Data Scientist

Data ScientistLocation: Palm Beach, FL (Day One Onsite to Client Location) Experience: 8+ YearsWe are seeking a Data Scientist with 3 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:3+ 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)Pandas, NumPy, Scikit-learnJupyter, VS CodeGit / 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 engineering, embeddings, vector databases (FAISS, Pinecone, Chroma))Experience with NLP or text analyticsKnowledge of MLOps basics (model versioning, monitoring)What We Offer:Opportunity to work with modern data and AI technologiesCollaborative and growth-oriented environmentCompetitive compensation and benefitsLearning and upskilling opportunities in ML GenAIThe pay range for this role is *** 0k - *** 5k per annum including any bonuses or variable pay. *** also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.*** is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ***.