7 Lead Data Scientist Machine Learning jobs in whatjobs
Lead Data Scientist - Machine Learning
Posted 18 days ago
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Job Description
Our client is seeking an accomplished Lead Data Scientist with a specialization in Machine Learning to join their innovative team. This is a fully remote position, offering the opportunity to work from anywhere while contributing to cutting-edge data-driven projects. You will be responsible for leading the design, development, and deployment of advanced machine learning models to solve complex business problems. Key responsibilities include identifying opportunities for applying ML techniques, data preprocessing, feature engineering, model selection, training, and evaluation. You will mentor junior data scientists, collaborate with engineering teams to integrate models into production systems, and communicate findings and insights to both technical and non-technical stakeholders. A strong foundation in statistical modeling, algorithms, and programming (e.g., Python, R) is essential. Experience with deep learning frameworks (TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP) is highly desirable. You will stay abreast of the latest research and advancements in ML and AI, and apply them to drive innovation. The ideal candidate holds a master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field, with a minimum of 7 years of experience in data science, including significant experience in machine learning model development and leadership. Proven ability to lead complex projects from conception to deployment and excellent problem-solving and communication skills are crucial. This is an exceptional remote opportunity to drive impactful innovation in Bungoma, Bungoma, KE .
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Lead Data Scientist, Machine Learning
Posted 20 days ago
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Job Description
Our client is looking for a visionary Lead Data Scientist specializing in Machine Learning to spearhead innovative research and development initiatives. This is a fully remote position, allowing you to contribute your expertise from any location. You will be at the forefront of leveraging cutting-edge ML techniques to solve complex business problems, driving significant advancements in our product offerings and operational efficiency. As the Lead Data Scientist, you will guide a team of talented data professionals, mentor junior scientists, and set the technical direction for ML projects. Your responsibilities will include identifying new opportunities for ML applications, designing and implementing robust predictive models, developing scalable algorithms, and validating model performance. You will collaborate closely with cross-functional teams, including engineering, product, and business stakeholders, to translate insights into actionable strategies. This role demands a deep understanding of various ML algorithms, statistical modeling, and data mining techniques, as well as proficiency in programming languages such as Python or R. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is essential. You should have a strong portfolio of successfully deployed ML solutions. We are seeking a candidate with a Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field, coupled with at least 8 years of relevant industry experience. The ability to communicate complex technical concepts to both technical and non-technical audiences is crucial. While this role is remote, you will be working on projects that impact our client's operations, which may include those in the **Machakos, Machakos, KE** region. This is an exceptional opportunity to make a tangible impact through data-driven innovation and to lead in a rapidly evolving field. We value curiosity, creativity, and a passion for pushing the boundaries of what's possible with AI and ML. Your work will directly influence the strategic direction of our client's technological advancements.
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Lead Data Scientist - Machine Learning
Posted 11 days ago
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Job Description
Our client, a forward-thinking analytics firm, is seeking an accomplished Lead Data Scientist with a specialization in Machine Learning to spearhead innovative data-driven projects. This is a fully remote leadership role, offering the chance to define and execute advanced analytical strategies. You will be responsible for designing, developing, and deploying sophisticated machine learning models to solve complex business problems, drive insights, and create predictive capabilities. Your work will involve exploring large datasets, identifying key variables, feature engineering, selecting appropriate algorithms, and rigorously evaluating model performance. You will lead a team of data scientists and engineers, providing technical guidance, mentorship, and fostering a culture of innovation and continuous learning within a virtual setting. The ideal candidate possesses a PhD or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics) and extensive professional experience in data science and machine learning. Proven expertise in programming languages such as Python or R, along with strong knowledge of ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) and big data technologies (e.g., Spark, Hadoop) is required. Excellent communication skills are crucial for conveying complex technical findings to both technical and non-technical stakeholders. You will play a pivotal role in shaping our client's data strategy and driving significant business impact, impacting operations and decision-making for clients across regions including **Nakuru, Nakuru, KE**. This remote leadership position offers autonomy and the opportunity to work on challenging, impactful problems.
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Lead Data Scientist - Machine Learning
Posted 11 days ago
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Job Description
Our client is seeking a highly skilled and experienced Lead Data Scientist specializing in Machine Learning to join their innovative remote research and development team. This role is central to driving data-driven decision-making and developing advanced predictive models that solve complex business challenges.
As a Lead Data Scientist, you will be responsible for designing, developing, and deploying sophisticated machine learning models and algorithms. Your work will involve data exploration, feature engineering, model selection, training, evaluation, and optimization. You will lead projects that leverage large datasets to uncover insights, build predictive capabilities, and automate processes. A key aspect of this role includes mentoring junior data scientists, collaborating with engineering teams to integrate models into production systems, and communicating complex findings to both technical and non-technical stakeholders.
