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Data Science Project Jobs (NOW HIRING)

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI · On-site

$77.50K - $108.50K/yr

Leads and drives the execution of data science projects including predictive modeling, natural language processing. * Applies mathematical, problem-solving, and coding skills to manage big data ...

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI · On-site

$77.50K - $108.50K/yr

Leads and drives the execution of data science projects including predictive modeling, natural language processing. * Applies mathematical, problem-solving, and coding skills to manage big data ...

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI

$77.50K - $108.50K/yr

Leads and drives the execution of data science projects including predictive modeling, natural language processing. * Applies mathematical, problem-solving, and coding skills to manage big data ...

6sense

Manager of Data Science

Seattle, WA · Remote

Coursework/Training Data science or project management * 1 year Experience in the Healthcare field. * 1 year Experience in project management. * Certifications in data science, project management or ...

Software Technology Inc

Data Scientist

Scottsdale, AZ · On-site +1

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 ...

New

OneMagnify

Manager, Data Science

Detroit, MI

The Manager of Data Science is responsible for coordinating the execution of end-to-end data science projects, from scoping and modeling to operationalization and insight delivery. You will partner ...

OneMagnify

Manager, Data Science

Detroit, MI · On-site

The Manager of Data Science is responsible for coordinating the execution of end-to-end data science projects, from scoping and modeling to operationalization and insight delivery. You will partner ...

Software Technology Inc

Data Science Engineer

Dallas, TX · Hybrid

$113.70K - $136.60K/yr

... Data Science Projects Provide L3 engineering support and lead the delivery of infrastructure solutions on the platform. Minimum Qualifications: Ideal candidate should have 5+ years of prior ...

BranchLab

Manager of Data Science

Boulder, CO · On-site

... projects into products, and the ability to evangelize data science and create vision and motivation ... You will work closely with cross-functional leaders to define and execute on our product strategy.

Formation Bio

Director, Data Science

Boston, NY · On-site

$235K - $307K/yr

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

Brooksource

Lead Data Scientist

Philadelphia, PA · On-site

$163K - $173K/yr

Champion and implement best practices for the full data science lifecycle. Ensure project execution aligns with the CRISP-DM methodology and that all projects adhere to the principles of the NIST AI ...

campus4tech

Data Scientist

Manhattan, NY

Lead end-to-end data science projects using agile and iterative approaches. * Develop and deploy AI/ML models, including propensity modeling. * Drive data engineering requirements to support model ...

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How much do data science project jobs pay per hour?

As of Jun 3, 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:
What job categories do people searching Data Science Project jobs look for? The top searched job categories for Data Science Project jobs are:
Data Science Project jobs near you
Infographic showing various Data Science Project job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $119,617 per year, or $57.5 per hour.
Data Science Engineer

Data Science Engineer

Foley & Lardner LLP

Milwaukee, WI • On-site

$77.50K - $108.50K/yr

Full-time

Posted 6 days ago

Job description

Overview
Foley & Lardner LLP is a great place to work because of what we do and how we do it. Here, your unique perspectives, experiences, and abilities will be embraced and developed, so you can excel. Being a part of Foley means having the opportunities and resources necessary to gain experience, advance professional goals, and forge meaningful connections. It's a place where you can build your career and enjoy professionally satisfying work. We have over 2,300 people who are #HappyatFoley, and we think you will be too.
Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and Data Science team. The right candidate will be responsible for all aspects of selected data science (including Data Mining, AI, Machine Learning) related Technology initiatives for the firm, from proposal and requirements definition to project planning and implementation, working with both the requesting party and Technology team using a variety of tools. This position requires comprehensive knowledge of formal project skills and will provide a proactive interface between internal clients and the Technology team to ensure effective definition of a delivery of data science initiatives.
Responsibilities
  • Leads and drives the execution of data science projects including predictive modeling, natural language processing.
  • Applies mathematical, problem-solving, and coding skills to manage big data, extracting valuable insights.
  • Uses data mining or extracting tools to find usable data from valuable data sources.
  • Makes use of machine learning tools to select features, create and optimize data classifiers.
  • Performs preprocessing of structured and unstructured data.
  • Assists with Data taxonomy development and maintain our taxonomy for legal data (e.g., taxonomy clean up, SALI Taxonomy implementation).
  • Collaborates with firm leadership to identify strategic goals related to data utilization and implement data strategy components in collaboration with Business Intelligence.
  • Collaborates with Knowledge Management, Business Intelligence and Competitive Intelligence to identify strategic goals related to legal team data utilization.
  • Helps to develop strategies for best practices on data science projects.
  • Sets and manages project milestones and dates.
  • Performs other related duties as assigned.
  • Provides guidance and best practice advice to data science interns.

Qualifications
  • Bachelor's Degree required; Master's degree in Data Science, Computer Science, Software Engineering or similar related field of study desirable
  • Minimum of one (1) year of relevant technology experience required
  • Working knowledge of software development and scripting languages such as Python, C#, JavaScript, HTML
  • Ability to program un-assisted by LLMs if needed
  • Proficient with prompting and working with LLMs
  • Working knowledge with core Python packages used for machine learning such as Pandas, scikit-learn, PyTorch, MLflow, matplotlib, and numpy
  • Knowledge of developing applied AI applications with packages such as langchain or through custom LLM app pipelines
  • Basic understanding of developing within or integrating with cloud environments such as Azure or AWS
  • Office 365 application proficiency (Outlook, Word, Excel, PowerPoint and Teams)
  • Experience with data analysis and reporting
  • Experience with Dev Ops
  • Knowledge of SQL and data mining tools
  • Strong written and verbal communication and customer service skills, along with experience using advanced tools for effective communication
  • Must be able to work independently and in a team environment to prioritize and perform multiple duties simultaneously while maintaining superior attention to detail, accuracy, and organization

In support of transparency and equity in the workplace, Foley provides salary ranges for all positions. The figures below represent the full compensation range of this position. The actual offered amount will be between the range minimum and midpoint based on the following factors: education, experience, geographic market, and internal pay equity at Foley.
-Milwaukee - $77,500 to $108,500

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