9 Remote Lead Data Scientist AI Ml jobs in whatjobs
Remote Lead Data Scientist (AI/ML)
Posted 20 days ago
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Job Description
Our client is searching for a visionary and highly skilled Lead Data Scientist with expertise in Artificial Intelligence and Machine Learning to spearhead their cutting-edge research and development initiatives. This fully remote position offers the opportunity to lead a team of talented data scientists in developing and deploying advanced AI/ML models that solve complex business problems and drive innovation. You will be responsible for defining research roadmaps, guiding the development of predictive models, algorithms, and data-driven solutions, and ensuring their successful integration into production environments. The ideal candidate will possess a Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, or a related discipline, coupled with extensive experience in machine learning, deep learning, natural language processing, and computer vision. Proficiency in programming languages like Python or R, and experience with big data technologies and cloud platforms (AWS, Azure, GCP) are essential. Strong leadership, mentorship, and communication skills are required to effectively guide the team and collaborate with cross-functional stakeholders. You will be expected to stay abreast of the latest advancements in AI/ML and translate research findings into practical applications. This role demands a strategic thinker with a passion for pushing the boundaries of AI and a proven ability to deliver impactful data science solutions. This is a groundbreaking opportunity to shape the future of artificial intelligence.
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Remote Lead Data Scientist - AI/ML
Posted 18 days ago
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Job Description
Our client, a cutting-edge organization in Scientific Research & Development, is seeking an innovative and experienced Remote Lead Data Scientist to spearhead their Artificial Intelligence and Machine Learning initiatives. This fully remote, high-impact role will involve leading a team of data scientists, defining research directions, and developing sophisticated AI/ML models to solve complex scientific problems. You will be responsible for the end-to-end lifecycle of data science projects, from problem formulation and data acquisition to model development, deployment, and monitoring. Key responsibilities include designing and implementing advanced machine learning algorithms, conducting rigorous statistical analysis, and performing predictive modeling. You will mentor junior data scientists, review their work, and foster a collaborative and high-performing team environment. This role requires a deep understanding of various ML techniques, including deep learning, natural language processing, and computer vision, as applied to scientific data. Experience with large-scale data processing and distributed computing frameworks is essential. You will also play a crucial role in communicating complex technical findings to non-technical stakeholders, including senior management and research partners. The ideal candidate will possess a strong academic background in a quantitative field (e.g., Computer Science, Statistics, Physics, Mathematics) with a Ph.D. or Master's degree, combined with significant industry experience. Exceptional programming skills in Python or R, and proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) and big data technologies (e.g., Spark, Hadoop) are mandatory. Excellent leadership, communication, and problem-solving skills are required to guide the team and influence strategic decisions. This is a unique opportunity to drive groundbreaking research and development in a flexible remote setting.
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Remote Lead Data Scientist - AI/ML
Posted 17 days ago
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Job Description
Our client is looking for an accomplished Lead Data Scientist with expertise in Artificial Intelligence and Machine Learning to spearhead their data initiatives within a fully remote framework. This is a strategic role where you will design, develop, and deploy advanced AI/ML models to solve complex business problems and drive innovation. You will lead a team of data scientists, providing technical guidance, mentorship, and strategic direction. Responsibilities include identifying opportunities for AI/ML application, building robust predictive models, optimizing algorithms, and ensuring the scalability and efficiency of deployed solutions. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Statistics, or a related quantitative field, coupled with significant experience in developing and implementing AI/ML models in a production environment. Expertise in programming languages like Python or R, deep learning frameworks (e.g., TensorFlow, PyTorch), and cloud platforms (AWS, Azure, GCP) is essential. Strong analytical, problem-solving, and communication skills are critical for translating complex technical findings into actionable business insights. You will be expected to stay at the forefront of AI/ML research and best practices, and champion their adoption within the organization. As a remote-first role, exceptional self-management, collaboration, and communication skills are crucial for working effectively with distributed teams. Our client is committed to leveraging data to achieve cutting-edge results. While our data science hub is located in **Garissa, Garissa, KE**, this position offers complete remote flexibility. Join us to shape the future of AI.
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Remote Lead Data Scientist - AI/ML
Posted 11 days ago
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Job Description
Our client is seeking an accomplished and visionary Remote Lead Data Scientist with expertise in Artificial Intelligence and Machine Learning to spearhead their advanced analytics initiatives. This fully remote position is crucial for driving innovation and leveraging data to solve complex scientific and business challenges. You will lead a team of data scientists, guide the development of sophisticated AI/ML models, and translate research findings into actionable insights and impactful solutions. This role requires a deep understanding of statistical modeling, machine learning algorithms, and a passion for scientific discovery through data.