This is a fully remote position, offering the flexibility to contribute your expertise from anywhere within Kenya. You will work closely with product managers, software engineers, and business analysts to understand requirements, define project scopes, and deliver impactful data science solutions. A significant focus will be on staying current with the latest advancements in machine learning, artificial intelligence, and data science methodologies, and applying them to solve real-world problems. You will also play a role in shaping the data strategy and infrastructure within the organization.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field, along with a minimum of 7 years of experience in data science and machine learning. Proven experience in building and deploying production-ready ML models is essential. Expertise in programming languages such as Python or R, and proficiency with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn) are required. Strong knowledge of SQL and experience with big data technologies (e.g., Spark, Hadoop) are also highly beneficial. Excellent analytical, problem-solving, and communication skills are critical. Demonstrated ability to lead projects, mentor team members, and effectively communicate complex technical concepts are key requirements. This is an exciting opportunity for a passionate data leader to make a significant impact in a remote work environment.
Responsibilities:
As a Lead Data Scientist, you will be responsible for designing, developing, and deploying sophisticated machine learning models and algorithms. Your work will involve data exploration, feature engineering, model selection, training, evaluation, and optimization. You will lead projects that leverage large datasets to uncover insights, build predictive capabilities, and automate processes. A key aspect of this role includes mentoring junior data scientists, collaborating with engineering teams to integrate models into production systems, and communicating complex findings to both technical and non-technical stakeholders.
This is a fully remote position, offering the flexibility to contribute your expertise from anywhere within Kenya. You will work closely with product managers, software engineers, and business analysts to understand requirements, define project scopes, and deliver impactful data science solutions. A significant focus will be on staying current with the latest advancements in machine learning, artificial intelligence, and data science methodologies, and applying them to solve real-world problems. You will also play a role in shaping the data strategy and infrastructure within the organization.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field, along with a minimum of 7 years of experience in data science and machine learning. Proven experience in building and deploying production-ready ML models is essential. Expertise in programming languages such as Python or R, and proficiency with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn) are required. Strong knowledge of SQL and experience with big data technologies (e.g., Spark, Hadoop) are also highly beneficial. Excellent analytical, problem-solving, and communication skills are critical. Demonstrated ability to lead projects, mentor team members, and effectively communicate complex technical concepts are key requirements. This is an exciting opportunity for a passionate data leader to make a significant impact in a remote work environment.
Responsibilities:
- Lead the development and implementation of machine learning models and algorithms.
- Design and conduct experiments to test hypotheses and validate models.
- Perform data mining, feature engineering, and exploratory data analysis.
- Build, train, and evaluate predictive models for various applications.
- Deploy machine learning models into production environments.
- Collaborate with engineering teams for model integration and scalability.
- Mentor and guide junior data scientists.
- Communicate complex findings and insights to stakeholders.
- Stay current with advancements in AI, ML, and data science.
- Contribute to the development of data strategy and best practices.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 7 years of experience in data science and machine learning.
- Proficiency in Python or R and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Strong experience with SQL and data manipulation.
- Experience with big data technologies (Spark, Hadoop) is a plus.
- Proven ability to deploy ML models into production.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong leadership and mentoring capabilities.
- Exceptional communication and presentation skills.
- Ability to work independently and manage complex projects remotely.
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Lead Data Scientist - Machine Learning
Posted 10 days ago
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Job Description
Our client is looking for a visionary Lead Data Scientist with a specialization in Machine Learning to spearhead groundbreaking research and development initiatives. This is a fully remote position where you will lead a team of talented data scientists, drive the development of advanced predictive models, and translate complex data into actionable business insights. Your responsibilities will include designing and implementing machine learning algorithms, developing data pipelines, conducting rigorous statistical analysis, and evaluating model performance. You will work with large, complex datasets, identify patterns, and create innovative solutions to solve challenging business problems across various domains. The ideal candidate will have a deep understanding of various ML techniques, including deep learning, natural language processing, and reinforcement learning, along with extensive experience in programming languages like Python or R, and ML frameworks such as TensorFlow or PyTorch. You will mentor junior data scientists, foster a collaborative research environment, and present findings to technical and non-technical stakeholders. A strong publication record or contributions to open-source projects are highly valued. This role requires excellent leadership, communication, and problem-solving skills, with the ability to work autonomously and manage projects from conception to deployment. A Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field, coupled with at least 7 years of experience in data science and machine learning, with a significant portion in a lead or senior capacity, is required. Experience in cloud computing platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop) is also essential. This is a unique opportunity to shape the future of data-driven innovation from your home office.
