Associate Data Scientist
18 hours ago
- Collaborate with senior data scientists to develop and implement analytical models.
- Assist in data collection, cleaning, and preprocessing tasks.
- Apply statistical techniques to interpret and analyze data sets.
- Conduct exploratory data analysis to uncover trends and patterns.
- Create data visualizations to communicate findings effectively.
- Support the development of machine learning algorithms.
- Work on data-driven projects to address business challenges.
- Manage and maintain databases, performing SQL queries to extract relevant data.
- Document methodologies, algorithms, and findings for internal reporting.
- Contribute to presentations for stakeholders to convey insights and recommendations.
- Participate in stakeholder meetings to understand business requirements.
- Stay up-to-date with industry trends in data science and analytics.
- Assist in the validation and testing of developed models.
- Provide insights that assist in improving business processes and operations.
- Foster strong relationships with team members and cross-functional partners.
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
- Experience with data analysis tools such as Python or R.
- Familiarity with machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow).
- Strong understanding of statistical concepts and methodologies.
- Proficiency in SQL for database management and data retrieval.
- Excellent problem-solving and analytical skills.
- Effective verbal and written communication skills.
- Previous experience in a data-related internship or project.
- Strong organizational and multitasking abilities.
- Knowledge of data visualization tools (e.g., Tableau, Matplotlib).
- A team player with a collaborative mindset.
- Ability to learn quickly and adapt to changing priorities.
- Basic knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.
- Attention to detail and a commitment to delivering high-quality work.
- Passion for data-driven decision-making and continuous learning.
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