

Techgene Solutions
Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a Bachelor's or Master's degree and 2+ years of relevant experience. Key skills include R, Python, SQL, and experience with Shiny, Dash, or Flask. Contract length is unspecified; pay rate is "unknown."
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
April 10, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Indianapolis, IN
-
π§ - Skills detailed
#Neural Networks #Docker #Kubernetes #Mathematics #Data Pipeline #"ETL (Extract #Transform #Load)" #Neo4J #Flask #R #Automation #Regression #Spatial Data #Data Manipulation #Decision Tree Learning #Computer Science #Statistics #ML (Machine Learning) #Databases #Visualization #Data Science #Streamlit #Clustering #SQL (Structured Query Language) #Python
Role description
Bachelorβs Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics and 2+ years of experience
Required
Or a Masterβs Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics
Required
or 4+ years of experience and passion for leveraging data to drive significant organizational impact.
Required
Exp w/Shiny, Dash, Flask,or Streamlit to build user-facing interfaces, connect to backend data pipelines, and deploy lightweight analytic applications
Required
2
Years
Experience connecting to backend data pipelines, and deploy lightweight analytic applications
Required
2
Years
Experience using (R, Python, SQL, etc.) to manipulate and draw insights from large data sets as well develop software for automation
Required
2
Years
Advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.)
Required
2
Years
Experience with data manipulation to include cleansing, standardizing, and transforming
Required
2
Years
Broad knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)
Required
2
Years
Strong understanding of relational and dimensional databases, theories, principles, and practices
Required
2
Years
Experience in leading workshops or training sessions with a user community a plus
Required
Exceptional analytical, conceptual, and problem-solving abilities
Required
Experience generating and distributing visualizations to a broad range of audiences
Required
Must inhabit strategic thinking
Required
Strong written/oral communication and presentation skills
Required
Resourceful self-starter and highly motivated team player
Required
Able to perform well in a fast-paced environment
Required
Effective communicator and someone who enjoys getting to understand nuances of a problem
Required
Experience with the following concepts or tools (geocoding and geospatial data, shiny, network diagraming, neo4j, Docker, Kubernetes)
Highly desired
Bachelorβs Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics and 2+ years of experience
Required
Or a Masterβs Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics
Required
or 4+ years of experience and passion for leveraging data to drive significant organizational impact.
Required
Exp w/Shiny, Dash, Flask,or Streamlit to build user-facing interfaces, connect to backend data pipelines, and deploy lightweight analytic applications
Required
2
Years
Experience connecting to backend data pipelines, and deploy lightweight analytic applications
Required
2
Years
Experience using (R, Python, SQL, etc.) to manipulate and draw insights from large data sets as well develop software for automation
Required
2
Years
Advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.)
Required
2
Years
Experience with data manipulation to include cleansing, standardizing, and transforming
Required
2
Years
Broad knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)
Required
2
Years
Strong understanding of relational and dimensional databases, theories, principles, and practices
Required
2
Years
Experience in leading workshops or training sessions with a user community a plus
Required
Exceptional analytical, conceptual, and problem-solving abilities
Required
Experience generating and distributing visualizations to a broad range of audiences
Required
Must inhabit strategic thinking
Required
Strong written/oral communication and presentation skills
Required
Resourceful self-starter and highly motivated team player
Required
Able to perform well in a fast-paced environment
Required
Effective communicator and someone who enjoys getting to understand nuances of a problem
Required
Experience with the following concepts or tools (geocoding and geospatial data, shiny, network diagraming, neo4j, Docker, Kubernetes)
Highly desired






