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Design and implement enterprise-wide data strategies, manage data engineering assets, collaborate with cross-functional teams, ensure data integrity and security, develop data models, and lead data governance initiatives.
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.
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The Senior Scientist in Drug Product Process Science will lead formulation development, fill/finish processes, and cryopreservation for clinical-scale manufacturing. Responsibilities include study design, technology transfer, troubleshooting, documentation, and regulatory filings support, collaborating with cross-functional teams to ensure effective drug product processes and commercialization.
Deepwatch is looking for a highly skilled Data Engineer to manage and optimize data architecture to support AI and machine learning models. The role involves collaborating with data scientists, AI engineers, and business stakeholders to meet technical and analytical needs, as well as performing data analysis and maintaining dashboards.
Seeking a VP, Data Science & ML to lead modeling and AI/ML initiatives across the enterprise. Responsibilities include setting strategic direction, managing existing models, collaborating on machine learning platform deployment, and leading a team.
The Senior Data Engineer will expand and optimize data pipeline architecture, build data pipelines for the machine learning platform, and develop integration architecture for various data sources, while collaborating with cross-functional teams.
The role involves developing comprehensive global business plans for pharmaceutical and biotechnology companies, assessing market opportunities, developing growth strategies, and optimizing business performance across international markets.
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 Sr. Data Integration Consultant will provide high-quality pre/post-sales consulting, focusing on data integration and discovery projects. Responsibilities include project planning, troubleshooting, implementation, maintaining skills related to Actian products, mentoring, and creating documentation. Candidates must be proficient with various integration tools and database management systems.
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