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Weekend Data Science Jobs in Indiana (NOW HIRING)

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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 Science Associate

Data Science Associate

University of Notre Dame

Notre Dame, IN • On-site

$57K - $58K/yr

Full-time

Posted 15 days ago


University Of Notre Dame rating

7.2

Company rating: 7.2 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

338th of 546 rated colleges and universities


Job description

Company Description

The University of Notre Dame is more than a workplace; it is a vibrant, mission-driven community where every employee is valued and supported. Rooted in a tradition of excellence and inspired by our Catholic character, Notre Dame is committed to fostering an environment of care that nurtures the whole person-mind, body, and spirit. Here, you will find a deep sense of belonging, a culture that prioritizes well-being, and the opportunity to grow your career while being a force for good in the world. Whether contributing to world-class research, shaping the student experience, or supporting the University's mission in other ways, you will be part of a dedicated team working to make a meaningful impact on campus and beyond. At Notre Dame, your work matters, and so do you!

Job Description

Notre Dame Athletics develops and challenges each student-athlete to pursue excellence and serve as a force for good in the world. Our vision is to lead collegiate athletics by defining the integrated student-athlete experience and forming champions. To do this, we are eager to attract, recruit, develop and retain individuals who positively contribute to a collaborative, connected culture where all may thrive.

As a prospective member of Notre Dame Athletics, we invite you to apply if you have a shared purpose for our distinctly integrated student-athlete experience, an unrivaled passion for people who propel a dynamic and high performing organization, and a proven record of success in your field.

The Data Science Associate will work at the intersection of data engineering and analytics, contributing to data processing, cleaning, and analysis in an agile manner across all domains of revenue efforts, with an emphasis on revenue generation, ticketing, marketing, content and partnerships. This role will leverage data engineering and analytical expertise to ensure data-driven decision-making across the Notre Dame Athletics revenue and business areas. Responsibilities include diagnosing system issues, refining code, and conducting functional testing to resolve application production challenges.

The Associate will collaborate closely with the Senior Associate AD for Revenue, Partnerships & Marketing and their team, the Back-End Database Engineer, Data Analytics Associate, and other functional area leaders to ensure seamless integration and functionality of data-driven revenue generation and business intelligence solutions.

Responsibilities & Duties.

  • Collaborate with the Back-End Database Engineer to seamlessly integrate data-driven solutions into existing and new systems, while partnering with revenue, ticketing, marketing, content and partnership staffs to ensure analytics tools align with and adapt to the evolving needs of Notre Dame Athletics.
  • Design, build, and maintain reliable data pipelines that support revenue, ticketing, marketing, content and partnership analytics. 
  • Aligned with departmental best practices, implement and maintain data quality checks, logging, and monitoring to ensure accuracy and reliability of revenue-related datasets. 
  • Issue optimized queries for use in stakeholder-facing tools like dashboards and other reporting mediums. Develop insights and build tools to address current and new revenue generating opportunities, enhance data accessibility, and support the revenue and external affairs teams. 
  • Apply analytical expertise and programming skills to interpret and visualize data across all departmental needs of revenue-focused efforts (e.g., ticketing, partnerships, marketing, digital, fan experience, etc.). 
  • Partner with functional leaders to shape metrics, definitions, and data models that drive actionable decision- making. 
  • Facilitate internal research projects that contribute to novel and innovative revenue growth. 
  • Other duties as assigned
Qualifications
  • Education Qualifications: Bachelor's degree (4 years)
  • At least 3 years of professional experience
  • Degree Qualifications: Bachelor's degree in a data science related field; graduate-level training preferred.
  • Skill Qualifications:
    • Highly proficient with multiple data systems and experience in a variety of programming languages (Java, SQL, Python).
    • Proven experience with data in various forms (such as relational SQL, NoSQL, JSON, unstructured data environments).
    • Knowledge and skills required to formulate and pursue impactful questions regarding revenue generation, ticketing, marketing, CPM, CRM and partnerships.
    • Strong organizational skills, intellectual curiosity, stress tolerance, ability to handle uncertainty, and persistent desire to start and complete projects.
    • Exceptional verbal and written communication skills with the ability to dynamically adapt messaging to a diverse group of stakeholders.
    • Broad understanding of / and interest in sports business; Nights and weekends required at times.
Additional Information
  • Deadline to Apply (subject to change): Sunday, July 12th
  • Salary: up to 85K, commensurate with experience

The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, national or ethnic origin, sex, disability, veteran status, genetic information, or age in employment. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and complies with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a). We strongly encourage applications from candidates attracted to a university with a Catholic identity.


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