Responsibilities:
Responsibilities:
- Lead and mentor a team of data scientists, fostering a collaborative and high-performing research environment.
- Design, develop, and implement advanced machine learning models and algorithms for various applications.
- Identify and explore new data sources and analytical techniques to solve complex scientific and business problems.
- Oversee the end-to-end data science lifecycle, from data collection and preprocessing to model deployment and monitoring.
- Collaborate with domain experts, researchers, and engineers to define project scope and objectives.
- Translate complex analytical findings into clear, concise, and actionable insights for stakeholders.
- Evaluate the performance of AI/ML models and implement strategies for continuous improvement.
- Contribute to the development of data infrastructure and pipelines.
- Stay current with the latest advancements in AI, ML, deep learning, and statistical modeling.
- Communicate research findings and project outcomes through presentations, reports, and publications.
- Ensure the ethical and responsible use of data and AI technologies.
- Manage research projects, ensuring timely delivery and alignment with strategic goals.
- Champion data-driven decision-making across the organization.
- Contribute to the company's intellectual property through novel algorithms and methodologies.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field with a focus on AI/ML.
- Minimum of 8 years of progressive experience in data science, with a significant portion dedicated to AI/ML model development and deployment.
- Proven experience leading data science teams and managing complex research projects.
- Deep expertise in a wide range of machine learning algorithms (e.g., deep learning, reinforcement learning, supervised/unsupervised learning).
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of statistical modeling, data mining, and experimental design.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent analytical, problem-solving, and critical thinking skills.
- Outstanding communication, presentation, and interpersonal skills.
- Ability to work independently and lead effectively in a remote, collaborative setting.
- Experience in scientific research environments or R&D settings is highly desirable.
- Demonstrated ability to translate research into practical applications and business value.
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Remote Lead Data Scientist - AI/ML
Posted 6 days ago
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Job Description
Our client is seeking a highly skilled and experienced Lead Data Scientist specializing in Artificial Intelligence and Machine Learning to join their innovative, fully remote team. In this pivotal role, you will lead the design, development, and deployment of cutting-edge AI/ML models that drive significant business value. You will be instrumental in shaping the company's data science strategy, guiding a team of talented data scientists, and collaborating with cross-functional engineering and product teams. The ideal candidate possesses a deep theoretical understanding of ML algorithms, statistical modeling, and advanced programming techniques, coupled with extensive practical experience in building and operationalizing complex AI solutions. You will be responsible for identifying opportunities for AI/ML applications, defining project roadmaps, and ensuring the ethical and responsible use of data. Key responsibilities include developing predictive models, recommendation engines, natural language processing (NLP) systems, or computer vision solutions, depending on business needs. This role requires a leader who can translate complex analytical findings into clear, actionable insights for stakeholders at all levels. You will also play a crucial role in mentoring junior data scientists, promoting best practices in coding, model evaluation, and MLOps. Experience with large-scale datasets, cloud platforms (AWS, Azure, GCP), and big data technologies is essential. As a fully remote position, exceptional communication skills, self-discipline, and the ability to work independently are paramount. This is an exceptional opportunity to make a significant impact on the future of technology from anywhere.
Responsibilities:
Responsibilities:
- Lead the research, development, and implementation of advanced AI/ML models and algorithms.
- Define and execute the data science roadmap and strategy for AI/ML initiatives.
- Mentor and guide a team of data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with engineering and product teams to integrate AI/ML solutions into production systems.
- Analyze large, complex datasets to identify patterns, trends, and actionable insights.
- Develop and deploy scalable ML pipelines, ensuring robustness and efficiency.
- Communicate complex technical findings and recommendations to both technical and non-technical stakeholders.
- Stay abreast of the latest advancements in AI/ML research and technology.
- Ensure the ethical and responsible development and deployment of AI systems.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 8+ years of experience in data science, with a strong focus on AI/ML.
- Proven experience leading data science teams and projects.
- Deep understanding of various ML algorithms (e.g., deep learning, reinforcement learning, NLP, computer vision).
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
- Strong statistical modeling and data analysis skills.
- Excellent problem-solving, analytical, and communication skills.
- Demonstrated ability to work effectively in a remote, collaborative environment.
