Infojini Inc

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Conshohocken, PA (Hybrid) with a contract length of unspecified duration. Pay rate is also unspecified. Key skills include R/Python, data modeling, machine learning, and experience in Agile/DevOps.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
January 7, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Conshohocken, PA
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🧠 - Skills detailed
#Tableau #Visualization #Distributed Computing #ML (Machine Learning) #Programming #Data Modeling #Mathematics #Computer Science #Hadoop #R #Agile #Data Science #DevOps #Data Processing #Datasets #Python #AI (Artificial Intelligence)
Role description
Role-Data Scientist Location-Conshohocken, PA, 19428(Hybrid) Performs work with care, accuracy, and attention to detail and strives to meet quality standards - Ability to work with large amounts of raw data and feel comfortable with working with different programming languages - High intellectual curiosity with ability to develop new knowledge and skills and use new concepts, methods, digital systems and processes to improve performance - Ability to provide input to user-story prioritization as appropriate based on new ideas, approaches, and strategies - Collaborates with others (incl. virtual) to achieve goals - Ability to understand the complexity of business and the role of data and information as an integrated part of the business - Develop the business and deliver results - Lead and develop people - Knowledge of data set processes for data modeling, mining and production, as well as visualization tools including Tableau - Knowledge of at least one building block of artificial intelligence - Knowledge of machine learning development languages including R and/or Python and other developments in a fast moving data technology landscape e.g. Hive or Hadoop - Knowledge of DevOps and agile development practices - Exposure to development of industrialized analytical software products - Knowledge of corporate identity, core values and vision of creating a better everyday life for the many people - Passionate about the possibilities of data and its value for business - Deeply motivated to continuously develop and enhance programming skills and knowledge of machine learning and AI applications - Energized by working both independently and interdependently with the architecture network and cross functions - Appreciate the mix of strategic thinking and turning architecture trends into practice QUALIFICATIONS - Proven training in computer engineering, computer science, econometrics, mathematics or equivalent - Experience and knowledge of working with large datasets and distributed computing architectures - Knowledge of coding in R and/or Python and development of artificial intelligence applications - Experience in statistical analysis and statistical software - Experience in data processing and analysis - Experience in working in an Agile or DevOps working set-up - Experience in software engineering