Data Scientist
1 week ago
**Position: Data Scientist**
**Exp: 5-8 Years**
Location: Bangalore [Hybrid]
**NP: Only Immediate/10Days**
**Basic Qualifications**:
- Proficiency in programming languages **such as Python, SQL, R etc**.
- Bachelor or Master's degree in highly quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.
- 4-6 years of academic and relevant industry experience.
- Proven experience as a Data Scientist with a strong portfolio of data science projects.
- Experience in a specific industry (e.g., Edtech, finance,retail) is advantageous.
- **Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).**:
- Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
- Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, D3.js).
- **Hands-on experience with Databricks for big data processing and analytics.**:
- Proficiency with the Elastic Stack (Elasticsearch & Kibana) for search and data analysis is a plus.
- Analytical Skills: Strong ability to analyze complex data sets, identify trends, and draw actionable conclusions.
- Communication Skills: Excellent verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders.
- Problem-Solving: Demonstrated ability to tackle complex problems and develop innovative solutions.
**Preferred Qualifications**:
- Bachelor's, Master's or PhD degree in CS, Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with at least 3 years of working experience as a Data Scientist.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
- Knowledge of advanced machine learning techniques (e.g., deep learning, natural language processing).
- Familiarity with business intelligence tools and methodologies.
Pay: ₹2,000,000.00 - ₹3,000,000.00 per year
**Benefits**:
- Work from home
Schedule:
- Monday to Friday
**Education**:
- Bachelor's (preferred)
**Experience**:
- Data Scientist: 3 years (required)
- Python, SQL, R: 3 years (required)
- data manipulation and analysis libraries: 3 years (required)
- Pandas, NumPy, Scikit-learn: 3 years (preferred)
- Databricks for big data processing and analytics: 3 years (preferred)
- AWS, Azure, Google Cloud: 3 years (preferred)
- deep learning, natural language processing: 3 years (preferred)
- business intelligence tools: 2 years (preferred)
Work Location: In person
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