3 Lead Data Scientist AI Machine Learning Remote jobs in whatjobs
Lead Data Scientist, AI & Machine Learning - Remote
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking an innovative and experienced Lead Data Scientist to drive advancements in Artificial Intelligence and Machine Learning within a fully remote setting. This senior position requires a deep understanding of statistical modeling, machine learning algorithms, and data manipulation, coupled with strong leadership capabilities to guide a team of data scientists. You will be instrumental in developing cutting-edge solutions that leverage data to solve complex business challenges and unlock new opportunities.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Lead the design, development, and deployment of AI and ML models for various applications.
- Mentor and manage a team of data scientists, providing technical guidance and fostering a collaborative research environment.
- Collaborate with cross-functional teams (e.g., engineering, product management) to understand business needs and translate them into data science solutions.
- Identify opportunities to apply AI/ML techniques to improve products, processes, and decision-making.
- Conduct exploratory data analysis to uncover patterns, insights, and anomalies.
- Develop and implement robust data pipelines and feature engineering processes.
- Evaluate and select appropriate algorithms and tools for specific projects.
- Communicate complex technical findings and recommendations to both technical and non-technical stakeholders.
- Stay at the forefront of AI/ML research and advancements, exploring new methodologies and technologies.
- Ensure the scalability, efficiency, and ethical considerations of deployed models.
- Contribute to the development of the company's data strategy and infrastructure.
- Oversee the A/B testing and validation of machine learning models.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 7 years of hands-on experience in data science, with a focus on AI and Machine Learning.
- Proven track record of successfully building and deploying ML models in production environments.
- Expertise in programming languages such as Python or R, and libraries like TensorFlow, PyTorch, scikit-learn, Pandas, NumPy.
- Strong understanding of statistical modeling, experimental design, and data mining techniques.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent leadership, mentorship, and team management skills.
- Strong analytical, problem-solving, and critical thinking abilities.
- Exceptional communication and presentation skills, with the ability to explain complex concepts clearly.
- Experience with MLOps practices and tools is a significant advantage.
- Demonstrated ability to work autonomously and drive projects to completion in a remote setting.
This advertiser has chosen not to accept applicants from your region.
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Lead Data Scientist - AI & Machine Learning - Remote
Posted 11 days ago
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Job Description
Our client is looking for an exceptional Lead Data Scientist with a specialization in Artificial Intelligence and Machine Learning to spearhead innovative projects. This is a fully remote position, allowing you to work from your preferred location and contribute to groundbreaking advancements in the field. You will lead a team of talented data scientists, guiding the development and deployment of sophisticated AI/ML models that drive business intelligence and product innovation. Your responsibilities will encompass the entire ML lifecycle, from data acquisition and preprocessing to model training, validation, and deployment in production environments. This role requires a deep understanding of various machine learning algorithms, deep learning frameworks, statistical modeling, and data mining techniques.
The ideal candidate will have a proven track record of successfully delivering complex ML projects, including natural language processing (NLP), computer vision, predictive modeling, or recommender systems. You should be proficient in programming languages like Python or R, and experienced with ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is essential. As a Lead, you will be responsible for mentoring junior team members, fostering a culture of innovation, and communicating complex findings to technical and non-technical stakeholders. Strong leadership, project management, and communication skills are paramount for success in this remote leadership role. We are seeking a strategic thinker who can translate business challenges into data-driven solutions and push the boundaries of what's possible with AI.
Responsibilities:
The ideal candidate will have a proven track record of successfully delivering complex ML projects, including natural language processing (NLP), computer vision, predictive modeling, or recommender systems. You should be proficient in programming languages like Python or R, and experienced with ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is essential. As a Lead, you will be responsible for mentoring junior team members, fostering a culture of innovation, and communicating complex findings to technical and non-technical stakeholders. Strong leadership, project management, and communication skills are paramount for success in this remote leadership role. We are seeking a strategic thinker who can translate business challenges into data-driven solutions and push the boundaries of what's possible with AI.
