IN-IDOH Data Scientist

Job Id: 798995

Data Scientist

Location: Remote - Resource must be currently located in Indiana

Client: IN- DOH

Duration: 06+ Months

Job Description

The Data Scientist plays a key role by creating in-depth analyses by leveraging data science techniques, methods, and interpretations to convey accurate, meaningful insights that empower IDOH and other partners to make informed decisions in support of the health, safety, and well-being of the citizens of Indiana.

Essential Duties/Responsibilities

The essential functions of this role are as follows:

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 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 users

The job profile is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice.

Job Requirements

The ideal candidate in this role should minimally have either:

A Bachelor's 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 Master's 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.

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.