

Infojini Inc
Data Scientist
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
January 7, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Conshohocken, PA
-
π§ - 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
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






