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Weekend Data Science Jobs in Indiana (NOW HIRING)

BC Forward

Data Analyst V - CX or VoC

Indianapolis, IN · On-site +1

$58 - $65/hr

We are seeking a Customer Experience Data Scientist / Analyst V to join our dynamic team. The ideal candidate will have strong experience in CX/VoC analytics, statistical modeling, machine learning ...

Pwc

AI & GenAI Data Scientist - Manager

Indianapolis, IN · On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

BC Forward

Data Analyst V - CX or VoC

Indianapolis, IN · Remote

$68 - $71/hr

Degree in Analytics, Statistics, Mathematics, Computer/Data Science, Engineering, or a related field. 6+ years of experience in data analytics, data science, or related fields. 3+ years in customer ...

Purdue University

Data Analyst

West Lafayette, IN · On-site

... data science, and data governance. Fully remote and hybrid work options are available. For full consideration, an attached resume and cover letter are required. This posting represents multiple ...

inKind

Data Engineer (AI)

Austin, IN

$135K - $155K/yr

Data Engineering is a key role in the development team and is responsible for building and ... Bachelor's degree in Computer Science, Applied Mathematics, Engineering, or any other technology ...

Deloitte

AI Data Engineer - Manager

Indianapolis, IN

$109K - $131K/yr

You will manage day-to-day delivery with an onshore/offshore team, partnering with data science, ML engineering, and product stakeholders to translate use cases into production-ready pipelines and ...

Deloitte

Databricks Data Engineer

Indianapolis, IN

$109K - $131K/yr

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics * 3+ years of experience in data engineering, extract, transform, load (ETL) ...

Michelin

Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

Minimum of 1 to 3 years of Computer Science, Management of Information Systems, Application Development, Data Analytics or related technical experience. This can include internship, Co-op ...

New

RR

Data Systems/Solutions Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The position emphasizes the development of robust, secure, and reproducible data infrastructure that supports data science, analytics, and AI-driven research. The Engineer applies modern software ...

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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 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 & Analytics Analyst - Affiliates

Data & Analytics Analyst - Affiliates

Brotherhood Mutual Insurance Company

Fort Wayne, IN

Full-time

Posted 8 days ago

Job description

Job Title: Data & Analytics Analyst - Affiliates

FLSA Status: Exempt

Job Family: Affiliates

Department: Strategy & Operations - Affiliates

Location: Corporate Office (Fort Wayne, IN)


JOB SUMMARY
Responsible for the collection, storage, interpretation, and visualization of company and Affiliate data. Serves as team lead in bringing together data sets in visualization tools, and creating views that identify areas for portfolio focus and attention. Key contributor and input into the buildout and execution of the
Affiliate Data & Analytics practice in support of BrotherhoodWorks, Lightwell & ACG Agencies, and BMIC.


POSITION ESSENTIAL FUNCTIONS AND RESPONSIBILITIES
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Understand objectives, business strategies, and key performance indicators (KPI’s) to provide meaningful management information and analysis to help drive financial and business performance.
  • Develop and maintain Affiliate dashboards through Power BI and other tools.
  • Identify trends, data discrepancies, and/or process improvement opportunities and provide recommended solutions to management.
  • Design, develop and implement predictive and descriptive data mining models to support data driven decision-making.
  • Facilitate development and operationalization of an environment of management information, business intelligence, and decision-making tools for Affiliate team members, and executive leadership.
  • Evaluate and recommend emerging technologies, products, and enterprise-wide solutions.
  • Apply feature selection algorithms to models predicting outcomes of interest, such as product use in the Affiliate niche market.
  • Lead in the production of statistical models, tools, and processes.
  • Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
  • Design surveys, opinion polls, or other instruments to collect data.
  • Identify business problems or management objectives that can be addressed through data analysis.
  • Identify relationships and trends or any factors that could affect the results of research.
  • Complete other projects as assigned.


KNOWLEDGE, SKILLS, AND ABILITIES
The requirements listed below are representative of the knowledge, skills, and/or abilities required to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with
disabilities to perform the essential functions.

  • Possess excellent technical and analytical abilities.
  • Demonstrate experience with analytical software, database user interface and query software.
  • Expertise in data mining, mathematics, statistical analysis, and predictive modeling.
  • Possess skills in looking at things differently, debugging, troubleshooting, designing, and implementing solutions to complex technical issues.
  • Effectively interface with external contacts, Brotherhood employees, managers, and department staff members.


EDUCATION AND/OR EXPERIENCE
List Degree Requirement, Years' Experience, and Certifications

  • Must have a bachelor's degree in an analytically focused area e.g., data analytics, economics, finance, math, computer science, statistics, or related discipline.
  • Must have three to four years of experience in a data science, analytics, or business insights role with some level of experience in the general insurance industry.
  • At least one year of experience with Excel, SQL, and/or a statistical programming language (e.g., Python, R, SAS) is required.
  • Experience in building analytics using data pipelines, data visualization tools, or dashboard creation is desired.
  • A master's degree in data science, computer science, statistics, or related discipline is desired.
  • Experience on resume within the insurance or financial services industries is desired.


Terms and Conditions

This description is intended to describe the general content of and requirements for the performance of this position. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements.

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”.

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