Data Scientist
1 week 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, TensorFlow). 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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