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Weekend Data Science Jobs in Indiana (NOW HIRING)

Senior Data Scientist

Columbus, IN · On-site

$80K - $90K/yr

D. in Computer Science, Statistics, Mathematics, or related fields. • 5+ years of experience in data science, or related fields. • Strong expertise in machine learning & deep learning frameworks ...

Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Data Science, Biostatistics, or related field of study. * Five (5) years of experience in ...

Experience leading end-to-end data science project implementation highly preferred. * Experience managing a small team either through formal or informal reporting relationship preferred. * PhD and ...

Sr. Data Scientist

Indianapolis, IN · On-site

$100 - $125/hr

Contribute to spatial data infrastructure and cloud-native geospatial workflows as needed WHAT YOU BRING * 3-6 years of experience in data science, GIS, or a related field * Strong proficiency in ...

Brings 5+ years of experience in a data science or quantitative research role, with hands‑on expertise in designing and evaluating causal experiments such as geo experiments, time‑series holdouts ...

Brings 5+ years of experience in a data science or quantitative research role, with hands-on expertise in designing and evaluating causal experiments such as geo experiments, time-series holdouts, or ...

Data Scientist

Crane, IN · On-site

$80K - $95K/yr

... a Data Scientist to provide engineering and technical support to assist our government customer ... Science and Technology (S&T) community. Products will support algorithm development on Unmanned ...

Data Scientist Location: Columbus, IN Duration: 9 weeks Primary Skills: this is a fixed fee project ... Education Requirements MINIMUM MSc in Statistics, Mathematics, Computer Science; PhD preferred ...

Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or ... more years predictive modeling experience in another industry. Education, Certifications ...

Showing results 41-60

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 cities in Indiana are hiring for Weekend Data Science jobs?

Cities in Indiana with the most Weekend Data Science job openings:

Associate Data Scientist

Fort Wayne, IN • On-site

Brotherhood Mutual Insurance Company
Insurance Services • 201 - 500 employees

$60 - $80/hr

Other

Re-posted 16 days ago


Brotherhood Mutual rating

7.3

Company rating: 7.3 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

241st of 315 rated insurance


Job description

Location: Corporate Office (Fort Wayne, IN)

JOB SUMMARY

Responsible for executing the collection, storage, interpretation, and visualization of data for financial, business, and analytical solutions that help the organization achieve its long-term goals and objectives.

POSITION ESSENTIAL FUNCTIONS AND RESPONSIBILITIES

  • Analyze statistical data on large sets and identify trends by using advanced mathematical and computer science skills.
  • Execute the production of statistical models, tools, and processes.
  • Write programs to cleanse and integrate structured and unstructured data in an efficient and reusable manner.
  • Evaluate modelling results and communicate the results to technical and non-technical audiences.
  • Work with actuaries, analysts, and other stakeholders directly or indirectly to provide data, reporting, advanced analysis, and insights.
  • Perform deep dives into a varying array of data sources, determining the appropriate data for the analysis to be performed, identifying potential uses, and preparing for analysis.
  • Complete other projects as assigned.

KNOWLEDGE, SKILLS, AND ABILITIES

  • Demonstrate strong technical and analytical abilities.
  • Possess fluency in statistical programming in a language such as R or Python.
  • Demonstrate proficiency with data mining, mathematics, statistical analysis, and predictive modeling.
  • Able to look at things differently, debug, troubleshoot, design, and implement solutions to complex technical issues.
  • Effectively interface with external contacts, Brotherhood employees, managers, and department staff members.

EDUCATION AND/OR EXPERIENCE

  • Must have a Bachelor’s degree in Data Science, Computer Science, Statistics, or related discipline.
  • Must have previous experience with Excel, SQL, and statistical programming languages (i.e. Python, R, SAS).
  • One to three years of experience in Data Science related role is desired.
  • Exposure to and understanding of the insurance industry is desired.

Because the company’s niche is the church and related ministries market, and because effective service requires a thorough understanding of this market, persons in this position must be familiar with church operations and must conduct themselves in a manner that will neither alienate nor offend persons within this target niche.

Brotherhood Mutual Insurance Company reserves the right to modify, interpret, or apply this position description in any way the company desires. This job description in no way implies that these are the only duties, including essential duties, to be performed by the employee occupying this position. This position description is not an employment contract, implied or otherwise. The employment relationship remains “at-will”.

Equal Opportunity Employer; This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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