Data Scientist
Data Scientist
Posted on :
21-09-2024
Employer Active
1 Vacancy
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Job Description
Overview
The Data Scientist plays a crucial role in analyzing and interpreting complex data sets to inform decisionmaking and solve business challenges. They are responsible for leveraging statistical and computational methods to extract insights from large volumes of data and for developing machine learning models to predict future trends and behaviors. Data Scientists collaborate crossfunctionally to drive datadriven strategies and initiatives that impact the organizations overall success.
Key Responsibilities
- Collect clean and preprocess large datasets for analysis
- Develop and apply statistical and machine learning models to solve business problems
- Utilize programming languages such as Python R or SQL for data analysis and modeling
- Create data visualizations and dashboards to communicate findings to stakeholders
- Collaborate with crossfunctional teams to identify opportunities and drive datadriven decisionmaking
- Conduct indepth analysis of structured and unstructured data to uncover insights and trends
- Prototype and develop scalable algorithms and predictive models
- Stay current with industry best practices and advancements in data science and machine learning
- Contribute to the design and development of data infrastructure and architecture
- Communicate findings and recommendations to both technical and nontechnical stakeholders
- Participate in the development and implementation of data governance practices
- Lead and support the integration of machine learning models into business processes and systems
- Manage and mentor junior data scientists and analysts
- Identify and address data quality issues and ensure data integrity and security
- Implement and monitor data experiments and A/B testing
Required Qualifications
- Masters or Ph.D. in Computer Science Statistics Mathematics or related field
- Proven experience in data analysis statistical modeling and machine learning techniques
- Proficiency in programming languages such as Python R or SQL
- Expertise in data visualization tools and techniques
- Strong understanding of big data technologies and frameworks
- Solid grasp of mathematical statistical and computational principles
- Experience with distributed computing and cloud platforms (e.g. Hadoop Spark AWS Azure)
- Ability to work with large complex datasets and derive meaningful insights
- Excellent communication and presentation skills
- Demonstrated ability to work in a collaborative crossfunctional environment
- Strong problemsolving and critical thinking skills
- Experience in leading and mentoring a team of data professionals
- Keen attention to detail and commitment to data accuracy and integrity
- Familiarity with data governance and regulatory requirements
- Ability to adapt to evolving technologies and methodologies in data science
data,statistical principles,mathematical principles,data visualization tools,problem-solving skills,communication skills,leading and mentoring a team,data science,computational principles,critical thinking skills,programming languages (python, r, sql),big data,statistics,machine learning techniques,presentation skills,data visualization,data analysis,statistical modeling,decision-making,distributed computing,data governance,cloud platforms (hadoop, spark, aws, azure),python,regulatory requirements,evolving technologies,big data technologies,machine learning
Employment Type
Full Time
Key Skills
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