Data Scientist
1 month ago
Job Role: Data Scientist
We're hunting for a savvy individual at FloData Analytics to uncover valuable insights from complex datasets, driving
strategic decisions with your expertise in data analysis, statistical modelling, and machine learning. If you’re ready to
make waves in the world of data science, let’s chart new territories together
**Responsibilities**:
Develop and implement computer vision techniques/models.
Design, train, and deploy neural networks for image recognition, object detection, segmentation, and other relevant
tasks.
Process and analyze large-scale image datasets to extract meaningful insights and improve model performance.
Conduct experiments, perform error analysis, and fine-tune models to enhance accuracy and efficiency.
Collaborate with cross-functional teams to understand project requirements and deliver data-driven solutions.
Skills and Qualifications:
Proven experience in computer vision, image processing, and working with large-scale image data.
Proficiency in programming languages such as Python, with strong knowledge of libraries like TensorFlow/Keras, PyTorch,
OpenCV.
Hands-on experience with deep learning frameworks and neural network architectures (CNNs, RNNs, GANs, etc.).
Strong understanding of machine learning algorithms and statistical methods.
Ability to preprocess, augment, and analyze image datasets effectively.
Education and Experience:
Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field Proven record of holding a Data
Scientist position for 1-3 years.
Perks of Joining FloData Analytics:
Competitive remuneration
Company-sponsored certification(s)
Exposure to corporate events and exhibitions in related fields
**Job Types**: Full-time, Permanent
Pay: ₹600,000.00 - ₹800,000.00 per year
**Benefits**:
- Health insurance
- Paid sick time
- Provident Fund
Schedule:
- Day shift
Supplemental Pay:
- Yearly bonus
**Education**:
- Bachelor's (preferred)
**Experience**:
- total work: 1 year (required)
- Data science: 1 year (required)
Work Location: In person
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