2 Lead Data Scientist Machine Learning Applications jobs in whatjobs
Lead Data Scientist, Machine Learning Applications
Posted 4 days ago
Job Viewed
Job Description
Our client is a fast-paced tech company looking for a Lead Data Scientist to drive the development and implementation of advanced machine learning models. This is a fully remote position, empowering you to work from anywhere and make a significant impact. The role involves leading a team of data scientists, architecting ML solutions, and deploying models into production systems. The ideal candidate will have a strong background in statistical modeling, machine learning algorithms, and scalable data infrastructure.
Responsibilities:
Responsibilities:
- Lead the design, development, and deployment of machine learning models to solve complex business problems.
- Architect scalable and robust ML pipelines for data ingestion, feature engineering, model training, and evaluation.
- Collaborate with engineering and product teams to integrate ML solutions into existing products and services.
- Mentor and guide junior data scientists, fostering a culture of innovation and technical excellence.
- Stay current with the latest research and advancements in machine learning, artificial intelligence, and data science.
- Develop and implement best practices for model monitoring, validation, and continuous improvement.
- Communicate complex technical findings and recommendations to non-technical stakeholders.
- Evaluate and select appropriate ML algorithms and tools for specific project needs.
- Manage project timelines, resources, and deliverables for data science initiatives.
- Contribute to the company's data strategy and technical roadmap.
- Ensure the ethical and responsible use of data and AI technologies.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 7 years of experience in data science and machine learning, with at least 2 years in a leadership role.
- Expertise in Python, R, and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proven experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Strong understanding of various ML algorithms, including deep learning, NLP, and computer vision.
- Experience in deploying ML models into production environments and MLOps practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
- Proven ability to lead and mentor a team in a remote setting.
- Experience with agile development methodologies.
- Published research or contributions to open-source ML projects is a plus.
This advertiser has chosen not to accept applicants from your region.
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Lead Data Scientist - Machine Learning Applications
Posted today
Job Viewed
Job Description
Our client is a pioneering firm in artificial intelligence and data analytics, dedicated to solving complex real-world problems. We are seeking an exceptional Lead Data Scientist with extensive experience in machine learning to spearhead our innovative projects. This is a fully remote position, allowing you to contribute your expertise from anywhere. You will lead a team of talented data scientists and engineers, guiding the development and deployment of advanced machine learning models that drive significant business value. Your responsibilities will include designing ML algorithms, conducting rigorous data analysis, managing data pipelines, and ensuring the scalability and performance of our predictive models. The ideal candidate possesses a Ph.D. or Master's degree in Computer Science, Statistics, or a related quantitative field, coupled with a proven track record of successfully implementing ML solutions. Expertise in various ML techniques, including deep learning, natural language processing, and reinforcement learning, is crucial. Strong programming skills in Python or R, along with experience in big data technologies (e.g., Spark, Hadoop), are essential. You will be responsible for mentoring junior team members, collaborating with stakeholders across product, engineering, and research, and staying at the forefront of ML advancements. Excellent leadership, communication, and problem-solving abilities are required to navigate complex challenges and drive innovation in a remote setting. Responsibilities will include:
- Leading the design, development, and deployment of machine learning models.
- Mentoring and guiding a team of data scientists and engineers.
- Conducting advanced statistical analysis and data mining.
- Developing and maintaining robust data pipelines and ETL processes.
- Evaluating and optimizing the performance of ML models.
- Collaborating with cross-functional teams to define project requirements and deliverables.
- Communicating complex findings and technical details to both technical and non-technical audiences.
- Researching and implementing cutting-edge ML algorithms and techniques.
- Ensuring the scalability, reliability, and efficiency of ML systems.
- Contributing to the company's intellectual property through innovation and publications.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 7 years of professional experience in data science and machine learning, with at least 2 years in a leadership role.
- Demonstrated expertise in developing and deploying ML models in production environments.
- Proficiency in programming languages such as Python or R, and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with big data technologies (e.g., Spark, Hadoop, Kafka).
- Strong understanding of statistical modeling, data mining, and algorithms.
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Excellent problem-solving, analytical, and critical-thinking skills.
- Proven ability to lead and mentor technical teams.
- Exceptional communication and presentation skills for explaining complex concepts.
- Ability to work effectively and independently in a fully remote team environment.
This advertiser has chosen not to accept applicants from your region.
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