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Weekend Data Science Jobs in Lebanon, IN (NOW HIRING)

Data Scientist

Indianapolis, IN · On-site

$105K - $195K/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.

Expert Data Scientist

Indianapolis, IN · On-site

$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.

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 ...

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 ...

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 ...

Data Platform Engineer (Data 360)

Indianapolis, IN · On-site

$109K - $131K/yr

Collaborate actively with key stakeholders--including business users, data engineers, data scientists, and CRM IT teams--to understand technical specifications and deliver unified data solutions.

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The Senior Data Engineer will work closely with analytics, data science, and business stakeholders to standardize data definitions, improve data quality, and reduce reliance on manual data ...

Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field OR equivalent experience. * Located in or around Indianapolis, IN. Bonus Experience * Azure certifications ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field OR equivalent experience. * Located in or around Indianapolis, IN. Bonus Experience * Azure certifications ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field OR equivalent experience. * Located in or around Indianapolis, IN. Bonus Experience * Azure certifications ...

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Showing results 1-20

Weekend Data Science information

See Lebanon, IN salary details

$35.9K

$117.6K

$188.2K

How much do weekend data science jobs pay per year?

As of Aug 28, 2026, the average yearly pay for weekend data science in Lebanon, IN is $117,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,400.00 and $130,300.00 per year, depending on experience, location, and employer.

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 popular job titles related to Weekend Data Science jobs in Lebanon, IN?

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

What cities near Lebanon, IN are hiring for Weekend Data Science jobs?

Cities near Lebanon, IN with the most Weekend Data Science job openings:

Data Scientist

Roche

Indianapolis, IN • On-site

$105K - $195K/yr

Full-time

Posted 6 days ago


Roche rating

9.3

Company rating: 9.3 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

3rd of 86 rated pharmaceutical


Job description

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

The Opportunity

As a Data Scientist, you will position data science as a key competency within the enterprise and be responsible for creating value from data assets using advanced analytics capabilities including data science, machine learning, and artificial intelligence methodologies to identify critical business risk and opportunities for Roche.

You will help Roche Diagnostics continue to progress through the data maturity model using data science methods and principles to generate deeper insights from a great variety of internal and external data sources. To achieve this, you will identify needs, lead the design and implementation of analytical solutions, provide advice and consulting support to our key business stakeholders and demonstrate value by executing proof-of-concept initiatives and prototyping analytical solutions to answer business questions.

You have an overall understanding of the key challenges in our industry. You have experience in the areas of analytics, data transformation, and data science. You are passionate about applying state-of-the-art analytical methods, as well as cutting edge machine learning algorithms to find solutions to complex business problems.

Key Responsibilities:

  • 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.

  • Evaluate, drive and implement solutions from concept to minimum viable product and final product.

  • Apply analytical and statistical methods to solve identified use cases in an agile manner using multiple data sources and analytical tools.

  • Collaborate within cross-functional teams to develop solutions, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision-making.

  • Interpret and communicate analytics results clearly and concisely to audiences with varying backgrounds and degrees of technical understanding.

  • Take an enterprise mindset, linking individual responsibilities with the broader organization; focus on outcomes that provide most business value.

  • Partner with data science experts around the world within Roche to share best-in-class solutions and drive collaborative approaches towards data science challenges.

Who You Are

  • You have a Bachelor's degree in Computer Science, Statistics, Bioinformatics, Mathematics or equivalent field.

  • Master's or PhD degree in Computer Science, Statistics, Bioinformatics, Mathematics or equivalent preferred.

  • You have at least 2 years of commercial/industry experience, working in a hands-on capacity; 4 years preferred.

  • Experience with Statistics, Data Mining, Machine Learning, Data Visualization, Cloud Computing, and Distributed Systems.

  • Hands-on programming experience (Python, R, etc) along with a solid understanding of statistical and machine learning models. You have experience in implementing statistical learning methods or deep learning frameworks to solve problems.

  • Ability to work independently, prioritize within an interdisciplinary environment that includes (data) scientists, analysts, business stakeholders and consultants.

  • Experience with Agile development methods including Scrum and Kanban preferred.

  • Experience with AWS environments preferred.

  • Excellent communication and effective problem-solving skills; track record in serving a variety of diverse customers and projects.

  • Willingness to guide and inspire business stakeholders, data scientists and other colleagues along the journey into the world of data science.

The expected salary range for this position based on the primary location of Indiana is $105,000 - $195,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits


Relocation benefits are not available for this job posting.

Who we are

A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.


Let's build a healthier future, together.

Roche is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.


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