Top Data Science Jobs in Kansas City, MO
The Data Scientist will collect data, apply analytical and statistical methods to extract insights, and create visualizations for stakeholders. The role requires working with various data tools and managing data warehouses to ensure effective data integration and analysis.
As a Data Scientist at LeaseLock, you'll develop machine learning models to predict property risk, deliver data-driven strategies, and ensure data consistency for enhanced analytics. You will work independently on impactful projects that align with business needs.
As a Sr. Data Scientist, you will design and develop AI-based video analysis products, conduct algorithmic research, optimize algorithms for real-time use, and collaborate with cross-functional teams on AI product roadmaps.
The Senior Manager, Product Data Science will lead the data science team, focusing on operationalizing metrics, designing data pipelines, optimizing applications, implementing data quality checks, and providing mentorship to team members, all while collaborating with cross-functional teams to enhance product offerings and business outcomes.
Conduct high-level research on forest carbon dynamics, lead projects for enhancing carbon storage, analyze data using statistical and GIS tools, collaborate with stakeholders for conservation strategies, write grant proposals and reports, lead field teams in data collection, engage with carbon market stakeholders
The Senior Speech Scientist will design and deliver customer experience solutions by developing grammar for speech-enabled IVR applications, acting as a subject matter expert in speech recognition, and supporting sales with relevant proposals.
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The Data Scientist will lead the growth of data science capabilities, drive statistical modeling, optimize user classification systems, create lead scoring models, and collaborate with engineers and product managers to turn insights into automated services.
As a Staff Data Scientist at SentiLink, you will be responsible for building fraud detection models, researching new fraud types, and developing products for financial risk. This role requires strong technical abilities, model development skills, and the ability to work across teams to inform sales and marketing initiatives.
As a Lead Data Scientist, you will identify opportunities for applying data science and machine learning techniques to enhance marketing, products, and processes. Collaborating with various teams, you'll drive projects related to marketing optimization and customer data analysis, while mentoring the data science team.
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The Senior Credit Analyst will develop pricing models for sustainable growth, create customer risk profiles, perform credit risk analysis, and collaborate with cross-functional teams to guide lending strategies and insights. They will also track key performance indicators and support model development with the Data Science team.
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