Data scientist
6 days ago
Location: Noida, India
Industry: IT
Job Summary:
We are seeking a highly skilled Data Scientist to join our IT team and contribute to our data-driven decision-making processes. The ideal candidate will have a strong background in statistical modeling, machine learning, and data analytics, enabling them to interpret complex data and derive actionable insights that drive business outcomes.
Key Responsibilities:
- Data Analysis and Insights: Analyze large, complex datasets to identify patterns, trends, and actionable insights that align with business goals.
- Model Development: Design, build, and deploy predictive models and machine learning algorithms to solve business problems and enhance decision-making.
- Data Visualization: Create compelling data visualizations and dashboards to present findings and communicate insights to stakeholders.
- Collaboration with Cross-Functional Teams: Work closely with product, engineering, and business teams to define data needs, deliver insights, and drive data-driven strategies.
- Data Cleaning and Preparation: Process, cleanse, and verify the integrity of data used for analysis to ensure quality results.
- Experimentation and Hypothesis Testing: Design and conduct experiments to test hypotheses and analyze the impact of different business initiatives.
- Continuous Improvement: Stay updated with the latest industry trends, tools, and technologies in data science, machine learning, and artificial intelligence to enhance analytical capabilities.
Requirements:
- Experience: 3+ years of experience in data science or analytics, preferably in the IT sector.
- Education: Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- Technical Skills: Proficiency in Python, R, SQL, and machine learning libraries (e.g., scikit-learn, Tensor Flow). Experience with data visualization tools (e.g., Tableau, Power BI).
- Analytical Skills: Strong statistical analysis and mathematical modeling skills, with a deep understanding of various machine learning algorithms and techniques.
- Problem-Solving Abilities: Excellent critical thinking skills with a proactive approach to problem-solving and the ability to work with large datasets.
- Communication: Strong verbal and written communication skills to effectively share insights and collaborate with technical and non-technical teams.
Preferred Qualifications:
- Experience with big data platforms (e.g., Hadoop, Spark).
- Knowledge of deep learning frameworks.
- Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud.
Personal Attributes:
- Detail-oriented and quality-driven
- Ability to work in a fast-paced, dynamic environment
- Proactive and self-motivated with a strong commitment to learning
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