Data Scientist Intermediate Job Indianapolis area,Indiana USA,IT/Tech

Position: Data Scientist Intermediate.
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 DS SME for other more junior DS 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 DS 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 DS professional
Mines 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 Git Hub 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 users

Required Qualifications

Bachelor's Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics and 2+ years of experience
Or a Master's Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics
4+ 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

Preferred Qualifications

Experience with data manipulation to include cleansing, standardizing, and transforming
Experience in leading workshops or training sessions with a user community a plus
Experience generating and distributing visualizations to a broad range of audiences
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
Experience with the following concepts or tools (geocoding and geospatial data, shiny, network diagraming, neo4j, Docker, Kubernetes)