Data science Intern

A fast-growing tech startup is seeking a highly motivated and skilled Data Scientist to join our team. We are solving the problems for ecommerce using AI/ML and looking for someone who is passionate about using data to drive business decisions.
Responsibilities:

• Analyze large amounts of ecommerce data to uncover insights and trends.
• Collaborate with cross-functional teams to understand business requirements and design data-driven solutions.
• Ability to self-start & work in a challenging environment by navigating ambiguity & by bringing structure. Work to solve problems vertically i.e. bringing in 0 to 1 progress.
• Prior Internship Experience in any quantitative field (e.g. Data Science, Applied Maths, Time Series Forecasting & Operations Research, Statistics, Computer Science, AI, Economics, or Engineering) is a good to have.
• Expertise in Python with strong coding skills, especially in data science libraries & frameworks such as pandas,numpy,scikit-learn, Tensorflow/PyTorch & pyspark.
• Strong expertise in data wrangling & analyzing massive complex datasets, structured & unstructured.
• Proven track record of extracting data insights & building ML models, especially in the areas of Predictive analytics, time series forecasting & operations research through projects or internships taken earlier.
• Fundamental knowledge of Explainable AI and decoding Black Box models.
• Proficiency in data visualization.
• Strong written, verbal & interpersonal communication skills. Ability to communicate at all levels in the organization.
• Develop and implement machine learning models
• Thorough understanding of database, streaming & analytics services offered by popular cloud platforms(Azure, AWS, GCP) and hands-on implementation of building machine learning pipeline with atleast one of the popular cloud platforms
• Stay up-to-date with emerging trends and technologies in data science and machine learning.
• Continuously evaluate the performance of existing models and suggest improvements.

Requirements:

• Master's or PhD degree in Computer Science, Mathematics, Statistics, or related field.
• 1+ years of experience in data science and machine learning.
• Strong programming skills in Python
• Experience with machine learning algorithms and libraries (e.g. scikit-learn, TensorFlow, etc.).
• Familiarity with SQL and data warehousing concepts.
• Experience working with demand forecasting, supply chain optimization, driver analysis, time series analysis, statistical models, regression models and deep learning models
• Strong technical knowledge of Regression, Classification, Bayesian and Probabilistic Models AI ML Experience working with AI products, data science packages, etc.
• Experience with building and deploying machine learning models on large-scale data. Experience working with highly unbalanced data
• Strong problem-solving skills and ability to work in a fast-paced environment.

We offer a dynamic work environment, opportunities for growth, and a competitive salary package. If you are a self-starter with a passion for solving complex problems, we encourage you to apply.