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Temporary Data Scientist Machine Learning Jobs in Indiana

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 ...

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 ...

As a Data Scientist III, you will apply data science, statistics, and machine learning to Code MXM's EMSO mission engineering - supporting statistical and analytical investigations, data mining, and ...

Sr. Data Scientist

Indianapolis, IN · On-site

$100 - $125/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 ...

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 ...

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 ...

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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:

Data Scientist /Machine Learning - Indianapolis, IN

Indianapolis, IN • On-site

Georgia IT, Inc.
IT Services • 51 - 200 employees

Full-time

Re-posted 10 days ago


Job description

Job Summary:
Georgia IT, Inc. is seeking a Data Scientist with expertise in Machine Learning. The role involves working with big data engineering, predictive modeling, and collaborating with diverse technical teams to solve complex problems.
Responsibilities:
• Extensive experience with big data engineering, descriptive statistics, dimensionality reduction, predictive modelling and validation (mixed-models, non-linear regression, principal components, cross-validation techniques, etc.)
• Knowledge of simulation techniques and optimization methods with multiple constraints
• Understanding of high-performance machine learning algorithms (decision trees, neural networks, SVM etc.).
• Solid expertise in a scientific programming language (e.g. R, Python) preferably in a HPC or Cloud environment.
• Written and verbal communication skills and the ability to successfully collaborate and lead projects with colleagues from diverse technical backgrounds
• Critical thinking and strong problem-solving skills
Qualifications:
Required:
• Extensive experience with big data engineering, descriptive statistics, dimensionality reduction, predictive modelling and validation (mixed-models, non-linear regression, principal components, cross-validation techniques, etc.)
• Knowledge of simulation techniques and optimization methods with multiple constraints
• Understanding of high-performance machine learning algorithms (decision trees, neural networks, SVM etc.)
• Solid expertise in a scientific programming language (e.g. R, Python) preferably in a HPC or Cloud environment
• Written and verbal communication skills and the ability to successfully collaborate and lead projects with colleagues from diverse technical backgrounds
• Critical thinking and strong problem-solving skills
Company:
Georgia IT, Inc. provides IT Consulting for a wide range of IT services and custom build turn-key enterprise solutions. Founded in 2007, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.

Georgia IT logo

About Georgia IT

Sourced by ZipRecruiter

A PROFESSIONAL SERVICES ORGANIZATION WITH A VISION OF DELIVERING SIMPLE AFFORDABLE, SUSTAINABLE SOLUTIONS FOR COMPLEX PROBLEMS WITH INTEGRITY. OUR GOAL IS TO ACHIEVE ALL THIS IN A COLLABRATIVE APPROACH WITH ALL PARTIES INVOLVED IN DELIVERING SOLUTIONS/PRODUCTS.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

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