Data Scientist
1 day ago
At Hashbrown Systems, we are dedicated to leveraging data to drive innovation and make informed business decisions. Our dynamic team is looking for a talented Data Scientist to join us and contribute to our mission. If you are passionate about data and have a solid foundation in quantitative analysis, we want to hear from you
As a Data Scientist, you will work with our data science team to analyze data, build models, and provide actionable insights to support our business objectives. Your role will involve using statistical methods and machine learning techniques to solve complex problems and deliver data-driven solutions.
Key Responsibilities:
- Analyse large datasets to identify trends, patterns, and insights.
- Develop predictive models using machine learning techniques.
- Assist in data cleaning, preparation, and exploratory data analysis.
- Collaborate with cross-functional teams to understand data needs and provide actionable insights.
- Present findings and recommendations to stakeholders in a clear and concise manner.
- Stay updated with the latest trends in data science, **statistical methodologies, and large language models (LLMs).**
**Qualifications**:
- **Bachelor’s or Master’s degree** in Statistics, Mathematics, Data Science, or a related field.
- **Minimum 1-3 years of experience** in data analysis, statistical modelling, or machine learning projects.
- Strong understanding of statistical concepts and methodologies.
- Familiarity with programming languages such as Python or R.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Basic knowledge of machine learning algorithms and techniques.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
**Preferred Qualifications**:
- Experience with SQL and relational databases.
- Experience in **statistical modelling and ML algorithms**:
- Hands on experience on **R and Python**
**Job Types**: Full-time, Permanent
Pay: ₹30,000.00 - ₹70,000.00 per month
**Benefits**:
- Paid time off
Schedule:
- Day shift
- Monday to Friday
- Morning shift
Supplemental Pay:
- Performance bonus
**Experience**:
- total work: 1 year (preferred)
Work Location: In person
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