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Data Science Project Jobs (NOW HIRING)

Lead the development of a wide variety of large-scale data science projects from the ground up, including framing data problems, identifying clear lines of questioning, uncovering and extracting ...

May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist. Other responsibilities: Provides data ...

Documents requirements for data science and reporting projects. * Supports the development of standard data analyses, reports, and dashboards. * Collaborates with other teams to gather data and build ...

Documents requirements for data science and reporting projects. * Supports the development of standard data analyses, reports, and dashboards. * Collaborates with other teams to gather data and build ...

May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist. Other responsibilities: Provides data ...

Documents requirements for data science and reporting projects. * Supports the development of standard data analyses, reports, and dashboards. * Collaborates with other teams to gather data and build ...

Documents requirements for data science and reporting projects. * Supports the development of standard data analyses, reports, and dashboards. * Collaborates with other teams to gather data and build ...

Lead the development of a wide variety of large-scale data science projects from the ground up, including framing data problems, identifying clear lines of questioning, uncovering and extracting ...

May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist. Other responsibilities: Provides data ...

Documents requirements for data science and reporting projects. * Supports the development of standard data analyses, reports, and dashboards. * Collaborates with other teams to gather data and build ...

May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist. Other responsibilities: • Provides data ...

Documents requirements for data science and reporting projects. * Supports the development of standard data analyses, reports, and dashboards. * Collaborates with other teams to gather data and build ...

Associate Director of Data Science

Columbia, MD · On-site

$58K - $59K/yr

Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data scientists. * Design and implement AI solutions leveraging advanced techniques, including prompt ...

Lead the development of a wide variety of large-scale data science projects from the ground up, including framing data problems, identifying clear lines of questioning, uncovering and extracting ...

Data Science Manager

Irvine, CA · On-site

$119K - $197K/yr

Translate business requirements into actionable data science projects aligned with organizational strategy. * Collaborate cross-functionally to identify data sources, ensure data quality, and deploy ...

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Data Science Project information

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How much do data science project jobs pay per hour?

As of Jun 25, 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 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 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 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 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.

More about Data Science Project jobs
What are the most commonly searched types of Data Science Project jobs? The most popular types of Data Science Project jobs are:
Infographic showing various Data Science Project job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 66% Full Time, 28% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,617 per year, or $57.5 per hour.
Data Science Practitioner

Data Science Practitioner

Accenture Federal Services

Suitland, MD • On-site

Full-time

Posted 11 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

46th of 429 rated business services


Job description

Job Summary:
Accenture Federal Services is dedicated to strengthening the US federal government through technology and innovation. They are seeking a Data Science Practitioner to lead the team in producing intelligence insights by managing big data, driving decision-making, and overseeing data science projects.
Responsibilities:
• Manage, architect and analyze big data in order to build data driven insights and high impact data visualizations
• Drive data-driven decision-making across the organization
• Oversee the end-to-end lifecycle of data science projects, from data collection and preparation to model development and deployment
• Design and implement robust data pipelines, ensuring seamless data flow and accessibility for analytical purposes
• Establish and enforce data governance frameworks, ensuring data integrity, security, and compliance with organizational standards
• Collaborate with cross-functional teams, translating complex data insights into actionable strategies that align with business objectives
• Create a value chain to help address the challenges of acquiring data, evaluating its value, distilling analyzing
• Examine data from multiple sources and share insights which provide competitive advantage
• Act as Subject Matter Expert in area of expertise and enhance Accenture's marketplace reputation
Qualifications:
Required:
• Develop Power BI reports and dashboards, providing insights into key performance indicators (KPIs) and streamlining data-driven decision making for stakeholders
• Experience analyzing existing systems & databases to understand, validate, and document content
• 100% onsite
• Active TS/SCI clearance required
Preferred:
• Good understanding of structured and unstructured data, various file types, data ETL, data pipelines, and ability to document
• Experience with Tableau
• Experience providing IT support as needed
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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