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Weekend Data Science R Jobs in Indiana (NOW HIRING)

NiSource

Manager Data and Analytics

Merrillville, IN

$133.40K - $200.10K/yr

... science, data analysis, business analysis * 3+ years of experience utilizing SQL or other data extraction language as well as 1 other programing language (Python, R, Java, etc.) * 2+ years of ...

Staffingine LLC

DWD - Data Analyst

Indianapolis, IN · On-site

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. * Proficiency in data analysis tools such as SQL, Python, R, or Excel. * Experience with data ...

CSpring

Sr. Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/yr

Bachelor's degree in in computer science, software engineering or a closely related field; a Master ... Proficiency in at least one programming language, such as Python or R * Experience with a BI ...

STI

Data Analyst

Indianapolis, IN · On-site

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. Proficiency in data analysis tools such as SQL, Python, R, or Excel. Experience with data visualization ...

CSpring

Senior Data Consultant

Indianapolis, IN · On-site

... science in business today. Preferred Skills: * Experience with other data and analytics tools and ... Python or R development experience. * Business Intelligence architecture experience. * Project ...

Jobs for Humanity

Postdoctoral Fellows

Bloomington, IN · On-site

$45.30K - $61.50K/yr

Postdoctoral Fellow in Biostatistics and Health Data Science Specific Title Appointment Type ... The ideal individual will have a strong history in coding in R, SASS, and/or Python, Bayesian ...

Jobs for Humanity

Postdoctoral Fellows

Bloomington, IN

$42.70K - $58K/yr

Postdoctoral Fellow in Biostatistics and Health Data Science Specific Title Appointment Type ... The ideal individual will have a strong history in coding in R, SASS, and/or Python, Bayesian ...

Keystone Cooperative

ML Engineer

Indianapolis, IN · On-site

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 ...

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Weekend Data Science R information

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 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 cities in Indiana are hiring for Weekend Data Science R jobs? Cities in Indiana with the most Weekend Data Science R job openings:
Weekend Data Science R jobs near you

Data Engineer (No Sponsorship Available)

Heritage Construction + Materials

Indianapolis, IN • On-site

$109.40K - $131.40K/yr

Full-time

Posted 23 days ago

Job description

Build Your Career at Heritage Construction + Materials!
We are seeking a highly skilled Data Engineer to support the design, development, and implementation of our cloud data platform. This role is ideal for a Data Engineer who has experience in Databricks, cloud architecture, advanced data pipeline engineering, and building scalable, production-ready systems that support analytics, and enterprise-wide decision intelligence, with a potential to build and support AI/ML in the future.
In this role, you will architect cloud data solutions, optimize data operations, and guide the evolution of our modern data ecosystem. You will work closely with cross-functional partners, including finance and operations, to deliver high-impact, reliable, and efficient data products and strategic data initiatives.
This position requires U.S. work authorization
Essential Functions
  • Design, implement, and maintain scalable data pipelines within a cloud data platform (Azure preferred)
  • Build, optimize, and manage Databricks clusters, ensuring performance, cost efficiency, and reliable job execution
  • Develop and maintain Delta Lake tables, pipelines, and storage patterns to ensure data quality, versioning, and performance
  • Integrate Databricks with Azure services such as Azure Data Factory, ADLS, and Azure DevOps
  • Support the implementation of a new cloud-based data warehouse, defining architecture, governance, and standards
  • Build and automate CI/CD pipelines for data workflows using Azure DevOps
  • Design and implement monitoring solutions using Databricks monitoring tools, Azure Log Analytics, or custom dashboards
  • Collaborate with business and technical stakeholders to identify high-value data engineering and analytics opportunities and contribute to data governance initiatives
  • Apply modern data engineering best practices to support advanced use cases involving NLP, predictive analytics, and automation
  • Additional duties and responsibilities as assigned, including but not limited to continuously growing in alignment with the Company's core values, competencies, and skills.

Education Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field required

Experience Qualifications
  • 3+ years of experience in data engineering or cloud data architecture
  • Expertise in Databricks or Snowflake Cloud Data Platforms
  • Expertise with programming languages such as Python and/or SQL
  • Experience with Python Data Science Libraries (PySpark, Pandas, etc.)
  • Experience with Test Drive Development (TDD)
  • Automated CI/CD Pipelines
  • Linux / Bash / Docker
  • Database Schema Design and Optimization
  • Experience working in a cloud environment (Azure preferred) with strong understanding of cloud data architecture
  • Experience with workflow orchestration (e.g., Databricks Jobs, or Azure Data Factory pipelines)

Skills and Abilities
  • Strong analytical and problem-solving skills
  • Experience with programming languages such as Python, Java, R, or SQL
  • Experience with Databricks or Snowflake Cloud Data Platforms
  • Knowledge of statistical analysis and data visualization tools, such as PowerBI or Tableau
  • Proficient in Microsoft Office

About Heritage Construction + Materials
Heritage Construction + Materials (HC+M) is part of The Heritage Group, a privately held, family-owned business headquartered in Indianapolis. HC+M has core capabilities in infrastructure building. Its collection of companies provides innovative road construction and materials services across the Midwest. HC+M companies, including Asphalt Materials, Inc., Evergreen Roadworks, Milestone Contractors and US Aggregates, proudly employ 3,000 people at 68 locations across seven states. Learn more at www.heritagebuilds.com.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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