LanceSoft, Inc.

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist, offering a 5-month contract from 11/17/2025 to 4/30/2026, with a remote work location in Illinois. Key skills include predictive modeling, programming (Python, SQL), and familiarity with Big Data frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 6, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Hadoop #Programming #Data Framework #Data Science #SQL (Structured Query Language) #Data Modeling #Classification #Statistics #Scala #Mathematics #Java #Predictive Modeling #Tableau #Clustering #Spark (Apache Spark) #Computer Science #C++ #Big Data #Python #Visualization
Role description
Job Title: GTS - Data Scientist Start/End Dates: 11/17/2025 - 4/30/2026 Gap's Work Location: Home – Illinois\_Remote The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities • Analyze raw data: assessing quality, cleansing, structuring for downstream processing • Design accurate and scalable prediction algorithms • Collaborate with engineering team to bring analytical prototypes to production • Generate actionable insights for business improvements Qualifications • Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) • At least 1 - 2 years' of experience in quantitative analytics or data modeling • Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms • Fluency in a programming language (Python, C,C++, Java, SQL) • Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)