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Weekend Data Science Jobs in Indiana (NOW HIRING)

AI and Data Science Engineer III

Indianapolis, IN · On-site

$109K - $131K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior ...

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field • Databricks: Hands-on experience with Databricks and Apache Spark for large-scale data ...

AI and Data Science Engineer III

Indianapolis, IN · On-site +1

$109K - $131K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

Stay up to date with the latest trends and technologies in data science and machine learning. * Ability to work independently and collaborate as part of a team * Effective written and verbal ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

New

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

New

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Leverage advanced analytics and data science to solve complex business problems. Build analytical machine learning solutions that predict and influence customer operating experience. Partner with ...

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Leverage advanced analytics and data science to solve complex business problems. Build analytical machine learning solutions that predict and influence customer operating experience. Partner with ...

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Leverage advanced analytics and data science to solve complex business problems. Build analytical machine learning solutions that predict and influence customer operating experience. Partner with ...

Leverage advanced analytics and data science to solve complex business problems. Build analytical machine learning solutions that predict and influence customer operating experience. Partner with ...

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Leverage advanced analytics and data science to solve complex business problems. Build analytical machine learning solutions that predict and influence customer operating experience. Partner with ...

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Weekend Data Science information

What are the key skills and qualifications needed to thrive as a Weekend Data Scientist, and why are they important?

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What is a Weekend Data Science job?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What are some typical challenges faced by data scientists working specifically on weekends, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

What are the most commonly searched types of Data Science jobs in Indiana? The most popular types of Data Science jobs in Indiana are:
What cities in Indiana are hiring for Weekend Data Science jobs? Cities in Indiana with the most Weekend Data Science job openings:
Data Scientist

$74K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


U.S. Department Of Homeland Security rating

7.8

Company rating: 7.8 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

84th of 275 rated public sector bodies


Job description

Organizational Location: This position is with the Department of Homeland Security, within U.S. Customs and Border Protection, Office of Human Resources Management, People Analytics Division, in the following locations:
  • Indianapolis, IN
  • Minneapolis, MN
  • Washington, D.C.
Salary: Salary listed reflects the rest of U.S. scale and, if applicable, will be adjusted to meet the locality pay or cost of living expenses of the duty location upon selection.Qualifications:Basic Requirements:

Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.

or

Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

AND
You qualify for this position if you meet the basic requirement listed above and possess the experience as described below:
Experience: You qualify for the GS-11 grade level if you possess 1 year of specialized experience equivalent to at least the next lower grade level, performing duties such as:
  • Participating in the use of data science techniques to assist in processing and extracting insights from structured and unstructured data using statistical software and programming languages such as R or Python.
  • Assisting with identifying and addressing statistical problems in data collection and summarization processes by following established procedures.
  • Supporting the creation of basic dashboards for analytical and data-related projects using tools such as Power BI, Tableau, or Qlik.
  • Utilizing foundational data science concepts, including introductory machine learning or statistical algorithms, to assist in producing insights that inform organizational activities.
  • Assisting in the preparation of briefings, presentations, and technical reports to communicate technical and analytical findings to audiences with varying technical backgrounds.

Experience: You qualify for the GS-12 grade level if you possess 1 year of specialized experience equivalent to at least the next lower grade level, performing duties such as:
  • Assisting in the application of data science techniques to process and extract insights from structured and unstructured data using statistical software and programming languages such as R or Python.
  • Supporting the resolution of statistical problems encountered in data collection and summarization processes by applying established methods and recommending improvements.
  • Contributing to the development and maintenance of dashboards for analytical and data related projects using tools such as Power BI, Tableau, or Qlik, with oversight from higher-level analysts.
  • Applying established data science concepts, including basic machine learning or statistical algorithms, to generate insights that support organizational decision making.
  • Preparing and delivering technical and analytical findings through briefings, presentations, and technical reports to audiences with varying levels of technical expertise, with review by senior staff.

Experience: You qualify for the GS-13 grade level if you possess 1 year of specialized experience equivalent to at least the next lower grade level, performing duties such as:
  • Applying data science techniques to process and extract insights from structured and unstructured data using statistical software and programming languages such as R or Python.
  • Solving statistical problems that occur in data collection and summarization processes.
  • Creating dashboards, using solutions such as Power BI, Tableau, or Qlik, on analytical and data-related projects.
  • Leveraging advanced data science concepts, including machine learning or statistical algorithms to produce insights that improve organizational outcomes and decision making.
  • Communicating technical and analytical findings through briefings, presentations, and technical reports to individuals with varying levels of technical expertise.

NOTE: Your resume must explicitly indicate how you meet this requirement, otherwise you will be found ineligible. Please see the "Required Documents" section below for additional resume requirements.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
You must meet all qualification requirements, including education if applicable to this position, subject to verification at any stage of the application process by 06/10/2026.
The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, Non-career SES or Presidential Appointee employee in the Executive Branch, you must disclose this information to the Human Resources Office.
Background Investigation: U.S. Customs and Border Protection (CBP) is a federal law enforcement agency that requires all applicants to undergo a thorough background investigation prior to employment in order to promote the agency's core values of vigilance, service to country, and integrity. During the screening and/or background investigation process, you will be asked questions regarding any felony criminal convictions or current felony charges, the use of illegal drugs (e.g., marijuana, cocaine, heroin, LSD, methamphetamines, ecstasy), and the use of non-prescribed controlled substances including any experimentation, possession, sale, receipt, manufacture, cultivation, production, transfer, shipping, trafficking, or distribution of controlled substances. For additional information on the preemployment process, review the following link: Applicant Resources | CBP Careers
Residency: There is a residency requirement for all applicants not currently employed by CBP. Individuals are required to have physically resided in the United States or its protectorates (as declared under international law) for at least three of the last five years. If you do not meet the residency requirement and you have been physically located in a foreign location for more than two of the last five years, you may request an exception to determine if you are eligible for a residency waiver by meeting one or more of the following conditions:
  • Working for the U.S. Government as a federal civilian or as a member of the military
  • A dependent who was authorized to accompany a federal civilian or member of the military who was working for the U.S. government
  • Participation in a study abroad program sponsored by a U.S. affiliated college or university
  • Working as a contractor, intern, consultant or volunteer supporting the U.S. government
Probationary Period: All employees new to the federal government must serve a one year probationary period during the first year of his/her initial permanent federal appointment to determine fitness for continued employment. Current and former federal employees may be required to serve or complete a probationary period.Education:Please see the Qualifications and Required Documents sections for more information if education is applicable to this position.Employment Type: OTHER

What U.S. Department Of Homeland Security employees say

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Benefits

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U.S. Department of Homeland Security logo

About U.S. Department of Homeland Security

Sourced by ZipRecruiter

The US Department of Homeland Security (DHS) is a federal agency operating within the government services industry in Washington, DC, US. Established in 2003, the DHS is directly responsible for public security, roughly comparable to the interior or home ministries of other countries. Its main responsibilities include protecting the United States from and responding to terrorist attacks, man-made accidents, and natural disasters. Through its more than 20 component agencies including Coast Guard, Customs and Border Protection, Immigration and Customs Enforcement, it ensures the safety of the US through numerous programs and initiatives. The DHS upholds a core value system with the mission of safeguarding the American people, our homeland, and values. Notably, the DHS plays a critical role in the spectral range of activities to prepare, prevent, and respond to possible threats to the US.

Industry

Public administration

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

2003