Data Scientist
14 hours ago
We are seeking a highly analytical and experienced **Data Scientist** to join our team. As a Data Scientist, you will play a pivotal role in analyzing large datasets, identifying trends, and building data products to extract valuable business insights. We are looking for an individual with proven experience in data mining, machine learning, and operations research. If you have a passion for turning raw information into actionable intelligence and possess strong analytical and problem-solving skills, we invite you to apply.
**Responsibilities**
- Identify valuable data sources and automate collection processes.
- Implement NLP algorithms to extract valuable insights from unstructured data sources, such as text and speech.
- Undertake preprocessing of structured and unstructured data.
- Explore innovative approaches to leverage deep learning in solving complex problems.
- Analyze large amounts of information to discover trends and patterns.
- Build predictive models and machine-learning algorithms.
- Implement ensemble modeling techniques to combine models effectively.
- Present information using data visualization techniques.
- Propose solutions and strategies to address business challenges.
- Collaborate closely with engineering and product development teams.
**Requirements**:
- Proven experience as a Data Scientist.
- Expertise in data mining and a solid understanding of machine-learning and operations research.
- Proficiency in programming languages such as R, SQL, and Python.
- Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop).
- Analytical mindset with strong business acumen.
- Solid math skills, including statistics and algebra.
- Exceptional problem-solving aptitude.
- Excellent communication and presentation skills.
- B.tech in Computer Science or another quantitative field is preferred
**Location - Mohali.**
**Job Types**: Full-time, Permanent, Fresher
Pay: ₹8,000.00 - ₹15,000.00 per month
**Benefits**:
- Health insurance
Schedule:
- Day shift
Work Location: In person
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