Top Data Science Jobs in Indianapolis, IN
Smarsh is seeking a Data Scientist who will analyze unstructured communication data to provide solutions for customers. The role involves developing machine learning models, conducting exploratory data analysis, and collaborating with various stakeholders to address data needs. The candidate should possess solid statistical knowledge and familiarity with data science principles and tools.
Senior Data Scientist role with a focus on full stack data science. Responsibilities include improving precision/recall of clinical algorithms, developing customer-facing analytics, and growing data science infrastructure. Ideal candidate has 5+ years' healthcare data science experience, ML Ops skills, and a product-focused mindset. Compensation includes $170K to $200K base salary + equity.
The Research Scientist will conduct independent research for a News Platform, focusing on quality evaluation of documents and misinformation detection. Responsibilities include collaborating with product managers, designing experiments, analyzing data, and communicating solutions effectively with cross-functional teams. You will benefit from a fast-paced environment promoting meaningful contributions from day one.
The Data Scientist at Excella is responsible for using advanced statistical, algorithmic, machine learning, data mining, and visualization techniques to help advance and complete client projects. They must also effectively communicate complex quantitative analyses to management and executive level audiences.
As a Data Scientist focusing on AI at Candidly, you will work on designing, developing, and deploying AI-driven features that enhance our financial wellness platform. You will partner closely with the product and engineering teams to create solutions that leverage natural language processing (NLP) to optimize the user experience, improve engagement, and improve operational efficiencies. Responsibilities include product development, NLP, data strategy, model evaluation, research, stakeholder collaboration, and data storytelling.
Saviynt is seeking a Sr. Revenue Operations Analyst to drive full funnel accountability across the revenue engine. Responsibilities include optimizing data operations, translating business requirements, providing strategic insights, and enhancing sales enablement. Qualifications include 3-5 years of revenue or sales operations experience, expertise in Salesforce, strong communication and analytical skills.
The Staff Research Scientist will develop AI technology focusing on NLP and ASR. Responsibilities include designing and implementing neural net architectures, optimizing training pipelines, and collaborating with ML engineers to enhance product capabilities based on real-world data analyses.
The Senior Unified Communications Analyst will resolve user incidents related to Unified Communications, manage video teleconferencing systems, assist in installation and maintenance of communication equipment, and collaborate with cross-functional teams to ensure efficient operations. Weekly reporting and documentation are also part of the role.
The Senior Data Scientist will lead data science initiatives, create and implement research methodologies, and collaborate with cross-functional teams to optimize product offerings based on runner behavior and performance data. Responsibilities include managing projects, developing data pipelines, and providing actionable insights.
The Data Scientist will develop and maintain ETL processes, generate insightful reports from financial data, analyze performance indicators, and collaborate with cross-functional teams to improve financial operations and data quality.
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