Data Scientist

4 weeks ago


Mumbai Maharashtra, India ScatterPie Analytics Full time

**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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