Data Scientist
5 days ago
Job Description :
We are seeking a talented and driven Data Scientist to join our dynamic team. The ideal candidate will possess strong analytical and technical skills to extract insights from large datasets and drive data-driven decision-making. You will work closely with cross-functional teams to solve complex business problems using advanced analytics, machine learning, and statistical techniques.
Key Responsibilities :
- Collaborate with stakeholders to understand business objectives and translate them into data science projects.
- Develop and implement machine learning models and algorithms to solve business problems.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
- Build predictive models, perform forecasting, and analyze outcomes to provide actionable insights.
- Process, clean, and verify the integrity of data used for analysis.
- Design and execute experiments to validate hypotheses and improve system performance.
- Create visualizations and dashboards to communicate data findings effectively.
- Continuously research and adopt cutting-edge tools, techniques, and technologies in data science.
- Collaborate with data engineers to ensure data availability, quality, and scalability.
- Document processes, methodologies, and project outcomes.
Skills and Qualifications :
- Proficiency in programming languages such as Python, R, or Scala.
- Strong knowledge of SQL for data manipulation and querying.
- Expertise in machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- Hands-on experience with big data technologies (e.g., Hadoop, Spark) is a plus.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Strong statistical and mathematical foundation.
- Excellent problem-solving and critical-thinking skills.
Preferred Qualifications :
- Experience in Natural Language Processing (NLP) or computer vision is a plus.
- Exposure to time-series analysis and forecasting techniques.
- Knowledge of version control systems like Git.
- Familiarity with Agile and DevOps methodologies.
Soft Skills :
- Strong communication and presentation skills.
- Ability to work independently and as part of a team.
- Proven ability to manage multiple tasks and projects effectively.
(ref:hirist.tech)
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