Senior Data Scientist

About Us:

Our Vision:

Traya was created with a global vision to create awareness around hair loss, de-stigmatise it while empathizing with the customers that it has an emotional and psychological impact. Most importantly, to combine 3 different sciences (Ayurveda, Allopathy and Nutrition) to create the perfect holistic solution for hair loss patients.

Responsibilities:

• Data Analysis and Exploration:

• Conduct in-depth analysis of large and complex datasets to identify trends, patterns, and anomalies.
• Perform exploratory data analysis (EDA) to understand data distributions, relationships, and quality.

• Machine Learning and Statistical Modeling:

• Develop and implement machine learning models (e.g., regression, classification, clustering, time series analysis) to solve business problems.
• Evaluate and optimize model performance using appropriate metrics and techniques.
• Apply statistical methods to design and analyze experiments and A/B tests.
• Implement and maintain models in production environments.

• Data Engineering and Infrastructure:

• Collaborate with data engineers to ensure data quality and accessibility.
• Contribute to the development and maintenance of data pipelines and infrastructure.
• Work with cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark, Hadoop).

• Communication and Collaboration:

• Effectively communicate technical findings and recommendations to both technical and non-technical audiences.
• Collaborate with product managers, engineers, and other stakeholders to define and prioritize projects.
• Document code, models, and processes for reproducibility and knowledge sharing.
• Present findings to leadership.

• Research and Development:

• Stay up-to-date with the latest advancements in data science and machine learning.
• Explore and evaluate new tools and techniques to improve data science capabilities.
• Contribute to internal research projects.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• 3-5 years of experience as a Data Scientist or in a similar role.
• Leverage SageMaker's features, including SageMaker Studio, Autopilot, Experiments, Pipelines, and Inference, to optimize model development and deployment workflows.
• Proficiency in Python and relevant libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow, PyTorch).
• Solid understanding of statistical concepts and machine learning algorithms.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Experience deploying models to production.
• Experience with version control (Git)

Preferred Qualifications:

• Experience with specific industry domains (e.g., e-commerce, finance, healthcare).
• Experience with natural language processing (NLP) or computer vision.
• Experience with building recommendation engines.
• Experience with time series forecasting.