Data Scientist

1 day ago

Whitefield Bengaluru Karnataka, India Info HR Solutions Full time

Position: Data Scientist

Exp: 5-8 Years

Location: Bangalore

Budget: 30.00 LPA

**NP: Only Immediate/10Days**

**Mandatory Skills: Data Scientist, Python, SQL, EDA, Visualization.**

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.

Position Overview:
Key Responsibilities:

- Data Analysis: Collect, clean, and preprocess large datasets from various sources. Perform exploratory data analysis to uncover patterns and insights.
- Statistical Modeling: Develop and implement statistical models and algorithms to address business problems. Validate models and perform performance evaluations.
- Machine Learning: Design, train, and deploy machine learning models to predict outcomes and automate processes. Continuously improve model accuracy and efficiency.
- Collaboration: Work with data engineers, analysts, and other team members to understand business requirements and provide data-driven solutions.
- Continuous Learning: Stay updated with the latest industry trends, technologies, and best practices in data science and machine learning.

**Job Types**: Full-time, Permanent

Pay: ₹2,500,000.00 - ₹3,000,000.00 per year

**Benefits**:

- Paid time off
- Provident Fund
- Work from home

Schedule:

- Day shift
- Morning shift

Supplemental Pay:

- Performance bonus

Work Location: In person

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