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Remote Lead Data Scientist, AI/ML
Posted 5 days ago
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Job Description
Our client is seeking an innovative and experienced Lead Data Scientist specializing in Artificial Intelligence and Machine Learning to spearhead their advanced analytics initiatives. This position is fully remote, offering a unique opportunity to drive cutting-edge research and development from your home office. You will lead a team of talented data scientists, guiding them in the development and deployment of sophisticated AI/ML models that solve complex business problems and create significant value. Your responsibilities will span the entire data science lifecycle, from data acquisition and preprocessing to model building, validation, and productionization. You will play a pivotal role in defining the company's AI strategy, staying at the forefront of technological advancements, and fostering a culture of data-driven innovation. The ideal candidate possesses a strong theoretical and practical understanding of ML algorithms, experience leading technical teams, and a passion for pushing the boundaries of AI.
Key responsibilities:
Requirements include a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. A minimum of 8 years of professional experience in data science, with at least 3 years in a leadership or senior role, is essential. Demonstrated expertise in a wide range of machine learning techniques (e.g., deep learning, natural language processing, computer vision, reinforcement learning) and associated algorithms is required. Strong programming skills in Python or R, proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn), and experience with big data technologies (e.g., Spark, Hadoop) are mandatory. Excellent problem-solving, analytical, and communication skills are crucial. Experience with cloud platforms (AWS, Azure, GCP) and MLOps principles is highly desirable. This is a challenging and rewarding opportunity for a visionary leader to shape the future of AI within our organization.
Key responsibilities:
- Lead the design, development, and implementation of advanced machine learning models and AI solutions across various business domains.
- Mentor and manage a team of data scientists, providing technical guidance, performance feedback, and career development support.
- Define and drive the AI/ML roadmap, identifying strategic opportunities and aligning projects with business objectives.
- Conduct in-depth data analysis, feature engineering, and model selection to address complex challenges.
- Develop and implement robust model evaluation, validation, and monitoring frameworks.
- Collaborate with software engineers to deploy AI/ML models into production environments, ensuring scalability and reliability.
- Stay abreast of the latest research, tools, and techniques in AI, machine learning, and data science, and champion their adoption.
- Communicate complex technical findings and recommendations clearly and effectively to both technical and non-technical stakeholders.
- Contribute to the development of data infrastructure and MLOps practices.
- Foster a collaborative and innovative team environment, encouraging knowledge sharing and best practice adoption.
- Evaluate and integrate new data sources and technologies to enhance analytical capabilities.
- Oversee experimental design and interpretation of results.
Requirements include a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. A minimum of 8 years of professional experience in data science, with at least 3 years in a leadership or senior role, is essential. Demonstrated expertise in a wide range of machine learning techniques (e.g., deep learning, natural language processing, computer vision, reinforcement learning) and associated algorithms is required. Strong programming skills in Python or R, proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn), and experience with big data technologies (e.g., Spark, Hadoop) are mandatory. Excellent problem-solving, analytical, and communication skills are crucial. Experience with cloud platforms (AWS, Azure, GCP) and MLOps principles is highly desirable. This is a challenging and rewarding opportunity for a visionary leader to shape the future of AI within our organization.
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5
Remote Lead Data Scientist - AI/ML
Posted 5 days ago
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Job Description
Our client is seeking a highly accomplished Lead Data Scientist with extensive experience in Artificial Intelligence and Machine Learning to spearhead their advanced analytics initiatives. This is a fully remote position, offering the flexibility to work from anywhere. You will be responsible for developing and deploying sophisticated ML models, driving data-driven decision-making, and leading a team of talented data scientists. Your role will involve defining the strategic direction for AI/ML projects, designing and implementing advanced algorithms, and ensuring the scalability and robustness of deployed solutions. Responsibilities include mentoring junior team members, collaborating with engineering and product teams to integrate ML models into production systems, conducting rigorous experimentation, and communicating complex findings to both technical and non-technical stakeholders. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field, with a minimum of 7 years of progressive experience in data science and ML. Demonstrated expertise in Python, R, and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) is essential. Proven experience in leading projects, developing deep learning models, natural language processing (NLP), or computer vision is highly desirable. Strong understanding of data engineering principles, big data technologies (e.g., Spark, Hadoop), and cloud platforms (AWS, Azure, GCP) is required. You must possess excellent communication, leadership, and problem-solving skills, with the ability to thrive in a fast-paced, collaborative, and remote work environment. This is a critical role shaping the future of our client's data-driven capabilities.
