2 Senior Data Scientist Predictive Analytics Remote jobs in whatjobs
Senior Data Scientist - Predictive Analytics (Remote)
Posted 20 days ago
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Job Description
Our client, a pioneering research and development organization, is seeking a highly accomplished Senior Data Scientist specializing in Predictive Analytics to join their innovative, fully remote research division. This role is instrumental in developing and deploying advanced machine learning models to forecast trends, identify patterns, and drive strategic insights from complex datasets. The ideal candidate will possess a strong foundation in statistics, machine learning algorithms, and data mining techniques, coupled with extensive experience in applying these skills to real-world research challenges. Key responsibilities include designing and implementing predictive models, performing rigorous data analysis and validation, developing robust data pipelines, and collaborating with cross-functional research teams to translate analytical findings into actionable recommendations. You will be responsible for data exploration, feature engineering, model selection, training, evaluation, and deployment. This position demands exceptional analytical and programming skills (Python, R, SQL), proficiency with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch), and experience with big data technologies. Excellent communication skills are essential for presenting complex findings to both technical and non-technical audiences in a clear and compelling manner. We are looking for an independent, results-oriented individual with a passion for scientific discovery and a proven ability to work effectively in a remote, collaborative environment. This is a unique opportunity to contribute to cutting-edge research and make a significant impact on future developments within a forward-thinking organization, all while enjoying the flexibility of remote work. The scientific research and development focus of this role, though remote, is conceptually linked to the industrial and research landscape of **Thika, Kiambu, KE**.
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Senior Data Scientist - Predictive Analytics (Remote)
Posted 19 days ago
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Job Description
Our client, a visionary organization at the cutting edge of scientific research and development, is seeking a talented and experienced Senior Data Scientist to lead advanced analytics projects. This is a fully remote position, offering a unique opportunity to apply your expertise in predictive modeling and statistical analysis to complex scientific challenges. You will be instrumental in extracting actionable insights from vast datasets, driving innovation, and contributing to breakthroughs in areas such as bioinformatics, environmental modeling, and materials science.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement sophisticated predictive models and machine learning algorithms.
- Analyze large, complex datasets to identify trends, patterns, and insights relevant to scientific research objectives.
- Collaborate closely with research scientists, engineers, and domain experts to understand data needs and define analytical approaches.
- Develop data pipelines, clean and preprocess data, and ensure data quality and integrity.
- Evaluate and validate model performance, and iterate on models to improve accuracy and robustness.
- Communicate complex analytical findings and recommendations clearly and effectively to both technical and non-technical audiences.
- Stay current with the latest advancements in data science, machine learning, statistical modeling, and relevant scientific fields.
- Contribute to the development of data-driven decision-making processes and tools.
- Mentor junior data scientists and share knowledge within the team.
- Explore and integrate new data sources and analytical techniques.
- Develop visualizations and dashboards to effectively present data insights.
- Contribute to research proposals and publications when applicable.
- Ensure responsible and ethical use of data in all analytical endeavors.
- Document methodologies, code, and findings comprehensively.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 6 years of hands-on experience in data science, with a strong focus on predictive modeling and statistical analysis.
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Extensive experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Strong understanding of statistical concepts, hypothesis testing, and experimental design.
- Experience working with large datasets and distributed computing environments (e.g., Spark) is a plus.
- Familiarity with database technologies (SQL, NoSQL) and data warehousing concepts.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, vital for remote collaboration.
- Proven ability to work independently and manage projects effectively in a remote setting.
- Experience in scientific research or R&D environments is highly desirable.
- Knowledge of cloud platforms (AWS, Azure, GCP) for data science workloads.
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