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Weekend Data Science Jobs in Indiana (NOW HIRING)

Coastal

Data Platform Engineer (Data 360)

Indianapolis, IN

$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.

Masco Corporation

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 ...

Masco Corporation

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 ...

Haynes International

Data Analytics Engineer

Kokomo, IN · On-site

$101K - $121K/yr

A bachelor's degree in computer science, data science, software engineering, or related field (R) Experience : At least five years of experience in data analytics, data engineering, software ...

Pae

Bachelor's degree in data science, computer science, artificial intelligence, machine learning, mathematics, or related technical field with 8+ years of experience (advanced degree equivalency ...

inKind

Data Engineer

Austin, IN · On-site

$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 ...

Cisco

Applied AI Scientist

Indianapolis, IN · On-site

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.

CSpring

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 ...

CSpring

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 ...

CSpring

Cloud Data Engineer

Indianapolis, IN

$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 ...

Banner Quality Management Inc

Data Analyst

Odon, IN · On-site

Help transition of data science models into continuous production systems Business Systems Development & Lifecycle Management * Develop, configure, or enhance business tools and systems based on ...

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 ...

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 ...

St. Joseph County, IN

Data Analyst

South Bend, IN

Thorough knowledge of concepts, practices, and procedures of data science and analysis, with strong analytical skills, and ability to effectively research and utilize information from various ...

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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 Platform Engineer (Data 360)

Coastal

Indianapolis, IN

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Job description

Data Platform Engineer (Data 360)
We are looking for a Data Platform Engineer to help us support our continued growth. The Data Platform Engineer is responsible for building, implementing, and maintaining technical solutions, ensuring they align with best practice solutions based on client needs. Working closely with Data Architects, they provide technical execution and development support within Salesforce.com and other SaaS applications to support business and product strategies, with a heavy emphasis on maximizing the Salesforce Data 360 (D360) ecosystem.
A Data Platform Engineer participates in discovery sessions to understand client processes and challenges, translating documented solution designs into functional technical requirements and production-ready implementations. They provide collaborative execution and clear communication to project and client team members in order to build a foundation as a trusted technical partner.
This position will require a weekly onsite presence at our client's location in Indianapolis, IN.

Role Responsibilities:
  • Data Architecture amp; Infrastructure Implementation
    • Enterprise D360 Harmonization: Implement and maintain data structures that align with business needs, leveraging Salesforce Data 360 (D360) capabilities for unified profile management, data democratization, and real-time activation.
    • Modern Cloud Integration: Build and deploy data solutions that bridge enterprise cloud data platforms (Data Lakes/Warehouses) with the Salesforce ecosystem to address specific business needs, such as Business Intelligence (BI), ETL/ELT, and AI/ML initiatives.
    • Legacy Migration: Execute the migration, ingestion, and mapping of customer data from legacy systems and siloed databases into the Salesforce D360 platform.
    • Governance amp; Trust: Configure and maintain data accessibility, data privacy, granular security controls, and compliance with relevant regulations (e.g., GDPR, CCPA) and industry standards within the customer data ecosystem.
  • Data Modeling amp; Pipeline Engineering:
    • Ingestion amp; Streaming Pipelines: Develop, deploy, and maintain real-time streaming and batch data pipelines for ingesting, transforming, and loading high-volume enterprise data into Salesforce D360 from various cloud sources and APIs.
    • D360 Identity Resolution: Build and support scalable data models and metadata architectures within Salesforce D360, implementing identity resolution rules, reconciliation rules, and unified data graphs as designed.
    • Performance Optimization: Monitor, troubleshoot, and optimize query performance, calculated insights, identity resolution runs, and data transformation processes within the Salesforce D360 and underlying lakehouse environments.
  • Technical Execution and Collaboration:
    • Cross-Functional Collaboration: 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.
    • Ecosystem Implementation: Help evaluate, test, and integrate appropriate tools, connectors, and zero-copy/Zero-Data-Movement technologies for seamless data integration, transformation, and activation within the Salesforce D360 ecosystem.
    • Technical Guidance: Provide development-level support, code reviews, and best-practice engineering guidance to data engineering and CRM development teams.
Experience/Skills Required:
  • Experience: 3+ years of experience in data engineering, technical consulting, or database development for cloud data platforms with multiple enterprise workstreams.
  • Salesforce D360 (Data Cloud) Capabilities: Strong working knowledge of the data cloud architecture, including data models (DMOS, DSOs), identity resolution, data spaces, calculated insights, and activation targets.
  • Modern Data Methods: Familiarity and alignment with modern data architecture methods, including lakehouse architecture, zero-copy data sharing, and real-time data activation.
  • Broad Data Ecosystem Experience: Hands-on experience with enterprise database technology, cloud data warehouses (e.g., Snowflake, Databricks), ETL/ELT tools, data engineering pipelines, and data science principles.
  • Strong Communication: Excellent verbal and presentation abilities, capable of effectively communicating technical engineering concepts and data updates to stakeholders and team members.
  • Technical Tooling amp; Development: Strong proficiency with data-centric programming languages (such as SQL and Python) as well as Salesforce application development components (Apex, Flow, LWCs, MuleSoft).
  • Engineering Patterns: Solid understanding of enterprise architecture patterns, API management, and real-time data streaming technologies (e.g., Kafka, Amazon Kinesis).
  • Structured Data Modeling: Practical experience with data modeling methodologies (such as Kimball dimensional modeling, Star/Snowflake schemas, or Medallion Bronze/Silver/Gold structures) and mapping them into a canonical Customer 360 model.
  • US Authorization: Must have full-time permanent US work authorization.
Additional Preferred Experience/Skills:
  • Bachelor’s Degree preferred, or equivalent experience.
  • Salesforce Certified Data Cloud Consultant or Accredited Professional designations.
  • Hands-on experience with core Salesforce CRM technology like Sales Cloud, Service Cloud, or Industry Clouds (e.g., Financial Services Cloud, Health Cloud).
  • Hands-on experience deploying AI/ML solutions like Salesforce Einstein, AWS Sagemaker, or Google Vertex AI, alongside a solid understanding of Generative AI patterns (e.g., Retrieval-Augmented Generation / RAG).
  • Experience designing data architectures on cloud platforms like Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
  • Hands-on expertise with analytics and visualization tools like Tableau, CRM Analytics, PowerBI, or Looker.
  • Open to travel based on client and business demands.
Why Coastal, and what we offer:
  • Flexible working hours with an emphasis on a life-work balance (in that order!)
  • Remote flexible work; plus company office locations in Palm Coast, FL; Atlanta, GA; Tysons, VA amp; Lexington, KY; travel as required to client locations
  • Unlimited Paid Time Off (RTO), 401K with Company Match, and Medical, Vision, amp; Dental coverage
  • Competitive quarterly bonus opportunities
  • Continuing education and certification reimbursements, specifically within the Salesforce and Snowflake ecosystems; plus occasional in-house competitions with spot bonuses
  • A flexible and fun team culture! We value transparency, support, flexibility, growth, teamwork, fun, and so much more
  • Frequent team and culture activities, virtual amp; in-person, including Lunch and Learns, Happy Hours, team-building events
  • Monthly All-Hands calls to bring the company together, and an open-door leadership policy with access to mentorship and guidance
  • Opportunities for accelerated growth, networking, and career guidance and support
  • Trust, transparency and respect across all levels of the company

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