Job Description

As a Data Scientist at InnoWave, you will play a crucial role in advancing our research and development initiatives. The ideal candidate will have a solid foundation in data science, a keen understanding of scientific technologies, and a proven track record of successful grant applications. The role involves not only driving innovative data-driven solutions but also effectively communicating these advancements through technical writing, specifically in the context of R&D and grant proposals. Responsibilities : Research and Development: Lead and contribute to advanced research projects in AI, Machine Learning, etc. Collaborate with cross-functional teams to identify opportunities for innovation and improvement in our technology. Grant Proposal Development: Take ownership of the end-to-end grant application process, from identifying potential funding opportunities to drafting and submitting compelling proposals. Ensure alignment between proposed research objectives and the company\'s strategic goals. Technical Writing: Produce clear, concise, and technically sound documents, including research papers, project reports, and grant proposals. Translate complex technical concepts into accessible language for diverse audiences, including non-technical stakeholders and funding agencies. Data Analysis and Modeling: Apply advanced statistical and machine learning techniques to analyze large datasets and extract meaningful insights. Develop and deploy machine learning models to address specific research challenges. Qualifications: Degree in a relevant field, e.g., Computer Science, Statistics, etc. Minimum of 5 years of hands-on experience in data science and research activities. Proven track record of successful grant applications and a deep understanding of the grant funding landscape. Strong programming skills, with proficiency in languages such as Python, R, etc. Exceptional technical writing skills with a portfolio of published papers and successful grant proposals. Expertise in GenAI, Machine Learning, Deep Learning. Other Skills: Excellent communication and collaboration skills. Detail-oriented with strong problem-solving abilities. Ability to work independently and as part of a team.

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