
Data Scientist
4 days ago
**Responsibilities**:
**1. Data Exploration and Preparation**:
- Collect, clean, and preprocess data from various sources.
- Explore and analyze large datasets to identify patterns, trends, and insights.
**2. Model Development**:
- Develop and implement machine learning models to solve business problems.
- Fine-tune models for optimal performance.
**3. Statistical Analysis**:
- Conduct statistical analysis to validate hypotheses and make data-driven decisions.
**4. Data Visualization**:
- Create clear and compelling visualizations to communicate findings to both technical and non-technical stakeholders.
- Use tools like Matplotlib, Seaborn, or Tableau for data visualization.
**5. Collaboration**:
- Work closely with cross-functional teams, including business analysts, engineers, and domain experts, to understand requirements and deliver solutions.
**6. Machine Learning Deployment**:
- Deploy machine learning models into production environments.
- Collaborate with IT teams to integrate models into existing systems.
**7. Continuous Learning**:
- Stay abreast of the latest developments in data science, machine learning, and related fields.
- Continuously enhance skills through training and self-learning.
**8. Communication**:
- Clearly communicate findings, methodologies, and insights to both technical and non-technical stakeholders.
- Provide actionable recommendations based on data analysis.
**Qualifications**:
**1. Technical Skills**:
- Proficiency in programming languages like Python or R.
- Strong understanding of machine learning algorithms and statistical modeling techniques.
- Experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
**2. Analytical Skills**:
- Ability to analyze complex problems and develop innovative solutions.
- Strong problem-solving skills and attention to detail.
**3. Experience**:
- 2-5 years experience as a Data Scientist or in a similar role is often preferred.
**4. Tools and Platforms**:
- Familiarity with data storage and processing tools (e.g., SQL, Hadoop, Spark).
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.
**Job Types**: Full-time, Permanent
**Salary**: ₹450,043.15 - ₹1,722,712.55 per year
**Benefits**:
- Health insurance
- Provident Fund
Schedule:
- Day shift
**Experience**:
- Data Scientist: 2 years (required)
Ability to Commute:
- Mumbai, Maharashtra (required)
Ability to Relocate:
- Mumbai, Maharashtra: Relocate before starting work (required)
Work Location: In person
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