Data Scientist

Key Responsibilities:

Model Development and Deployment: Design, implement and deploy scalable machine learning models

Algorithm Expertise: Apply strong knowledge of machine learning algorithms (like Linear regression, logistic regression, decision trees, random forest and time series forecasting) to solve complex business challenges and enhance our existing models.

Collaborative Development: Work closely with our data science and engineering teams to integrate models into cloud-based applications and services.

Optimization: Continuously monitor model performance and iterate to improve accuracy and efficiency.

Stay Updated: Keep abreast of the latest developments in the ML field, especially concerning Azure and associated technologies, ensuring our solutions remain industry leading.

Required Skills & Experience:

• 4+ years of extensive hands-on experience with developing ML Models and leveraging auto ML tools like Data Robot, Azure Cognitive Services, etc
• Proficient in SQL and Python with experience using libraries such as Pytorch, pandas, NumPy and scikit-learn.
• Strong understanding and practical knowledge of various machine learning and deep learning algorithms
• Proven track record of deploying scalable machine learning models in real-world applications.
• Strong problem-solving skills and the ability to translate business requirements into analytical solutions.
• Solid understanding of statistical modelling techniques (e.g., regression, clustering, time series analysis), hypothesis testing, and experimental design.
• Experience with data visualization tools (e.g., Tableau, matplotlib, ggplot) to effectively present and communicate complex data insights.
• Deep knowledge and understanding of CPG industry, Supply chain and Inventory forecasting

Preferred Qualifications:

• Bachelors degree in computer science, Engineering, Operations Research, Math, Economics, or related discipline
• Strong SQL, Python and Power Bi knowledge with hands-on experience
• Ability to work effectively & independently in a fast-paced environment with tight deadlines.
• Ability to engage with cross-functional teams for implementation of project and program requirements.