Get the job you really want.
Top Hybrid Data Science Jobs
As a Senior Credit Analyst, you will evaluate the creditworthiness of loan applicants through in-depth analysis of financial statements, perform risk assessments, guide junior analysts, prepare credit reports, collaborate on underwriting decisions, and present proposals to the Credit Committee.
As a Data Scientist, you will design and maintain complex data models, implement machine learning and AI algorithms, analyze large datasets, and collaborate with teams to create data-driven solutions. You will ensure data quality and develop visualizations to communicate findings.
The Lead Data Scientist will transform data into actionable insights for marketing strategies, develop predictive models, optimize acquisition algorithms, and collaborate with other departments to drive business decisions based on data analysis. Responsibilities include leading data science initiatives, building experimentation frameworks, and presenting findings to stakeholders.
Featured Jobs
As a Junior Consultant at Ekimetrics, you will work with clients on data analytics and model construction, transforming data insights into strategic recommendations. Responsibilities include data gathering, analysis, and presenting findings directly to C-suite executives, all while gaining mentorship from a team of consultants.
Looking for a Data Science Lead to build data-driven analytics solutions for business processes in areas like customer loyalty and operations. Responsibilities include the development of AI/ML solutions, analytical roadmaps, scalable data science methodologies, and enhancing organizational data competencies.
The Senior/Lead Data Scientist will develop and maintain predictive models, analyze data patterns, and automate analytic procedures. Responsibilities include enhancing decision-making insights for clients, conducting complex analyses, and coordinating across teams for successful project execution.
This role involves developing cellular assays and managing high throughput screens to advance drug compounds. The scientist will work with cross-functional teams, identify useful assays, present research findings, and maintain detailed records while adhering to lab safety standards.
The Senior Scientist will lead the development and execution of peptide quantitative assays from discovery to preclinical studies, utilizing LC-MS techniques. Responsibilities include method development, writing reports and SOPs, and managing cross-functional collaboration. The role involves ensuring compliance with regulatory standards and may require acting as a subject matter expert for external interactions.
The Coffee Scientist will lead R&D initiatives focusing on coffee extraction processes, collaborating with Engineering and Operations to enhance production efficiency and product quality through experimentation and process improvement. Responsibilities include data analysis, project management, industry trend engagement, and cross-functional teamwork to streamline processes.
.png)
Seeking an experienced Senior Data Scientist to lead client-facing project delivery, develop advanced machine learning models, and drive data-driven decision making. Responsibilities include identifying AI-ready use cases, designing and implementing ML models, collaborating with teams, leading projects, and educating stakeholders. Qualifications include a Bachelor's or Master's degree in a related field, 5 years of data science experience, proficiency in Python and relevant libraries, and experience with cloud platforms and ML algorithms.
Top hybrid Companies Hiring Data + Analytics Roles
See All
All Filters
No Results
No Results
