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Intern Python Data Science Jobs in Folsom, CA (NOW HIRING)

Master's degree in data science, computer science, statistics, engineering, business analytics, or ... Strong proficiency with Python, R, SQL, or similar programming and analytics tools. * Proficiency ...

Industry/Sector Not Applicable Specialism Data Science Management Level Director & Summary The ... such as Python and C++ to develop and deploy AI models - Managing complex data analysis and ...

... in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or a closely ... Python, R). โ€ข Excellent communication skills, including the ability to convey complex data ...

Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or ... g., Python, R). * Excellent communication skills, including the ability to convey complex data ...

Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or ... g., Python, R). * Excellent communication skills, including the ability to convey complex data ...

Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or ... g., Python, R). * Excellent communication skills, including the ability to convey complex data ...

Lead Generative AI Data Engineer III

Sacramento, CA ยท On-site

$109K - $144K/yr

Work You'll Do As a Lead AI and Data Science Engineer II on the team, you will be responsible for ... Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow.

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Intern Python Data Science information

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How much do intern python data science jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for intern python data science in Folsom, CA is $24.06, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $26.20 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an intern Python data science, and why are they important?

To excel as an Intern Python Data Science, you should have a solid grasp of Python programming, statistics, and foundational data analysis concepts, typically supported by coursework or academic projects in data science or related fields. Familiarity with tools like Jupyter Notebook, Pandas, NumPy, and basic machine learning libraries such as scikit-learn is commonly expected. Curiosity, problem-solving, and the ability to communicate findings clearly are standout soft skills in this role. These competencies enable interns to effectively support data-driven projects, contribute to team goals, and develop practical experience essential for a future data science career.

What types of projects can I expect to work on as an intern Python data science?

As an Intern Python Data Science, you will typically work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using Python libraries like pandas, NumPy, and scikit-learn. You may be tasked with supporting ongoing research, building data visualizations, or automating data collection processes. Collaboration with data scientists and engineers is common, offering opportunities to learn best practices in code review, version control, and teamwork. These experiences provide a solid foundation for more advanced roles in data science.

What does an intern Python data science do?

An Intern Python Data Science assists data science teams with tasks such as data cleaning, analysis, and visualization, primarily using Python programming. They may work on projects involving data collection, processing, and building simple predictive models. Interns are also expected to learn and apply various data science techniques and tools, often under the guidance of experienced data scientists. This role provides hands-on experience and exposure to real-world data challenges, helping interns develop their technical and analytical skills.

What is the difference between Intern Python Data Science vs Intern Data Analyst?

AspectIntern Python Data ScienceIntern Data Analyst
Required SkillsPython, data analysis, machine learning basicsExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Common TasksData cleaning, modeling, scriptingData reporting, dashboard creation

Intern Python Data Science roles focus on programming, machine learning, and advanced data analysis, often in tech-driven environments. Intern Data Analyst positions emphasize data reporting, visualization, and basic analysis in business settings. While both roles require analytical skills, Intern Python Data Science roles demand coding proficiency, whereas Intern Data Analyst roles focus more on data presentation and interpretation.

What are popular job titles related to Intern Python Data Science jobs in Folsom, CA? For Intern Python Data Science jobs in Folsom, CA, the most frequently searched job titles are:
What job categories do people searching Intern Python Data Science jobs in Folsom, CA look for? The top searched job categories for Intern Python Data Science jobs in Folsom, CA are:
What cities near Folsom, CA are hiring for Intern Python Data Science jobs? Cities near Folsom, CA with the most Intern Python Data Science job openings:
Infographic showing various Intern Python Data Science job openings in Folsom, CA as of June 2026, with employment types broken down into 3% Internship, 69% Full Time, 14% Part Time, 6% Temporary, and 8% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $50,053 per year, or $24.1 per hour.

Reporting Data Scientist

Luster National

Sacramento, CA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 22 days ago


Job description

About the Position
We're seeking a Reporting Data Scientist to support large, complex infrastructure programs, including highways, roads, bridges, transit (rail and bus), international airports, and water/wastewater projects delivered through both traditional and alternative project delivery methods. This role will support enterprise-level project controls and program management functions by developing advanced analytics, predictive models, automated reporting solutions, and executive dashboards that transform complex project, program, financial, cost, schedule, and risk data into actionable business intelligence. The successful candidate will help drive data-informed decision-making across some of the nation's largest infrastructure programs. Based on the source materials, this role will support program-wide analytics, forecasting, reporting automation, and visualization initiatives within a Project Controls organization.
This is a long-term, full-time, on-site position located in Sacramento, CA.
Responsibilities may include, but are not limited to, the following:
  • Develop, maintain, and continuously improve enterprise-level data models, analytics frameworks, reporting workflows, and performance measurement systems.
  • Build predictive, statistical, and forecasting models supporting cost, schedule, risk, and program performance management.
  • Design, develop, and maintain Power BI dashboards, visualizations, and automated reporting solutions for executive leadership and project stakeholders.
  • Analyze large and complex datasets to identify trends, risks, anomalies, performance drivers, and opportunities for process improvement.
  • Partner with project controls, scheduling, cost management, risk management, finance, and program management teams to integrate data from multiple sources and produce unified analytical outputs.
  • Support monthly, quarterly, and executive-level reporting cycles through preparation, validation, and analysis of project and program data.
  • Identify opportunities to automate manual reporting processes and improve data accessibility, quality, and efficiency.
  • Establish and maintain data governance, quality assurance, and validation procedures to support reliable decision-making.
  • Collaborate with project teams and stakeholders to collect, validate, consolidate, and interpret data from multiple systems and platforms.
  • Present analytical findings, dashboard insights, trends, and recommendations to executive management and other stakeholders.
  • Support board-level reporting requirements and strategic program performance initiatives.
  • Contribute to PMIS, reporting, analytics, and business intelligence improvements across major capital infrastructure programs.

