4 Lead Data Scientist AI Research jobs in whatjobs
Lead Data Scientist - AI Research
Posted 20 days ago
Job Viewed
Job Description
Our client, a cutting-edge research and development firm, is seeking a brilliant and innovative Lead Data Scientist specializing in Artificial Intelligence to join their fully remote research team. This role offers an exceptional opportunity to lead groundbreaking research initiatives, develop advanced AI models, and contribute to the future of technological innovation from anywhere in the world. You will be at the forefront of exploring and implementing novel AI algorithms and machine learning techniques.
Key responsibilities include leading research projects from conception to implementation, mentoring junior data scientists, and collaborating with cross-functional teams to translate research findings into actionable insights and product features. You will be responsible for designing experiments, developing predictive models, and analyzing large, complex datasets to uncover patterns and drive strategic decisions. Staying abreast of the latest advancements in AI, machine learning, deep learning, and related fields is critical.
The ideal candidate will possess a PhD or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, with a strong focus on AI and machine learning. Proven experience in leading research projects, publishing scientific papers, and developing complex AI models is essential. Proficiency in programming languages like Python or R, along with extensive experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), is mandatory. Exceptional analytical, problem-solving, and communication skills are required for effective remote collaboration and knowledge sharing.
Responsibilities:
Key responsibilities include leading research projects from conception to implementation, mentoring junior data scientists, and collaborating with cross-functional teams to translate research findings into actionable insights and product features. You will be responsible for designing experiments, developing predictive models, and analyzing large, complex datasets to uncover patterns and drive strategic decisions. Staying abreast of the latest advancements in AI, machine learning, deep learning, and related fields is critical.
The ideal candidate will possess a PhD or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, with a strong focus on AI and machine learning. Proven experience in leading research projects, publishing scientific papers, and developing complex AI models is essential. Proficiency in programming languages like Python or R, along with extensive experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), is mandatory. Exceptional analytical, problem-solving, and communication skills are required for effective remote collaboration and knowledge sharing.
Responsibilities:
- Lead AI research projects, defining objectives and methodologies.
- Develop and implement advanced machine learning and deep learning models.
- Analyze large, complex datasets to extract meaningful insights.
- Design and conduct experiments to validate AI hypotheses.
- Mentor and guide junior data scientists and researchers.
- Collaborate with engineering teams to integrate AI models into products.
- Publish research findings in reputable journals and present at conferences.
- Stay current with the latest AI and ML research trends and technologies.
- Contribute to the strategic direction of the company's AI initiatives.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Artificial Intelligence, or a related quantitative field.
- Minimum of 7 years of experience in data science, with a significant focus on AI/ML research.
- Demonstrated experience in leading research projects and publishing academic work.
- Expertise in programming languages such as Python or R.
- Proficiency with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, scikit-learn).
- Strong understanding of statistical modeling, algorithms, and data mining techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills for remote collaboration and technical documentation.
- Proven ability to work independently and manage complex research initiatives.
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Lead Data Scientist - AI Research
Posted 19 days ago
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Job Description
Our client is seeking a brilliant and innovative Lead Data Scientist to spearhead their Artificial Intelligence research and development efforts. This is a fully remote position, offering the chance to work with cutting-edge technologies and contribute to groundbreaking scientific advancements. You will lead a team of data scientists and researchers in designing, developing, and implementing advanced machine learning models and algorithms to solve complex challenges. Your responsibilities will include defining research objectives, conducting experiments, analyzing large datasets, and translating findings into practical applications. You will be at the forefront of exploring new AI paradigms, natural language processing, computer vision, and predictive modeling. This role requires a deep understanding of statistical modeling, machine learning techniques, and data mining methodologies. Strong programming skills in Python, R, or similar languages, along with extensive experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), are essential. You will also be responsible for evaluating and selecting appropriate tools and technologies, ensuring the scalability and robustness of developed solutions. Collaboration with cross-functional teams, including software engineers and domain experts, will be crucial to integrate AI solutions into products and services. The ideal candidate will possess a PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field, with a strong publication record or equivalent research experience. A minimum of 5-7 years of experience in data science, with a significant focus on AI and machine learning, is required. Excellent leadership, communication, and presentation skills are necessary to guide the team and articulate complex technical concepts to diverse audiences. This fully remote position, notionally based in **Ongata Rongai, Kajiado, KE**, demands a proactive, curious, and results-driven mindset. If you are passionate about pushing the boundaries of AI and driving innovation in a remote-first environment, we encourage you to apply.
