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Weekend Data Science R Jobs in Indianapolis, IN (NOW HIRING)

Strong expertise in data analysis tools and languages (e.g., Python, R, SQL). * Experience with ... Bachelor's degree in Data Science, Statistics, Computer Science, or related field. Master's degree ...

Strong expertise in data analysis tools and languages (e.g., Python, R, SQL). * Experience with ... Bachelor's degree in Data Science, Statistics, Computer Science, or related field. Master's degree ...

Weekend QC Scientist Summary The Weekend QC Scientist supports GMP manufacturing and laboratory ... Perform second-person verifications or peer reviews of data and documentation, as trained and ...

AI Engineer

Carmel, IN · On-site

$152K - $177K/yr

Collaborating with a multidisciplinary team of data scientists, data engineers, and software ... Strong programming skills in Python and R (including libraries like scikit-learn, PyTorch, or ...

... sciences in more than 160 countries and regions. Position Summary The Senior Data Analyst is ... R * Proficient at create presentations and data visualizations within PowerPoint * Exhibit ...

... sciences in more than 160 countries and regions.  Position Summary The Senior Data Analyst is ... R * Proficient at create presentations and data visualizations within PowerPoint * Exhibit ...

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

Partnering with data scientists, engineers, and technology teams to integrate AI into real-time and ... R and Python (required) Appropriate level will be determined based upon experience and knowledge.

Project Lead Data Manager

Indianapolis, IN · Hybrid

$49.50 - $67/hr

Bachelor's degree (BS) or equivalent in a scientific field, or relevant work experience in animal health or a related industry. * Experience: A minimum of 5 years in Clinical Data Management, with ...

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Weekend Data Science R information

See Indianapolis, IN salary details

$35.8K

$117.3K

$187.8K

How much do weekend data science r jobs pay per year?

As of Jul 12, 2026, the average yearly pay for weekend data science r in Indianapolis, IN is $117,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,200.00 and $130,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Weekend Data Science R professionals, and how can they effectively manage project deadlines given a limited work schedule?

Weekend Data Science R professionals often face the challenge of managing complex data analysis projects within a restricted timeframe. Balancing project deadlines with limited availability requires strong time management and clear communication with team members. It's important to set realistic goals for each work session, prioritize tasks that drive the most value, and leverage collaboration tools to stay aligned with colleagues working during weekdays. Building a habit of thorough documentation and regularly syncing with the team ensures that progress continues smoothly, even when not physically present during the standard workweek.

What is a Weekend Data Science R?

A Weekend Data Science R is typically a data scientist or analyst who specializes in using the R programming language to analyze and interpret data, and who works primarily on weekends. This role may be part-time, project-based, or designed for individuals who are balancing other commitments during the week. Weekend Data Science R professionals often handle tasks such as data cleaning, statistical analysis, and creating data visualizations using R. They are valued for their ability to deliver insights and support decision-making processes, often on a flexible schedule. This role is ideal for those who have strong analytical skills and proficiency in R, and who prefer or require weekend work hours.

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

To thrive as a Weekend Data Science R, you need a solid background in statistics, programming (especially in R), and data analysis, often supported by a relevant degree or coursework. Familiarity with data visualization tools, machine learning libraries, and version control systems like Git is commonly required. Excellent problem-solving, time management, and communication skills help you tackle projects independently and convey insights clearly. These skills are crucial for delivering actionable results efficiently while balancing part-time or weekend schedules.
What are the most commonly searched types of Data Science R jobs in Indianapolis, IN? The most popular types of Data Science R jobs in Indianapolis, IN are:
IT Technology Integrator

IT Technology Integrator

AllSTEM Connections

Indianapolis, IN • On-site

$143K/yr

Temporary

Medical, Dental, Vision, Retirement

Posted 22 days ago


Job description

We are seeking a data-driven storyteller to join our team as a Senior Learning Analytics Specialist. In this role, you will bridge the gap between complex data engineering and actionable business strategy. You will be responsible for designing, developing, and maintaining sophisticated visualization solutions that measure the impact of our learning and development initiatives.
The ideal candidate is a Power BI expert with a strong background in data modeling and a passion for human performance technology. You will play a pivotal role in translating learning data from platforms like SAP SuccessFactors and Workera into compelling visual narratives that drive organizational growth in a regulated pharmaceutical environment.
Key Responsibilities
Dashboard Development: Lead the end-to-end design and implementation of high-impact Power BI dashboards, utilizing advanced DAX programming and data modeling.
Data Engineering: Manage ETL processes and architecture using modern tools (Microsoft Fabric/Azure) to ensure data integrity and accessibility.
Learning Ecosystem Integration: Analyze and report on data from LMS platforms (SuccessFactors), LRS environments (xAPI/SCORM), and skill-assessment tools.
Strategic Insight: Translate complex datasets into "story-driven" visualizations that allow non-technical stakeholders to see the direct business impact of learning programs.
Innovation & AI: Leverage current AI technologies (Copilot, ChatGPT) and programming (Python/SQL) to automate workflows and enhance analytical capabilities.
Cross-Functional Collaboration: Partner with global teams and stakeholders to manage multiple projects, influencing data-driven decision-making across the organization.
Qualifications
Minimum Requirements
Education: Bachelor's degree in Data Science, Business Intelligence, Computer Science, or a related field.
Experience: 3+ years of expert-level Power BI development (DAX, Power Query).
Technical Proficiency: Strong grasp of data modeling, ETL, and modern data engineering (Azure/Fabric).
Portfolio: A proven track record of creating visually compelling, business-centric dashboards.
Preferred Skills & Experience
Advanced Education: Master's degree (M.S.) in a specialized analytics field.
Industry Knowledge: Experience in the pharmaceutical industry or a similarly regulated environment.
Learning Tech: Familiarity with xAPI, SCORM, SAP SuccessFactors, and platforms like Workera or Smartsheet.
Programming: Proficiency in SQL, Python, or R.
Soft Skills: Strong "growth mindset" with the ability to influence stakeholders and manage complex, simultaneous projects. Equal Opportunity Employer / Disabled / Protected Veterans
The Know Your Rights poster is available here:
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf
The pay transparency policy is available here:
https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.
We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.
AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program.
https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf
We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Additional Skills
(none specified)
AllSTEM Representative Contact Info
Account Executive:
Nichols
Branch Phone:
(909) 244-1777
Location:
Ontario, CA