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4
Lead Data Scientist - Machine Learning
Posted 9 days ago
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Job Description
Our client, a cutting-edge data analytics firm, is seeking an exceptional Lead Data Scientist with a specialization in Machine Learning to spearhead their advanced analytics initiatives. This is a critical, fully remote position where you will lead a team of data scientists, drive the development of sophisticated ML models, and translate complex data insights into actionable business strategies. The ideal candidate will possess a deep theoretical understanding of machine learning algorithms, statistical modeling, and data mining techniques, coupled with hands-on experience in applying these to solve real-world business problems. You will be responsible for designing and implementing ML pipelines, building predictive models, performing advanced statistical analysis, and interpreting results to provide strategic recommendations to clients. Your role will involve working closely with data engineers, software developers, and business stakeholders to ensure the effective deployment and integration of ML solutions. This position demands strong leadership capabilities, excellent problem-solving skills, and superior communication abilities to convey technical concepts to non-technical audiences. As this is a fully remote role, you must be highly self-directed, organized, and proficient in virtual collaboration tools and environments. You will guide your team in exploring new data sources, experimenting with cutting-edge ML techniques, and ensuring the scalability and robustness of models. We are looking for a thought leader who can drive innovation in data science, mentor junior team members, and contribute significantly to the firm's intellectual capital. The ability to manage multiple research projects, prioritize tasks, and deliver high-quality analytical outputs within deadlines is crucial. This is an unparalleled opportunity to make a significant impact on how businesses leverage data for strategic advantage, all within a flexible remote work setup. We value individuals who are intellectually curious, analytical, and possess a passion for uncovering insights from data. Your experience in leading complex ML projects and your ability to translate complex findings into clear, actionable business recommendations will be highly regarded. We expect candidates to have a strong command of programming languages such as Python or R, and experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Your expertise will be instrumental in shaping our client's data-driven future.
Key Responsibilities:
Key Responsibilities:
- Lead and mentor a team of data scientists in developing and deploying machine learning models.
- Design, develop, and implement advanced machine learning algorithms and predictive models.
- Perform complex statistical analysis and data mining to extract actionable insights.
- Identify and evaluate new data sources and analytical techniques.
- Collaborate with data engineers and software developers to build and productionize ML pipelines.
- Communicate complex findings and recommendations to technical and non-technical stakeholders.
- Develop and maintain best practices for data science and machine learning within the team.
- Stay current with the latest research and advancements in machine learning and AI.
- Drive innovation in data science approaches and solutions.
- Ensure the scalability, accuracy, and reliability of ML models.
- Contribute to the strategic direction of data science initiatives.
- Mentor junior data scientists and foster a collaborative team environment.
- 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, with at least 3 years in a lead or senior role focused on machine learning.
- Proven track record of developing and deploying successful ML models in production environments.
- Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and data mining.
- Proficiency in programming languages such as Python or R, and ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication, presentation, and leadership abilities.
- Demonstrated ability to mentor and guide a team of data scientists.
- Experience with MLOps principles and practices is a plus.
- Ability to work effectively in a remote, collaborative environment.
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5
Lead Data Scientist - Machine Learning
Posted 4 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Lead Data Scientist specializing in Machine Learning to join their research and development team in a fully remote capacity. This is a critical role focused on developing advanced predictive models, algorithms, and data-driven solutions that solve complex scientific and business challenges. You will lead a team of data scientists, mentor junior researchers, and collaborate with stakeholders across the organization to translate data insights into actionable strategies. Your expertise in statistical modeling, algorithm development, and big data technologies will be essential.
Key Responsibilities:
Qualifications:
This is an exceptional opportunity to lead cutting-edge research and development initiatives in data science and machine learning, with the flexibility of a fully remote position. If you are a visionary data scientist with a passion for innovation and a proven ability to drive impactful solutions, we encourage you to apply. Join our client and shape the future of scientific discovery and technological advancement.
Key Responsibilities:
- Lead the design, development, and deployment of machine learning models and algorithms to address scientific research and business objectives.
- Apply advanced statistical analysis and data mining techniques to extract meaningful insights from large, complex datasets.
- Develop and implement data pipelines, feature engineering strategies, and model evaluation frameworks.
- Collaborate with cross-functional teams, including domain experts, software engineers, and product managers, to define project requirements and deliver solutions.
- Mentor and guide junior data scientists, fostering a culture of learning and innovation.
- Stay abreast of the latest advancements in machine learning, artificial intelligence, and data science methodologies.
- Communicate complex findings and technical concepts clearly and effectively to both technical and non-technical audiences.
- Oversee the selection and implementation of appropriate data science tools and technologies.
- Contribute to the company's intellectual property through research and publications.
- Ensure the ethical and responsible use of data and AI technologies.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Minimum of 7 years of experience in data science and machine learning, with a strong portfolio of applied projects.
- Expertise in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, Pandas).
- Proven experience in developing and deploying machine learning models in production environments.
- Solid understanding of statistical modeling, experimental design, and data analysis techniques.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and team management capabilities, essential for remote leadership.
- Exceptional communication and presentation skills.
- Demonstrated ability to work independently and lead complex research initiatives.
This is an exceptional opportunity to lead cutting-edge research and development initiatives in data science and machine learning, with the flexibility of a fully remote position. If you are a visionary data scientist with a passion for innovation and a proven ability to drive impactful solutions, we encourage you to apply. Join our client and shape the future of scientific discovery and technological advancement.
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