Data Science Associate

As a Data Science Associate at Metyis in Gurgaon, India, you will be part of a global and forward-thinking firm operating across various industries, developing AI & Data, Digital Commerce, Marketing & Design solutions, and Advisory services. Your role will involve executing data science projects, understanding client business problems, and developing actionable solutions. You will collaborate with stakeholders, preprocess and analyze structured and unstructured data, build predictive models, and deploy forecasting solutions and recommendation systems. Additionally, you will work with engineering, product, and business teams to translate insights into outcomes and communicate results clearly through presentations and storytelling. **Key Responsibilities:** - Execute data science projects from start to end. - Understand client business problems, define analytical approaches, and develop actionable solutions. - Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. - Preprocess and analyze structured and unstructured data using statistical approach. - Build and deploy predictive models, forecasting solutions, recommendation systems. - Collaborate with engineering, product, and business teams to translate insights into outcomes. - Communicate results clearly through presentations and storytelling. **Qualifications Required:** - Graduate degree or higher with courses in programming, econometrics / data science - Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions. - Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities. - Excellent presentations skills and storytelling capabilities. - Self-driven with a collaborative attitude and a passion for delivering business value through data. - Strong hands-on experience in Python/R and SQL. - Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. - Experience with data visualization tools in python like Seaborn, Plotly. Good understanding of Git concepts. - Good experience with data manipulation tools in python like Pandas, Numpy. - Must have worked with scikit-learn, NLTK, Spacy, transformers. - Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. - Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. - Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like Mlflow, model deployment, API integration, and CI/CD pipelines. **Good to have:** - Generative AI Experience with text and Image data. - Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. - Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG).,