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Lead Data Scientist - AI Research
Posted 10 days ago
Job Viewed
Job Description
Our client, a cutting-edge research and development firm, is seeking a highly accomplished Lead Data Scientist specializing in Artificial Intelligence research. This is a fully remote position, ideal for a visionary thinker passionate about pushing the boundaries of AI. You will lead a team of data scientists and researchers in developing novel AI algorithms and solutions that address complex real-world problems. This role requires a strong theoretical foundation in machine learning, deep learning, and a proven ability to translate research into practical applications.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of advanced AI and machine learning models.
- Direct research efforts in areas such as deep learning, natural language processing, computer vision, and reinforcement learning.
- Mentor and guide a team of data scientists and researchers, fostering a collaborative and innovative environment.
- Define research roadmaps and project objectives aligned with the company's strategic goals.
- Oversee the end-to-end data science lifecycle, from data acquisition and preprocessing to model deployment and monitoring.
- Develop and validate novel algorithms and methodologies.
- Stay abreast of the latest academic research and industry trends in AI and machine learning.
- Publish research findings in top-tier conferences and journals.
- Collaborate with engineering teams to integrate AI solutions into production systems.
- Present complex findings and research directions to both technical and non-technical stakeholders.
- Identify opportunities for leveraging AI to solve challenging business and societal problems.
- Manage research budgets and resources effectively.
- Contribute to the intellectual property portfolio of the company.
- Ensure ethical considerations and responsible AI practices are integrated into all research.
- Drive innovation through experimentation and prototyping.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
- 8+ years of experience in data science and machine learning, with a significant focus on AI research.
- Proven track record of leading successful research projects and delivering impactful AI solutions.
- Expertise in Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Deep understanding of various ML algorithms, statistical modeling, and deep learning architectures.
- Experience with large-scale data processing frameworks (e.g., Spark).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong leadership, mentorship, and communication abilities.
- Ability to work independently and effectively in a fully remote, distributed team.
- Publication record in leading AI/ML conferences (e.g., NeurIPS, ICML, ICLR) is highly desirable.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
This advertiser has chosen not to accept applicants from your region.
2
Lead Data Scientist - AI Research
Posted 5 days ago
Job Viewed
Job Description
Our client is seeking an innovative Lead Data Scientist to spearhead our Artificial Intelligence research and development initiatives. This hybrid role offers the opportunity to blend focused remote work with essential in-office collaboration, driving forward the frontiers of AI. You will lead a team of talented data scientists and engineers in exploring, designing, and implementing cutting-edge machine learning models and algorithms. Your responsibilities will include defining research roadmaps, identifying novel applications for AI, and developing robust solutions for complex data challenges. The ideal candidate will have a Ph.D. or Master's degree in Computer Science, Statistics, Machine Learning, or a related quantitative field, coupled with extensive experience in leading research projects. Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch), natural language processing (NLP), computer vision, and statistical modeling is required. You should be adept at translating business problems into data science solutions and communicating complex technical concepts to both technical and non-technical audiences. Key responsibilities include developing and deploying scalable ML models, conducting rigorous experiments, staying abreast of the latest advancements in AI research, and mentoring junior team members. You will also play a key role in the architectural design of AI systems and ensuring the quality and integrity of data used for training and evaluation. This role demands strong leadership qualities, a passion for innovation, and the ability to foster a collaborative research environment. You will be instrumental in shaping the future of AI within our organization and contributing to groundbreaking discoveries. The hybrid model allows for flexibility while ensuring critical face-to-face interaction for brainstorming and team cohesion. We are looking for a visionary leader who can inspire a team and drive impactful research outcomes. Your work will involve defining key performance indicators for AI models and establishing best practices for their development and deployment. The ability to secure and manage research grants or funding, if applicable, is a plus. You will also contribute to publications and presentations in relevant scientific forums. This role requires a deep commitment to ethical AI development and responsible innovation. You will be at the forefront of developing next-generation AI technologies, pushing the boundaries of what's possible.
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