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Temporary Data Scientist Machine Learning Jobs in Indiana

Roche

Expert Data Scientist

Indianapolis, IN

$129K - $240K/yr

The Position The Opportunity As a Data Scientist, you will position data science as a key ... Experience with Statistics, Data Mining, Machine Learning, Data Visualization, Cloud Computing, and ...

Roche Holding AG

Expert Data Scientist

Indianapolis, IN · On-site

$129 - $240/hr

The Position The Opportunity As a Data Scientist, you will position data science as a key ... Experience with Statistics, Data Mining, Machine Learning, Data Visualization, Cloud Computing, and ...

New

Socket.dev

Data Scientist

Indianapolis, IN · On-site

$110 - $170/hr

Data Scientist Hybrid - Indianapolis, IN About the Role We are seeking a Data Scientist with 3-5 ... Develop statistical models, machine learning models, and advanced analyses using large-scale ...

Munich Re

Data Scientist

Fishers, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Munich Re

Data Scientist

Indianapolis, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Eightelevengroup

Sr. Data Scientist

Indianapolis, IN · On-site

$110.21 - $121.23/hr

Develop machine learning models with spatial components (clustering, classification, interpolation ... in data science, GIS, or a related field * Strong proficiency in Python for geospatial data ...

Elevance Health

Data Scientist Analyst

Indianapolis, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Scientist Analyst Data Scientist Analyst Location: This role requires associates to be in ... Apply machine learning and AI techniques to uncover leading indicators of health utilization trends ...

Brooksource

Sr. Data Scientist

Indianapolis, IN · On-site

$80 - $88/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop machine learning models with spatial components (clustering, classification, interpolation ... in data science, GIS, or a related field * Strong proficiency in Python for geospatial data ...

Elevance Health

Data Scientist Analyst

Indianapolis, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... Apply machine learning and AI techniques to uncover leading indicators of health utilization trends ...

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Temporary Data Scientist Machine Learning information

What does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Indiana?

The most popular types of Data Scientist Machine Learning jobs in Indiana are:

What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Indiana?

For Temporary Data Scientist Machine Learning jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Temporary Data Scientist Machine Learning jobs in Indiana look for?

The top searched job categories for Temporary Data Scientist Machine Learning jobs in Indiana are:

What cities in Indiana are hiring for Temporary Data Scientist Machine Learning jobs?

Cities in Indiana with the most Temporary Data Scientist Machine Learning job openings:

Temporary Data Scientist Machine Learning jobs near you

Data Scientist with Data Bricks Lakehouse contract C2C requirements

Tech Mirrors

Indianapolis, IN • On-site

$90 - $120/hr

Other

Posted 13 days ago

Job description

Position: Data Scientist with Data Bricks Lakehouse

Location: Indianapolis, IN (Onsite)

Duration: 8+ months

Description:

We are seeking a Databricks Data Scientist with strong experience in Databricks Lakehouse, advanced analytics, and Genie (AI/BI) to design, build, and deploy scalable data science and AI solutions. This role will focus on transforming enterprise data into actionable insights using machine learning, natural language analytics, and self-service BI powered by Databricks Genie.

Key ResponsibilitiesData Science & Machine Learning
  • Design, develop, and deploy machine learning models using Databricks (MLflow, Spark ML, Python).
  • Implement end-to-end ML pipelines (data ingestion→training→deployment→monitoring).
  • Collaborate with data engineers to ensure reliable, high-quality datasets in the Lakehouse.
Databricks & Lakehouse Architecture
  • Leverage Databricks Lakehouse (Delta Lake, Unity Catalog) for scalable analytics.
  • Optimize Spark jobs for performance and cost efficiency.
  • Apply best practices for data governance, lineage, and security.
Genie (AI/BI & Natural Language Analytics)
  • Configure and enable Databricks Genie for self-service analytics.
  • Design semantic layers and curated datasets optimized for natural language queries.
  • Partner with business stakeholders to translate questions into Genie-enabled insights.
Business Enablement & Collaboration
  • Work closely with product owners, analysts, and business leaders to identify high-value use cases.
  • Communicate complex analytical results in a clear, business-friendly manner.
Required Qualifications
  • Bachelor’s or master’s degree in data science, Computer Science, Statistics, Engineering, or a related field.
  • 4+ years of experience in data science or advanced analytics.
  • Hands‑on experience with Databricks and Apache Spark.
  • Strong programming skills in Python (PySpark, Pandas, NumPy, Scikit-learn).
  • Experience building and deploying ML models in production.
  • Solid understanding of SQL and data modeling.
  • Experience with MLflow, model lifecycle management, and experimentation.

Education: At least a bachelor’s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or closely related field is required.

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