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Weekend Data Science Jobs in Indiana (NOW HIRING)

Socket.dev

Data Scientist

Indianapolis, IN · On-site

$110 - $170/hr

Partner with business groups to understand pharma-specific problems and translate them into data science approaches * Build and validate ETL/data pipelines as needed to support modeling and ...

RR

Health Data Science/AI Associate

Indianapolis, IN · On-site

$56K - $56K/yr

  • Life

  • Retirement

  • PTO

POSITION PURPOSE Working alongside experienced data engineers, analysts, investigators, and scientists, associates contribute directly to meaningful research projects while developing technical ...

CSAA

  • Retirement

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

Roche

Expert Data Scientist

Indianapolis, IN

$129K - $240K/yr

Identify high-impact data science use cases, develop and implement innovative solutions to drive business impact and develop state-of-the-art analytical capabilities to address identified needs.

Roche Holding AG

Expert Data Scientist

Indianapolis, IN · On-site

$129 - $240/hr

Identify high-impact data science use cases, develop and implement innovative solutions to drive business impact and develop state-of-the-art analytical capabilities to address identified needs.

New

Munich Re

Data Scientist

Fishers, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Munich Re

Data Scientist

Indianapolis, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Johnson & Johnson

Data Scientist, DePuy Synthes

Warsaw, IN · On-site

  • Retirement

  • PTO

Data Science Job Category: Scientific/Technology All Job Posting Locations: Palm Beach Gardens, Florida, United States of America, Raynham, Massachusetts, United States of America, Warsaw, Indiana ...

Jj

Data Scientist, DePuy Synthes

Warsaw, IN · On-site

  • Retirement

  • PTO

Data Science Job Category: Scientific/Technology All Job Posting Locations: Palm Beach Gardens, Florida, United States of America, Raynham, Massachusetts, United States of America, Warsaw, Indiana ...

United States Digital Space LLC

Data Scientist

Warsaw, IN · On-site

$85.37 - $96.85/hr

  • Medical

  • Dental

Bachelor's Degree in Computer Science, Math, Statistics, Engineering, a related quantitative field, or equivalent practical experience. * 3+ years of experience applying data science techniques to ...

Munich RE

Data Scientist

Indianapolis, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

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Weekend Data Science information

What is a weekend data science?

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 skills and qualifications are needed to thrive as a weekend data scientist?

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 challenges do data scientists working on weekends face, 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.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends depending on project deadlines, company policies, or client needs. Typically, data science roles involve regular weekday hours, but some positions require weekend work, especially in roles with flexible or project-based schedules. It is important to clarify work hours during the hiring process or in job descriptions.

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 are popular job titles related to Weekend Data Science jobs in Indiana?

For Weekend Data Science jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Weekend Data Science jobs in Indiana look for?

The top searched job categories for Weekend 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:

Weekend Data Science jobs near you

Data Scientist

Socket.dev

Indianapolis, IN • On-site

$110 - $170/hr

Other

Posted 9 days ago

Job description

Data Scientist

Hybrid – Indianapolis, IN

About the Role

We are seeking a Data Scientist with 3-5 years of experience working specifically within the pharma industry to join a pharma-focused data team. This role combines applied statistical/ML modeling with strong data engineering fluency, working against large-scale data housed in Databricks and AWS. You will partner with business groups to frame problems, build models and analyses that answer them, and communicate results in terms that drive pharma business decisions.

Key Responsibilities
  • Develop statistical models, machine learning models, and advanced analyses using large-scale datasets in Databricks
  • Access, prepare, and engineer features from data processed through Apache Spark and AWS data services
  • Partner with business groups to understand pharma-specific problems and translate them into data science approaches
  • Build and validate ETL/data pipelines as needed to support modeling and experimentation workflows
  • Communicate modeling results, insights, and recommendations clearly to both technical and non-technical business stakeholders
  • Apply pharma domain knowledge to ensure models and analyses are relevant and interpretable in a business context
  • Collaborate with data engineers and analysts to productionize models and integrate outputs into reporting/decision workflows
  • Monitor model performance over time and iterate as needed
Requirements Required Qualifications
  • 3-5 years of data science / applied statistics / machine learning experience specifically within the pharma industry
  • Hands‑on experience with Databricks for data science/ML workflows
  • Working knowledge of AWS data services
  • Strong experience with Big Data processing using Apache Spark, PySpark.
  • Experience building ETL pipelines to support data science workflows
  • Strong Python and SQL skills; experience with ML libraries
  • Demonstrated ability to understand pharma business needs and speak to pharma business groups
  • Strong communication skills with demonstrated ability to present technical findings to business stakeholders
  • Bachelor's or master's degree in data science, Statistics, Computer Science, or a related quantitative field
Preferred Qualifications
  • Experience with Delta Lake, Snowflake, or similar modern data platforms
  • Familiarity with MLOps practices and model deployment/monitoring
  • Prior experience supporting pharma commercial, clinical, or R&D data science functions
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