Data Scientist
Data Scientist
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1 Vacancy
Job Description
Overview
Key responsibilities
- Conducting data analysis and applying statistical techniques to develop models and algorithms.
- Designing developing and implementing machine learning models and algorithms.
- Utilizing programming languages such as Python R and Java to manipulate and analyze data.
- Identifying cleaning and wrangling large complex datasets for analysis.
- Creating data visualizations and dashboards to effectively communicate insights.
- Collaborating with crossfunctional teams to uncover opportunities through data analysis.
- Applying advanced data mining techniques to extract valuable information from large datasets.
- Developing and maintaining databases and data collection systems.
- Conducting A/B testing and other statistical experiments.
- Presenting findings and insights to key stakeholders in a clear and understandable manner.
- Staying updated with the latest industry trends and advancements in data science.
- Participating in the design and implementation of data governance practices.
- Contributing to the development of datadriven products and solutions.
- Providing mentorship and guidance to junior data analysts and scientists.
- Ensuring data privacy and security measures are integrated into all aspects of data analysis and utilization.
Required qualifications
- Bachelor s degree in Computer Science Data Science Statistics Mathematics or related field.
- Proven experience working as a Data Scientist or in a similar role.
- Demonstrated expertise in programming languages such as Python R and/or Java.
- Indepth knowledge of machine learning techniques algorithms and libraries.
- Proficiency in statistical analysis and hypothesis testing.
- Experience with big data technologies and frameworks (e.g. Hadoop Spark etc).
- Strong understanding of data visualization tools and techniques (e.g. Tableau Power BI).
- Ability to work with structured and unstructured data formats.
- Excellent problemsolving and analytical skills.
- Familiarity with databases and proficiency in SQL and NoSQL technologies.
- Effective communication and presentation skills.
- Ability to work in a fastpaced collaborative environment.
- Experience with cloud platforms such as AWS Azure or Google Cloud is a plus.
- Understanding of data governance compliance and ethical considerations.
- Professional certifications in data science machine learning or related fields are advantageous.
sql,structured and unstructured data formats,mentorship,database development,statistical techniques,presentation skills,professional certifications in data science, machine learning, related fields,big data technologies,big data,data governance,ethical considerations knowledge,communication skills,hypothesis testing,statistical analysis,machine learning,data analysis,statistics,compliance knowledge,nosql technologies,analytical skills,machine learning models,data mining,data privacy and security measures,data mining techniques,programming languages (python, r, java),python,statistical experiments,problem-solving skills,data visualization,industry trends knowledge,data visualization tools,data wrangling,data governance practices,cloud platforms (aws, azure, google cloud)
Employment Type
Full Time
