Data Scientist

Onebridge is a Consulting firm with an HQ in Indianapolis, and clients dispersed throughout North America and beyond. We have an exciting opportunity for a highly skilled Data Scientist to join an innovative and dynamic group of professionals at a company rated among the top "Best Places to Work" in Indianapolis since 2015.

Data Scientist | About You

As a Data Scientist, you are responsible for designing, developing, and deploying data models that drive impactful business decisions. You will leverage your expertise in statistical analysis, machine learning, and data engineering to solve complex problems and deliver innovative solutions. With a strong foundation in cloud computing, particularly Microsoft Azure, and proficiency in Python and its associated libraries, you will play a critical role in transforming data into actionable insights that support our organization's strategic goals.

Data Scientist | Day-to-Day

• Design, develop, and deploy predictive models and machine learning algorithms to address business challenges.
• Analyze large datasets to extract actionable insights and support strategic decision-making.
• Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
• Use Python and associated libraries (Pandas, NumPy, SciPy, Scikit-learn) to preprocess, analyze, and visualize data.
• Utilize Azure AutoML and other tools to automate model training and deployment, ensuring efficiency and scalability.
• Maintain and optimize existing models, working closely with data engineers to ensure data quality, integrity, and ongoing effectiveness.

Data Scientist | Skills & Experience

• 5+ years of professional experience as a Data Scientist or in a similar role, demonstrating a strong track record of impactful data-driven projects.
• Proficiency in training and deploying data models in production environments, ensuring scalability and reliability.
• Advanced programming skills in Python, with hands-on experience using libraries such as Pandas, NumPy, SciPy, and Scikit-learn for data analysis and machine learning.
• Experience with Azure AutoML and other automated machine learning platforms, streamlining model development and deployment processes.
• Familiarity with cloud computing platforms, particularly Microsoft Azure, to manage and deploy data-driven solutions in a cloud environment.
• Strong analytical and problem-solving skills, with the ability to interpret complex data sets and provide actionable insights to stakeholders.

A Best Place to Work in Indiana since 2015