Data Scientist

Additional Parameters:

- Experience in retail or e-commerce industry preferred

- Knowledge of machine learning and predictive modeling

- Strong programming skills in languages such as Python, R, or SQL

- Experience with data visualization tools such as Tableau or Power BI

- Ability to work in a fast-paced and dynamic environment

- Excellent communication and collaboration skills

Job Summary:

As a Data Scientist at Titan, you will be responsible for analyzing large datasets to identify trends and patterns that will drive business decisions. You will work closely with cross-functional teams to develop and implement data-driven solutions that will improve customer experience and increase sales. This role requires a strong understanding of data analysis techniques and the ability to translate complex data into actionable insights.

Key Responsibilities:

- Collect, clean, and analyze large datasets using statistical methods

- Develop and implement predictive models to identify customer behavior and trends

- Collaborate with cross-functional teams to identify business problems and provide data-driven solutions

- Communicate complex data and insights to non-technical stakeholders

- Use data visualization tools to create reports and dashboards for business leaders

- Stay updated with industry trends and advancements in data science techniques

- Mentor and guide junior data analysts in the team

Qualifications:

- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field

- Minimum of 3 years of experience in a data science role

- Experience in retail or e-commerce industry preferred

- Strong programming skills in languages such as Python, R, or SQL

- Knowledge of machine learning and predictive modeling techniques

- Experience with data visualization tools such as Tableau or Power BI

- Excellent communication and collaboration skills

- Ability to work in a fast-paced and dynamic environment

Join our team at Titan and be a part of a dynamic and innovative company that values data-driven decision making. Apply now and help us shape the future of retail through data science!

Work Experience

• Programming & Data:

  Python (Advanced), SQL

• Deep Learning:

  PyTorch, Transformer architectures, Computer Vision (CNNs, object detection)

• GenAI:

  OpenAI SDK

• Machine Learning Frameworks:

  xgBoost, LightGBM, scikit-learn

• GenAI Engineering:

  Retrieval-Augmented Generation (RAG), vector databases

• Cloud (Preferred):

  AWS (SageMaker, S3, Glue)

• Other:

  Prompt engineering, model performance benchmarking, deployment best practices