2 Senior Research Scientist Data Analytics jobs in whatjobs

Senior Research Scientist - Data Analytics

30400 Tuwan KES500000 Annually WhatJobs

Posted 20 days ago

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Job Description

full-time
Our client, a renowned R&D organization, is seeking a highly skilled Senior Research Scientist with expertise in data analytics to join their pioneering research team. This is a fully remote role, enabling you to contribute to groundbreaking scientific advancements from your preferred location. You will be responsible for designing and executing complex data analysis projects, developing sophisticated statistical models, and interpreting large datasets to uncover scientific insights. Your work will involve collaborating with cross-disciplinary research teams, advising on experimental design, and translating research hypotheses into empirical investigations. Proficiency in programming languages such as Python or R, along with extensive experience in machine learning algorithms, statistical modeling, and data visualization techniques, is mandatory. Experience with big data technologies and cloud computing platforms (e.g., AWS, Azure) is highly desirable. You will play a key role in the entire research lifecycle, from data collection and preprocessing to analysis, interpretation, and dissemination of findings through scientific publications and presentations. The ability to critically evaluate research methodologies and identify innovative approaches to data analysis is crucial. A Ph.D. in Statistics, Computer Science, Physics, or a related quantitative field, coupled with a minimum of 6-8 years of post-doctoral research experience in data-intensive scientific domains, is required. Exceptional analytical, problem-solving, and critical thinking skills, along with strong written and verbal communication abilities, are essential for this demanding remote position.
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Senior Research Scientist - Data Analytics

20100 Mwembe KES3800000 Annually WhatJobs

Posted 20 days ago

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Job Description

full-time
Our client is seeking an accomplished Senior Research Scientist with expertise in Data Analytics to lead complex analytical projects within a fully remote environment. This role is crucial for extracting valuable insights from large datasets, developing predictive models, and driving data-informed decision-making across the organization. The ideal candidate possesses a strong quantitative background, advanced statistical modeling skills, and a proven ability to translate data findings into actionable business strategies. You will be instrumental in leveraging data to solve challenging problems and identify new opportunities.

Key Responsibilities:
  • Design and implement advanced statistical and machine learning models to analyze large, complex datasets.
  • Develop methodologies for data collection, cleaning, and preprocessing.
  • Identify key performance indicators and metrics to track business objectives.
  • Conduct exploratory data analysis to uncover trends, patterns, and anomalies.
  • Build and deploy predictive models for forecasting, classification, and segmentation.
  • Communicate complex analytical findings and recommendations clearly to both technical and non-technical stakeholders through compelling visualizations and reports.
  • Collaborate with engineering and product teams to integrate analytical solutions into production systems.
  • Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
  • Mentor junior data scientists and contribute to the development of the data science team.
  • Evaluate and recommend new analytical tools and technologies.

Qualifications:
  • Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
  • 7+ years of experience in data analysis, statistical modeling, and machine learning.
  • Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
  • Strong understanding of database technologies (SQL, NoSQL) and data warehousing concepts.
  • Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
  • Expertise in various machine learning algorithms and statistical techniques.
  • Excellent data visualization skills using tools like Tableau, Power BI, or Matplotlib/Seaborn.
  • Strong analytical, problem-solving, and critical thinking abilities.
  • Exceptional communication and presentation skills.
  • Demonstrated experience working effectively in a remote team setting.

This fully remote position, originally associated with Nakuru, Nakuru, KE , offers a competitive compensation package and the chance to drive significant business impact through data. Join our client's innovative research team and help unlock the power of data.
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