Data ScientistWe are seeking a Data Scientist with 9 or more years of hands on experience in data cleaning, transformation, and analysis using Python. The ideal candidate is comfortable working with large, messy datasets, has exposure to modern data technologies, and brings a strong analytical mindset.
Experience with machine learning and LLMs is a strong plus.Key Responsibilities:Clean, preprocess, and transform structured and unstructured data using PythonPerform exploratory data analysis (EDA) to uncover insights and trendsBuild reusable data pipelines and feature engineering workflowsWork with SQL and/or cloud based data warehouses to extract and prepare dataCollaborate with stakeholders to translate business problems into data driven solutionsDevelop and maintain analytical models and dashboardsApply basic to intermediate machine learning techniques where applicableExperiment with and support LLM based solutions (prompting, embeddings, APIs) as neededEnsure data quality, reliability, and documentationRequired Skills Qualifications:9+ years of experience as a Data Scientist / Data AnalystStrong proficiency in Python for data manipulation and analysis (Pandas, NumPy, SciPy)Solid understanding of data cleaning, transformation, and feature engineeringExperience with SQL (PostgreSQL, MySQL, BigQuery, Snowflake, etc.)Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly, or Power BI/Tableau)Understanding of statistics and data analysis fundamentalsExperience working with APIs and external data sourcesStrong problem solving and communication skillsModern / Latest Tech Stack (Preferred):Python (3.x)Jupyter, VS Code, Git / GitHubCloud platforms: AWS / Azure / GCPData tools: Airflow, dbt, Spark (basic exposure)Containerization: Docker (nice to have)Good to Have:Hands on experience with Machine Learning models (Regression, classification, clustering, time series)Exposure to LLMs and Generative AI (OpenAI / Azure OpenAI APIs)Prompt engineeringEmbeddings, vector databases (FAISS, Pinecone, Chroma)Experience with NLP or text analyticsKnowledge of MLOps basics (model versioning, monitoring)