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Remote Lead Data Scientist - AI/ML
Posted 3 days ago
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Job Description
Our client, a cutting-edge scientific research and development organization focused on leveraging artificial intelligence and machine learning for groundbreaking advancements, is seeking a Lead Data Scientist to join their fully remote team. This pivotal role will spearhead the development and implementation of advanced analytical models and machine learning algorithms to solve complex scientific challenges. The ideal candidate will possess a Ph.D. or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Physics, Mathematics) and have extensive experience in applying AI/ML techniques to real-world problems. You will lead a team of data scientists, mentor junior researchers, and collaborate closely with domain experts to drive innovation and discovery. This is an exceptional opportunity to contribute to transformative scientific projects from a remote setting.
Key responsibilities include designing, developing, and deploying sophisticated machine learning models for tasks such as predictive analytics, pattern recognition, and natural language processing. You will be responsible for data acquisition, cleaning, feature engineering, and model validation. The Lead Data Scientist will also play a crucial role in defining research directions, publishing findings, and presenting complex results to both technical and non-technical audiences. Proficiency in programming languages such as Python or R, and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) and big data technologies (e.g., Spark, Hadoop) are essential. Strong statistical knowledge and experience with data visualization tools are also required. As a remote leader, you will foster a collaborative research environment using digital collaboration platforms and ensure effective communication within the team and with stakeholders. We are looking for an innovative thinker with a passion for scientific exploration and a proven ability to lead data science initiatives to successful outcomes in a virtual environment.
Location: Eldoret, Uasin Gishu, KE (Remote)
Key responsibilities include designing, developing, and deploying sophisticated machine learning models for tasks such as predictive analytics, pattern recognition, and natural language processing. You will be responsible for data acquisition, cleaning, feature engineering, and model validation. The Lead Data Scientist will also play a crucial role in defining research directions, publishing findings, and presenting complex results to both technical and non-technical audiences. Proficiency in programming languages such as Python or R, and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) and big data technologies (e.g., Spark, Hadoop) are essential. Strong statistical knowledge and experience with data visualization tools are also required. As a remote leader, you will foster a collaborative research environment using digital collaboration platforms and ensure effective communication within the team and with stakeholders. We are looking for an innovative thinker with a passion for scientific exploration and a proven ability to lead data science initiatives to successful outcomes in a virtual environment.
Location: Eldoret, Uasin Gishu, KE (Remote)
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7
Remote Lead Data Scientist - AI/ML
Posted 4 days ago
Job Viewed
Job Description
Our client is seeking a highly innovative and experienced Remote Lead Data Scientist with a specialization in Artificial Intelligence and Machine Learning. This is a fully remote position where you will guide the development and deployment of advanced AI/ML models that drive significant business impact. You will lead a team of data scientists, architect cutting-edge solutions, and translate complex data into actionable insights and intelligent systems. Your leadership and technical acumen will be pivotal in advancing our client's AI capabilities.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of sophisticated AI/ML models for predictive analytics, pattern recognition, natural language processing, and other complex problems.
- Architect end-to-end machine learning pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
- Manage and mentor a team of data scientists, providing technical guidance and fostering professional growth.
- Collaborate with stakeholders across various departments to identify business challenges and opportunities where AI/ML can provide solutions.
- Conduct rigorous data analysis, feature engineering, and model selection.
- Evaluate and optimize model performance using appropriate metrics and validation techniques.
- Ensure the scalability, reliability, and maintainability of AI/ML solutions.
- Stay abreast of the latest research and advancements in AI/ML, deep learning, and related fields.
- Communicate complex technical findings and recommendations clearly and effectively to both technical and non-technical audiences.
- Contribute to the development of the company's data science strategy and roadmap.
- Oversee the ethical considerations and bias detection within AI models.
- Implement MLOps practices for continuous integration, deployment, and monitoring of ML models.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field with a strong focus on AI/ML.
- Minimum of 8 years of experience in data science and machine learning, with a proven track record of delivering impactful AI solutions.
- Extensive experience with various ML algorithms, including deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in programming languages such as Python (with libraries like NumPy, Pandas, Scikit-learn).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Strong understanding of statistical modeling, experimental design, and data visualization.
- Proven experience in leading technical teams and managing complex data science projects.
- Excellent communication, presentation, and interpersonal skills, enabling effective collaboration in a remote setting.
- Experience with MLOps tools and best practices.
- Familiarity with database technologies (SQL and NoSQL).
- Strong problem-solving and analytical capabilities.
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