InfoSpeed Services, Inc.

Data Modeler / Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Modeler / Data Scientist based in Indianapolis, IN, for a long-term contract, offering competitive pay. Candidates must have strong experience with scientific datasets, synthetic data generation, and proficiency in Python, R, or SQL.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 7, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Indianapolis, IN
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🧠 - Skills detailed
#Database Design #"ETL (Extract #Transform #Load)" #Scala #Data Modeling #Data Analysis #ML (Machine Learning) #Data Quality #Data Science #Python #SQL (Structured Query Language) #R #Datasets
Role description
Hi All, We're hiring! Role: Data Modeler / Data Scientist Location: Indianapolis, IN (Onsite – Monday to Thursday at client office) Duration: Long-term Contract Job Overview We are seeking a skilled Data Modeler / Data Scientist with strong experience in scientific data and developing synthetic or small-scale data modules. The ideal candidate will work closely with business and technical teams to design, build, and optimize data models that support advanced analytics and scientific use cases. Key Responsibilities Design and develop scalable data models for scientific and analytical applications Work with structured and unstructured scientific datasets Develop and implement synthetic data models and small-scale modules Collaborate with cross-functional teams to gather requirements and translate them into technical solutions Ensure data quality, integrity, and consistency across systems Optimize data structures for performance and scalability Support data analysis and advanced analytics initiatives Required Skills & Qualifications Strong experience in data modeling and data analysis Experience working with scientific, research, or life sciences datasets Hands-on experience in synthetic data generation or small module development Proficiency in Python, R, or SQL Solid understanding of data structures, database design, and ETL processes Strong analytical and problem-solving skills Preferred Qualifications Background in data science or a related field Experience in pharma, biotech, or scientific research domains Familiarity with machine learning concepts