4 Remote Lead Data Scientist Machine Learning jobs in whatjobs
Remote Lead Data Scientist - Machine Learning
Posted 20 days ago
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Job Description
Our client is seeking a highly experienced and visionary Lead Data Scientist to spearhead their advanced machine learning and AI initiatives. This is a fully remote position, offering the opportunity to drive innovation and shape the future of data-driven solutions. You will lead a team of talented data scientists, guiding them through the entire lifecycle of machine learning projects, from conceptualization and data exploration to model development, deployment, and performance monitoring. Responsibilities include defining research objectives, architecting complex ML models, developing robust algorithms, and translating analytical insights into actionable business strategies. The ideal candidate possesses a deep expertise in statistical modeling, machine learning algorithms, deep learning frameworks, and programming languages such as Python or R. A strong background in scientific research and development is essential, with a proven ability to tackle complex, ambiguous problems and deliver innovative solutions. This role requires exceptional leadership, communication, and stakeholder management skills to effectively collaborate with cross-functional teams and present findings to senior management. You will be responsible for setting the technical direction for the data science team and fostering a culture of continuous learning and experimentation. A PhD or Master's degree in a quantitative field is highly preferred. This is a critical remote leadership role for our operations near **Kericho, Kericho, KE**, demanding a forward-thinking individual ready to make a significant impact.
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Remote Lead Data Scientist (Machine Learning)
Posted 20 days ago
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Job Description
Our client is seeking an innovative and experienced Remote Lead Data Scientist specializing in Machine Learning to spearhead their data science initiatives. This fully remote role offers an exceptional opportunity to work on challenging problems, develop advanced predictive models, and mentor a team of talented data scientists. You will be responsible for leading the end-to-end data science lifecycle, from data acquisition and exploration to model development, deployment, and monitoring. Your expertise will be critical in designing and implementing machine learning algorithms to solve complex business challenges, such as customer segmentation, fraud detection, recommendation systems, and predictive maintenance. The ideal candidate will possess a deep understanding of statistical modeling, machine learning techniques, and programming languages like Python or R. Strong experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is essential. You will mentor junior data scientists, provide technical guidance, and collaborate closely with engineering and product teams to integrate ML solutions into production systems. This role requires excellent communication skills to translate complex technical concepts to non-technical stakeholders. Although our R&D efforts are connected to **Ongata Rongai, Kajiado, KE**, this position is fully remote. We are looking for a leader with a proven ability to drive innovation, deliver impactful data-driven solutions, and stay at the forefront of machine learning advancements. A Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field is required, along with a minimum of 6 years of experience in data science, with a significant focus on machine learning and a demonstrated track record of leading projects. Join us to push the boundaries of AI and machine learning.
Responsibilities:
Responsibilities:
- Lead the design, development, and deployment of machine learning models.
- Mentor and guide a team of data scientists and analysts.
- Collaborate with product and engineering teams to integrate ML solutions.
- Perform complex data analysis, feature engineering, and model evaluation.
- Stay abreast of the latest research and advancements in machine learning and AI.
- Communicate findings and recommendations to technical and non-technical stakeholders.
- Develop strategies for data acquisition, processing, and management.
- Ensure the scalability and reliability of machine learning pipelines.
- Contribute to the company's overall data strategy and roadmap.
- Identify new opportunities for applying machine learning to business problems.
- Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 6 years of experience in data science with a focus on machine learning.
- Proven experience leading data science projects and mentoring teams.
- Strong proficiency in Python or R and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Expertise in statistical modeling, data mining, and predictive analytics.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Excellent problem-solving and critical-thinking skills.
- Strong communication and presentation skills.
- Ability to translate business requirements into technical solutions.
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1
Remote Lead Data Scientist - Machine Learning
Posted 10 days ago
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Job Description
Our client is looking for an exceptional Lead Data Scientist with a specialization in Machine Learning to spearhead their cutting-edge research and development efforts. This role is entirely remote, offering a unique opportunity to work with a world-class team on complex, impactful projects. You will be responsible for designing, developing, and deploying advanced machine learning models, driving data-driven insights, and contributing significantly to product innovation. The ideal candidate possesses a strong academic background, extensive experience in statistical modeling, deep learning, and programming, and a proven track record of leading successful data science initiatives. Key responsibilities include defining research objectives, exploring large and complex datasets, building and validating predictive models, and communicating findings to both technical and non-technical audiences. You will also mentor junior data scientists, stay abreast of the latest advancements in AI and ML, and collaborate closely with engineering and product teams. Experience with cloud platforms (AWS, Azure, GCP), big data technologies (Spark, Hadoop), and a strong command of Python or R are essential. As a remote leader, exceptional communication, collaboration, and self-management skills are critical for success. This is a challenging and rewarding opportunity to shape the future of technology. This influential position is conceptually located in Malindi, Kilifi, KE .
This advertiser has chosen not to accept applicants from your region.
2
Remote Lead Data Scientist - Machine Learning
Posted 6 days ago
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Job Description
Our client is seeking an accomplished and visionary Lead Data Scientist with expertise in Machine Learning to spearhead their advanced analytics initiatives. This is a fully remote, full-time position that offers the opportunity to shape the future of data-driven decision-making. You will be responsible for designing, developing, and deploying sophisticated machine learning models that address complex business challenges and uncover valuable insights from large datasets. Your work will span predictive modeling, natural language processing, computer vision, and algorithm optimization. You will lead a team of talented data scientists, providing technical guidance, mentorship, and fostering a culture of innovation. The ideal candidate possesses a deep theoretical understanding of ML algorithms, extensive practical experience with large-scale data projects, and proficiency in programming languages such as Python or R. You will collaborate closely with cross-functional teams, including product managers, engineers, and business stakeholders, to translate data science initiatives into impactful business solutions. This role requires exceptional problem-solving abilities, strong communication skills to convey complex technical concepts, and the capacity to lead and inspire a remote team. You will be instrumental in driving the strategic adoption of AI and ML across the organization.
Responsibilities:
Responsibilities:
- Lead the design, development, and deployment of cutting-edge machine learning models and algorithms.
- Oversee the entire data science lifecycle, from data acquisition and preprocessing to model training, evaluation, and deployment.
- Mentor and guide a team of data scientists, fostering their technical and professional growth.
- Collaborate with stakeholders to identify business problems that can be solved with data science and machine learning.
- Develop and implement strategies for data collection, cleaning, and feature engineering.
- Conduct advanced statistical analysis and hypothesis testing to derive actionable insights.
- Stay current with the latest research and advancements in machine learning and artificial intelligence.
- Communicate complex technical findings and recommendations to both technical and non-technical audiences.
- Ensure the scalability, performance, and reliability of deployed models.
- Contribute to the development of the company's data science infrastructure and best practices.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 8+ years of hands-on experience in data science and machine learning, with a proven track record of delivering impactful solutions.
- 5+ years of experience leading data science teams or projects.
- Expertise in a wide range of machine learning algorithms and techniques (e.g., deep learning, reinforcement learning, NLP).
- Proficiency in Python or R, along with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Strong understanding of statistical modeling and experimental design.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and leadership abilities, with experience managing remote teams.
This advertiser has chosen not to accept applicants from your region.
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