Data Scientist

16 hours ago

Mohali Punjab, India Research Infinite Solutions LLP Full time

We are seeking a Data Scientist with approximately 1 year of experience to join our team. In this role, you will analyze complex data sets, develop models, and provide actionable insights to support our business objectives. You will work closely with cross-functional teams to deliver data-driven solutions that enhance decision-making and drive innovation.

**Key Responsibilities**:

- **Data Analysis**:Analyze large and complex data sets to identify trends, patterns, and insights.
- **Model Development**: Develop and implement statistical models and machine learning algorithms to address business problems.
- **Data Visualization**: Create visualizations and dashboards to effectively communicate findings and insights to stakeholders.
- **Collaboration**:Work with data engineers, analysts, and other teams to ensure data quality and consistency.
- **Reporting**:Prepare reports and presentations to summarize analyses and recommendations.

**Required Skills**:

- **Programming**:Proficiency in Python or R for data analysis and model development.
- **Data Analysis**:Experience with statistical analysis and machine learning techniques.
- **Tools**: Familiarity with data visualization tools (e.g., Tableau, Power BI) and data manipulation libraries (e.g., Pandas, NumPy).
- **Databases**: Knowledge of SQL for querying relational databases. Communication: Strong ability to explain technical concepts to non-technical stakeholders.

**Preferred Qualifications**:

- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.
- Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
- Knowledge of advanced machine learning techniques and algorithms is a plus.

Please note that we are only considering **walk-in interviews** at this time.

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

Pay: ₹10,000.00 - ₹25,000.00 per month

Schedule:

- Day shift
- Monday to Friday
- Morning shift

Work Location: In person

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