Data Scientist

1 week ago

Chennai Tamil Nadu, India Doozy Robotics Pvt Ltd Full time

**JOB DESCRIPTION**:Job Title**: Data Scientist

**Location**: Chennai

**Type**:Full-time

**Experience**: 2+ Years

**Industry**: Robotics, AI, Humanoids, AMRs, AGVs

**Key Responsibilities**:
Data Analysis & Modeling: Analyze large-scale structured and unstructured data collected from humanoids, AMRs, and AGVs. Build and deploy ML models to improve navigation, path planning, and robotic decision-making.

AI Development: Implement Machine Learning/Deep Learning algorithms for behavior prediction, obstacle detection, and operational efficiency.
Sensor & Vision Data: Work with sensor fusion, computer vision, and LIDAR data to enhance robotic perception and situational awareness.

Performance Optimization: Use data-driven techniques to optimize the speed, safety, and accuracy of robotics systems.

Collaboration: Work closely with robotics engineers, software developers, and other stakeholders to integrate AI solutions into our products.

Experimentation: Design and conduct experiments to validate AI/ML models and analyze the outcomes for continuous improvement.

Visualization & Reporting: Create dashboards, reports, and visualizations to communicate findings and insights to technical and non-technical stakeholders.

**Required Skills & Qualifications**:

- Bachelor’s degree in Data Science, Computer Science, Artificial Intelligence, Robotics, or a related field.
- 2+ years of professional experience in Data Science, Machine Learning, or AI.
- Proficiency in programming languages such as Python (including libraries likeTensorFlow, PyTorch, Scikit-learn, Pandas, etc.).
- Solid experience in machine learning algorithms (supervised/unsupervisedlearning), data analysis, and model deployment.
- Familiarity with robotics-specific datasets, sensor data (e.g., LIDAR, IMU),and computer vision tools (e.g., OpenCV, YOLO, or similar).
- Experience with data visualization tools like Matplotlib, Seaborn, or Tableau.
- Knowledge of robotic systems, path planning algorithms, and simulation toolslike ROS (Robot Operating System) is a plus.
- Strong problem-solving and analytical skills.

**Preferred Skills**:
Familiarity with cloud platforms (AWS, Azure) and containerization tools (Docker). Knowledge of NLP for human-robot interactions is an added advantage. Understanding of SLAM (Simultaneous Localization and Mapping) algorithms. Previous experience working in industries like logistics, healthcare automation, or manufacturing robotics.

**Preferred**: Immediate Joiner

Schedule:

- Morning shift

**Education**:

- Bachelor's (preferred)

**Experience**:

- total work: 2 years (preferred)

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