Senior Data Scientist

About This Role

This role will support the Indiana Department of Transportation by ensuring effective utilization of INDOT data, focusing on customer engagement and data product delivery. The position involves translating analytical and operational challenges into data solutions and educating end-users on data interpretation best practices.

Responsibilities

• Provide supervision, leadership, mentoring, and guidance to other Data Scientists and staff
• Engage with key business stakeholders to understand analytical and operational challenges and translate them into data solutions
• Assess the structure, content, and quality of data through examination of source systems and data samples
• Collaborate with other DS professionals, data engineers, and BI professionals to optimize architecture, ETL procedures, and dashboards
• Prioritize requirements and create rapid prototypes and minimally viable products for end users
• Identify opportunities to improve processes and find efficiencies by applying industry best practices
• Mine and analyze data from state databases to drive insights and efficiency in processes
• Interpret data from multiple sources using analytical techniques, from aggregation to statistical methodologies
• Monitor input for code repositories for code version control
• Provide end-user education for interpretation of business data

Requirements

• Master’s and 1-2+ years of experience OR Bachelor’s Degree and 3-4+ years of experience OR 7-8+ years of experience applying data science skills
• 1-2 years in a team lead, project lead, or supervisory capacity
• Strong leadership skills including strategic thinking, communication, and presentation skills
• Considerable knowledge using computer languages (R, Python, SQL) to manipulate and draw insights from large data sets and develop software for automation
• Broad knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests)
• Broad knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks)
• Strong understanding of relational and dimensional databases, theories, principles, and practices
• Exceptional analytical, conceptual, and problem-solving abilities
• Strong written/oral communication and presentation skills
• Resourceful self-starter and highly motivated team player
• Experience with data manipulation to include cleansing, standardizing, and transforming
• Experience generating and distributing visualizations to a broad range of audiences

Qualifications

• Master’s Degree or Bachelor’s Degree
• 7-8+ years of experience in a similar role, or a Master's with 1-2+ years, or a Bachelor's with 3-4+ years. Plus 1-2 years in a team lead, project lead, or supervisory capacity.

Skills

* Required skills

Benefits