Data Scientist (Ref: 18256)
Position: Data Scientist (Ref: 18256)
Location: Indianapolis, IN USA, 06106Salary: $41.68/hr.
Duration: 8 Months 22 Days - Fulltime
Openings: 1
Deadline: 04/15/2026
Description: ***100% Remote
***Local Candidates
We are seeking a Data Scientist that plays a key role by creating in-depth analyses by leveraging data science techniques, methods, and interpretations to convey accurate, meaningful insights that empower staff and other partners to make informed decisions in support of the health, safety, and well-being of the citizens.
Essential Duties/Responsibilities: Provides mentoring and guidance to other, more junior Data Scientists and staff
Support the development of internal web applications or interactive tools that help operationalize and deliver data science products across the organization.Acts as mentor and SME for other more junior users across the state and key external stakeholders
Engages with key business stakeholders on large projects and initiatives to understand their analytical and operational challenges and translate these needs into data solutions
Assesses the structure, content, and quality of the data through examination of source systems and data samples
Collaborates with other professionals, data engineers, and BI professionals around data/table structures to optimize architecture, ETL procedures, dashboards, and other self-service needs
Prioritizes requirements and create rapid prototypes and minimally viable products for end users
Looks for opportunities to improve current processes or find efficiencies by applying industry best practices as a professionalMines and analyzes data from state databases to drive insights into problems and efficiency in processes while maintaining the standards of organizational excellence
Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation, to data mining, to more complex statistical methodologies
Uses and monitors the input for code repositories like GitHub for code version control
Provides end user education for interpretation of business data
Tests and evaluates data solutions as it relates to upgrades to existing software
Provides maintenance and support for existing data solutions for the agency
Documents and communicates technical specifications to ensure that proper techniques and standards are incorporated into deliverables and understood by the end usersThe ideal candidate in this role should minimally have either:
A Bachelors Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics and 2+ years of experience and passion for leveraging data to drive significant organizational impact, or
a Masters Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics, or4+ years of experience and passion for leveraging data to drive significant organizational impact.
Considerable knowledge using computer languages (R, Python, SQL, etc.) to manipulate and draw insights from large data sets as well develop software for automation
Broad knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
Broad knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages and drawbacks
Strong understanding of relational and dimensional databases, theories, principles, and practices
Exceptional analytical, conceptual, and problem-solving abilities
Must inhabit strategic thinking
Strong written/oral communication and presentation skills
Resourceful self-starter and highly motivated team player
Able to perform well in a fast-paced environment
Experience with data manipulation to include cleansing, standardizing, and transforming.
Experience in leading workshops or training sessions with a user community a plus
Experience with the following concepts or tools is not a requirement but considered a plus (geocoding and geospatial data, shiny, network diagraming, neo4j, Docker, Kubernetes)
Experience generating and distributing visualizations to a broad range of audiences
Effective communicator and someone who enjoys getting to understand nuances of a problem
Proficiency using frameworks such as Shiny, Dash, Flask, or Streamlit to build user-facing interfaces, connect to backend data pipelines, and deploy lightweight analytic applications.
Required / Desired Skills
Bachelors Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics and 2+ years of experience Or a Masters Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics or 4+ years of experience and passion for leveraging data to drive significant organizational impact.Required - 4 Years
Experience with 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 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 YearsAdvanced 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 - 2 Years
Exceptional analytical, conceptual, and problem-solving abilities Required - 2 Years
Experience generating and distributing visualizations to a broad range of audiences Required - 2 Years
Must inhabit strategic thinking Required - 2 Years
Strong written/oral communication and presentation skills Required - 2 Years
Resourceful self-starter and highly motivated team player Required - 2 Years
Able to perform well in a fast-paced environment Required - 2 Years
Effective communicator and someone who enjoys getting to understand nuances of a problem Required - 2 Years
Experience with the following concepts or tools (geocoding and geospatial data, shiny, network diagraming, neo4j, Docker, Kubernetes) Required - 1 Years