data (email opens/clicks, push notifications taps, web visits and clickstream)

Account data (first and 3rd party), including demographics

Transactional data (product registrations, eComm, offer redemption)

Website/mobile (Adobe/Google Analytics)

Data science language skills:

SQL

Data visualization: advanced Excel, Tableau, Power BI

Does NOT need R, Python, Data modeling, Data mining, etc.

Customer database experience will be very helpful

Note: If interested please send your updated resume and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us.

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About TWO95 International

Sourced by ZipRecruiter

At TWO95 International, we believe it is imperative that a hiring company is assured of procuring the right candidate to fill a job requirement. We have an extensive local and International network, and a fully digitalized sourcing approach that allows us to find a candidate best suited for the job. Furthermore, we strive to secure well matched opportunities that align with the personal and career aspirations of our candidates.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Cherry Hill, NJ, US

Year founded

2009

Social media

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