Responsibilities:
- Lead the design, development, and implementation of advanced AI and Machine Learning models.
- Mentor and guide a team of data scientists, fostering their technical and professional growth.
- Oversee the entire ML lifecycle, from data exploration and feature engineering to model deployment and monitoring.
- Conduct rigorous statistical analysis, hypothesis testing, and experimental design.
- Develop and deploy predictive models, classification algorithms, and optimization techniques.
- Work with large, complex datasets, applying advanced data mining and machine learning techniques.
- Collaborate with engineering and product teams to integrate ML solutions into existing products and platforms.
- Communicate complex analytical findings and recommendations to senior management and stakeholders.
- Stay abreast of the latest research and advancements in AI/ML and advocate for their adoption.
- Drive innovation and identify new opportunities for leveraging data science and AI.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- 8+ years of experience in data science, with a strong focus on AI and Machine Learning.
- Proven experience leading data science projects and mentoring teams.
- Deep expertise in ML algorithms (e.g., regression, classification, clustering, deep learning) and statistical modeling.
- Proficiency in Python or R and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Strong understanding of data warehousing, data modeling, and database technologies.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication, presentation, and interpersonal skills for remote leadership.
- Demonstrated ability to translate business problems into data science solutions.
This advertiser has chosen not to accept applicants from your region.
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Lead Data Scientist, AI & Machine Learning (Remote)
Posted 3 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and visionary Lead Data Scientist, AI & Machine Learning to spearhead their cutting-edge research and development initiatives. This is a fully remote position for an individual passionate about leveraging advanced analytics, artificial intelligence, and machine learning to solve complex scientific and business problems. You will lead a team of talented data scientists and engineers, guiding the development and deployment of innovative ML models and data-driven solutions. Key responsibilities include identifying opportunities for AI/ML application across various domains, defining research agendas, and overseeing the entire ML lifecycle from data acquisition and preprocessing to model development, validation, and deployment. You will be responsible for designing and implementing sophisticated algorithms, conducting rigorous statistical analysis, and interpreting complex datasets to extract actionable insights. This role requires a deep understanding of various ML techniques, including deep learning, natural language processing, computer vision, and reinforcement learning, along with proficiency in programming languages like Python and R, and ML frameworks such as TensorFlow and PyTorch. You will collaborate closely with domain experts, product managers, and other stakeholders to translate research findings into impactful products and services. The ideal candidate will possess exceptional leadership qualities, strong strategic thinking, and the ability to communicate complex technical concepts to both technical and non-technical audiences. This position offers the exciting challenge of pushing the boundaries of AI/ML research and contributing to significant scientific advancements from a remote work setup.
Responsibilities:
Responsibilities:
- Lead and mentor a team of data scientists and ML engineers.
- Define and execute the company's AI and machine learning strategy.
- Identify opportunities to apply AI/ML to solve complex scientific and business challenges.
- Oversee the end-to-end machine learning project lifecycle.
- Design, develop, and implement advanced ML models and algorithms.
- Conduct rigorous statistical analysis and data mining.
- Interpret complex datasets and provide actionable insights.
- Collaborate with cross-functional teams to integrate ML solutions into products and services.
- Stay current with the latest advancements in AI/ML research and technologies.
- Communicate technical findings and recommendations to stakeholders.
- Ensure the scalability, reliability, and ethical deployment of ML models.
- Contribute to the development of data science best practices and standards.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- 8+ years of experience in data science and machine learning, with a proven track record of leading successful projects.
- Expertise in various ML techniques (e.g., deep learning, NLP, computer vision, time series analysis).
- Proficiency in Python, R, and ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven leadership and team management experience.
- Exceptional communication and presentation skills, able to convey complex ideas clearly.
- Demonstrated ability to work effectively in a fully remote, collaborative environment.
- Publications in top-tier AI/ML conferences or journals are a plus.
This advertiser has chosen not to accept applicants from your region.
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