Data Scientist

**About Us**

This role will work alongside ML Engineers and Data Engineers to design datasets, define evaluation metrics, source high-quality data, and extract actionable insights from AI models.

**Key Responsibilities**
- **Data Sourcing & Collection**: Identify, source, and manage large-scale datasets, including satellite imagery and multi-angle product photos.
- **Data Annotation & Labelling**: Oversee and perform the meticulous annotation and labelling of images with bounding boxes and class labels for object detection tasks. This includes ensuring consistency and accuracy across the dataset.
- **Data Cleaning & Preprocessing**: Clean, transform, and preprocess raw data to make it suitable for machine learning models. This involves handling missing data, normalizing features, and correcting errors.
- **Data Augmentation**: Design and implement data augmentation strategies to increase the size and diversity of the training dataset, improving model robustness and generalization.
- **Exploratory Data Analysis (EDA)**: Perform detailed EDA to understand the characteristics of the data, identify trends, identify potential biases, and provide insights that guide model development.
- Develop statistical and ML models for **size estimation, orientation, and movement patterns**.
- **Quality Assurance**: Develop and implement quality control protocols for the annotated data to ensure a high level of accuracy and reliability.
- **Collaboration**: Work closely with Machine Learning Engineers and Domain experts to define data requirements, provide data-driven insights, and troubleshoot data-related issues during the model training and evaluation process.
- Work with ML Engineers to select and evaluate models (YOLO, DETR, Mask R-CNN, etc.).
- Define KPIs and create evaluation frameworks (precision/recall, IoU, orientation accuracy).
- Analyse model errors, identify failure cases, and propose improvements.
- Generate dashboards/reports to communicate insights to stakeholders.

**Required Skills & Experience**
- 3+ years of experience as a Data Scientist, ideally in **computer vision or geospatial AI**.
- Strong skills in **Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn)**.
- Experience with **image datasets** and libraries like OpenCV, Pillow.
- Familiarity with **deep learning frameworks** (PyTorch/TensorFlow) to run experiments.
- Hands-on experience with **Satellite &** **geospatial data (GDAL, Rasterio, Shapefiles)** is a plus.
- Strong grasp of **statistical modelling, hypothesis testing, and evaluation design**.
- Experience with **large-scale dataset preparation, annotation, and sourcing workflows**.
- Proficiency with **SQL and data pipelines**.
- Excellent communication skills — able to translate technical results into business insights.

**Nice to Have (preferred)**
- Familiarity with **multi-object tracking and trajectory analysis**.
- Knowledge of **segmentation and fine-grained classification** problems.
- Exposure to **data visualization tools (Tableau, Power BI, Dash, Plotly)**.
- Experience working with **annotation teams and quality assurance processes**.
- Experience working with AIS data and open-source maritime datasets

**What We Offer**
- Opportunity to work on impactful AI projects
- Collaboration with a strong ML/AI engineering team.
- Flexible working setup.
- Competitive compensation and growth opportunities.

Pay: ₹600,000.00 - ₹700,000.00 per year

**Benefits**:

- Health insurance
- Provident Fund

Application Question(s):

- Are you open to work from office for Nashik location?

**Experience**:

- Data Scientist (Computer Vision & Geospatial AI): 3 years (required)

Work Location: In person