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Data Science Project Jobs (NOW HIRING)

Data Science Project Manager

Syracuse, NY · On-site

$51.25 - $69.25/hr

Hybrid Schedule: 1 day in office, 4 days working from home. 3-round interviews * Virtual 30-minute screen to get to know each other and assess fit/interest * In-person 60-minute technical panel ...

Own assigned data science projects and major workstreams from analytical planning through validation and delivery. * Develop project plans and coordinate reviews, dependencies, handoffs, timelines ...

Own assigned data science projects and major workstreams from analytical planning through validation and delivery. * Develop project plans and coordinate reviews, dependencies, handoffs, timelines ...

Own assigned data science projects and major workstreams from analytical planning through validation and delivery. * Develop project plans and coordinate reviews, dependencies, handoffs, timelines ...

Document methodologies and processes to ensure that data science projects are scalable and sustainable. * Assist in the data governance process to ensure data accuracy and integrity. Requirements

Own assigned data science projects and major workstreams from analytical planning through validation and delivery. * Develop project plans and coordinate reviews, dependencies, handoffs, timelines ...

New

Data Science Fellow

Chicago, IL · On-site

$51K - $87K/yr

You will be responsible for data science projects across the healthcare domains of clinical & operations, supply chain, pharmacy, and healthcare strategy.You will work with executive mentor(s) and ...

Data Science Fellow

Chicago, IL · On-site

$51K - $87K/yr

You will be responsible for data science projects across the healthcare domains of clinical & operations, supply chain, pharmacy, and healthcare strategy. You will work with executive mentor(s) and ...

Document analyses, methodologies, and project findings. * Participate in team meetings, knowledge-sharing sessions, and technical discussions. * Learn and apply best practices in data science ...

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

Participate in the end-to-end data science project lifecycle - data mining and exploration, model development and evaluation, production deployment, measurement, and tracking * Perform time-series ...

Lead and execute complex data science projects that directly advance our drug development portfolio * Develop and implement sophisticated models for therapeutic hypothesis evaluation, including ...

Data Science Manager

$160K - $170K/yr

Own end-to-end delivery of high-impact data science projects - from ambiguous business request to production-ready system. * Design and maintain data pipelines, data models, and governance standards ...

Document analyses, methodologies, and project findings. * Participate in team meetings, knowledge-sharing sessions, and technical discussions. * Learn and apply best practices in data science ...

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Data Science Project information

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How much do data science project jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for data science project in the United States is $57.51, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $67.31 per hour, depending on experience, location, and employer.

What is a data science project?

A Data Science Project is a structured process in which data scientists use statistical, analytical, and machine learning techniques to extract insights or solve problems using data. Such projects typically involve steps like data collection, data cleaning, exploratory data analysis, modeling, and communicating results. The goal can range from predicting trends and automating tasks to uncovering hidden patterns in data. Successful data science projects often require collaboration between domain experts, data engineers, and analysts to ensure the solutions are practical and actionable.

What are some common challenges faced when managing a data science project, and how can they be addressed?

Managing a data science project often involves challenges such as unclear project objectives, data quality issues, and aligning technical work with business goals. Communication between data scientists, stakeholders, and IT teams is crucial to ensure everyone is on the same page regarding expectations and deliverables. Establishing clear project milestones, maintaining thorough documentation, and validating data sources early in the process can help mitigate these issues. Regular check-ins and agile practices also support adaptability as project requirements evolve.

What are the key skills and qualifications needed to thrive in data science project roles, and why are they important?

To thrive in Data Science Project roles, you need a solid background in statistics, programming (often Python or R), and knowledge of data modeling, typically supported by a relevant degree or coursework. Familiarity with tools like Jupyter Notebooks, SQL, machine learning libraries (such as scikit-learn or TensorFlow), and sometimes cloud platforms is common. Strong problem-solving abilities, effective communication, and collaboration skills help translate complex findings into actionable business insights. These skills ensure data-driven projects are executed efficiently, results are understood by stakeholders, and organizational goals are met.

What is the difference between Data Science Project vs Data Analyst?

AspectData Science ProjectData Analyst
Required CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like Certified Data Scientist are commonOften requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Data Analyst Associate are common
Work EnvironmentProject-based, involving data collection, cleaning, modeling, and presentation; often in tech, finance, or healthcare industriesFocuses on data reporting, visualization, and insights generation; works across various industries
Employer & Industry UsageUsed in organizations aiming to develop predictive models and advanced analyticsUsed in organizations needing routine data reporting and business insights

In summary, a Data Science Project involves developing complex models and analytics, often requiring advanced skills and certifications, while a Data Analyst focuses on interpreting data and creating reports for business decision-making. Both roles are essential but differ in scope and technical depth.

What projects can I do for data science?

Data science projects can include analyzing datasets to uncover insights, building predictive models, developing data visualizations, or working on machine learning algorithms. These projects help demonstrate skills in programming, statistics, and tools like Python, R, or SQL, and are valuable for building a portfolio or gaining practical experience.
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What are the most commonly searched types of Data Science Project jobs?

The most popular types of Data Science Project jobs are:

What are popular job titles related to Data Science Project jobs?

For Data Science Project jobs, the most frequently searched job titles are:

Infographic showing various Data Science Project job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $119,617 per year, or $57.5 per hour.

Data Science Project Manager

Syracuse, NY • On-site

1 point system
IT Services • 51 - 200 employees

$51.25 - $69.25/hr

Contractor

Posted 19 days ago


Job description

Hybrid Schedule: 1 day in office, 4 days working from home.

3-round interviews

• Virtual 30-minute screen to get to know each other and assess fit/interest

• In-person 60-minute technical panel interview

• Take-home exercise followed by presentation of results/approach