Attributes
  • Excellent written and verbal communication and interpersonal skills.
  • Excellent analytical thinking, problem-solving, and data storytelling capabilities.
  • Collaborative mindset that fosters teamwork, trust, positive relationships, and effective coordination across cross-functional stakeholders.
  • Strong organizational skills with the ability to manage multiple priorities and deadlines simultaneously.
  • Strong attention to detail and commitment to accuracy, quality, accountability, and continuous improvement.

Minimum Qualifications
  • Master's degree in data science, computer science, statistics, engineering, business analytics, or related field.
  • 8+ years of experience performing data analytics, business intelligence, reporting, predictive modeling, or data science functions in large infrastructure construction programs, collaborating with (at a minimum) program controls, program scheduling, and program risk management teams.
  • Experience supporting major capital infrastructure, transportation, transit, aviation, water/wastewater, or construction programs.
  • Strong knowledge of project controls, management reporting, business intelligence, data management, and performance measurement methodologies as they relate to heavy civil infrastructure programs.
  • Demonstrated experience developing executive-level reporting, dashboards, analytics, and data visualization solutions.
  • Experience implementing data strategies, analytics workflows, reporting processes, and data governance practices.
  • Experience integrating data from multiple systems and sources to create unified reporting and analytical outputs.
  • Experience developing predictive models, forecasting tools, statistical analyses, and performance metrics.
  • Strong proficiency with Python, R, SQL, or similar programming and analytics tools.
  • Proficiency with Power BI and other dashboarding, visualization, and business intelligence platforms.
  • Proficiency with Microsoft Office Suite/Office 365 (e.g., Outlook, Teams, Word, Excel, PowerPoint, etc.).

Preferred Qualifications
  • Project Management Professional (PMP), Microsoft Power BI Data Analyst, Google Data Analytics, MBA, or similar professional certification.
  • Experience leading analytics initiatives or contributing to analytics/reporting teams supporting major infrastructure programs.
  • Experience supporting project controls, cost management, scheduling, risk management, or PMO functions.
  • Experience developing Kanban-style, Agile, or workflow visualization dashboards.
  • Experience with PMIS, Oracle, Primavera P6, enterprise reporting platforms, or large-scale business intelligence environments.
  • Proficiency with desktop publishing software, Visio, and professional graphics software.

Compensation Details
Expected Salary: $140k-$210k/year ($67-$101/hour). Luster provides the salary range that the company in good faith believes it might offer for this position based on the successful candidate's level of experience, knowledge, skills, abilities, education, certifications, licenses, geographic location, etc. Luster reserves the right to ultimately pay more or less than the posted range depending on circumstances not related to any status protected by local, state, and/or federal law.
Just LOOK at the Benefits We Offer!
  • Unlimited flexible time off
  • Paid holidays
  • Paid parental leave
  • Health, dental, and vision insurance
  • Flexible spending accounts (healthcare and dependent or elder care)
  • Long-term disability insurance
  • Short-term disability insurance
  • Life insurance and accidental death and dismemberment
  • 401(k) plan with guaranteed employer contribution
  • Formal career planning and development program
  • $2,500 annually toward professional development
  • Wellness program with monthly wellness stipend
  • Company cell phone or cell phone plan reimbursement
  • Free personalized meal planning and nutrition support with a registered dietitian
  • Free personal financial planning services
  • Employee assistance program
  • Employee discounts
  • Employee referral bonus

Specific plan details and coverage for each benefit noted above will be provided upon offer. #IN-LNJS
If you wish to be considered for a position where there is not an active job posted, please search for our 'General Application' and apply.
Luster is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to criminal history, race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
All positions may be subject to a background check and drug test once a conditional offer of employment is made for any convictions directly related to its duties and responsibilities, in accordance with all applicable local, state, and/or federal regulations.
This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position.
Luster does not accept unsolicited resumes from any third-party. In the absence of a signed agreement, Luster will not consider or agree to payment of any kind. Any unsolicited resumes presented to Luster personnel, including those submitted to Luster hiring managers, are deemed to be the property of Luster.
Please email hiring@luster.com for accommodations necessary to complete the application process.