Data Scientist

LingaTech•Indianapolis, IN

1d•Remote

About The Position

This Data Scientist role is responsible for delivering actionable insights through advanced analytics, statistical modeling, and data science techniques, while supporting the development of scalable data solutions and tools. The position also serves as a key collaborator and mentor, partnering with stakeholders to translate business needs into data-driven strategies and fostering best practices across the organization.

Requirements

2+ years of experience with a Bachelor’s Degree in analytics, statistics, computer science, informatics, mathematics, or a related field; or a Master’s Degree in a related field; or 4+ years of experience leveraging data to drive significant organizational impact
2+ years of experience building user-facing applications using frameworks such as Shiny, Dash, Flask, or Streamlit, including connecting to backend data pipelines and deploying lightweight analytical tools
2+ years of experience connecting to backend data pipelines and deploying analytical applications
2+ years of experience using programming languages such as R, Python, and SQL to manipulate large datasets, generate insights, and develop automation solutions
2+ years of experience applying advanced statistical techniques, including regression analysis, statistical testing, and distribution analysis
2+ years of experience with data manipulation, including cleansing, standardizing, and transforming data
2+ years of experience working with machine learning techniques such as clustering, decision trees, and neural networks
2+ years of experience working with relational and dimensional databases, including their theories, principles, and best practices
Experience leading workshops or training sessions for user communities
Strong analytical, conceptual, and problem-solving skills
Experience creating and delivering data visualizations to diverse audiences
Demonstrated strategic thinking capabilities
Strong written, verbal, and presentation communication skills
Proven ability to be a resourceful, self-motivated team player
Ability to thrive in a fast-paced environment
Strong communication skills with the ability to understand and articulate complex problem nuances

Nice To Haves

Experience with geocoding and geospatial data
Experience with network diagramming and graph-based tools such as Neo4j
Experience working with containerization and orchestration tools such as Docker and Kubernetes
Additional experience with tools such as Shiny or similar advanced analytical frameworks

Responsibilities

Provide mentorship and guidance to junior Data Scientists and data-focused staff
Collaborate with stakeholders to understand business challenges and translate them into analytical solutions
Design, develop, and support internal web applications and interactive data tools
Analyze and assess data quality, structure, and integrity from various source systems
Partner with data engineers and BI teams to optimize data architecture, ETL processes, and reporting solutions
Develop rapid prototypes and minimally viable products to address user needs
Identify opportunities to improve processes and drive efficiencies using data science best practices
Perform data mining, statistical analysis, and modeling to generate actionable insights
Interpret and synthesize data from multiple sources using a range of analytical techniques
Maintain and manage code repositories using version control tools (e.g., GitHub)
Educate end users on interpreting and leveraging data insights effectively
Test, validate, and support enhancements to existing data solutions and systems
Provide ongoing maintenance and support for deployed data products
Document technical specifications and ensure alignment with established standards and best practices
Lead or support workshops, training sessions, and knowledge-sharing initiatives
Develop data visualizations and communicate findings to both technical and non-technical audiences
Build and deploy user-facing analytical applications using frameworks such as Shiny, Dash, Flask, or Streamlit