Data Scientist

Job Title: Data ScienceLocation : Palm Beach , FL (Day One Onsite to Client Location)Experence : 8 + YearsJob DescriptionWe 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 Python” Perform exploratory data analysis (EDA) to uncover insights and trends” Build reusable data pipelines and feature engineering workflows” Work with SQL and/or cloud-based data warehouses to extract and prepare data” Collaborate with stakeholders to translate business problems into data-driven solutions” Develop and maintain analytical models and dashboards” Apply basic to intermediate machine learning techniques where applicable” Experiment with and support LLM-based solutions (prompting, embeddings, APIs) as needed” Ensure data quality, reliability, and documentationRequired SkillsQualifications” 3+ years of experience as a Data Scientist / Data Analyst” Strong proficiency in Python for data manipulation and analysiso Pandas, NumPy, SciPy” Solid understanding of data cleaning, transformation, and feature engineering” Experience with SQL (PostgreSQL, MySQL, BigQuery, Snowflake, etc.)” Familiarity with data visualization toolso Matplotlib, Seaborn, Plotly, or Power BI/Tableau” Understanding of statistics and data analysis fundamentals” Experience working with APIs and external data sources” Strong problem-solving and communication skillsModern / Latest Tech Stack (Preferred)” Python (3.x)” Pandas, NumPy, Scikit-learn” Jupyter, VS Code” Git / GitHub” Cloud platforms: AWS / Azure / GCP” Data tools: Airflow, dbt, Spark (basic exposure)” Containerization: Docker (nice to have)Good to Have” Hands-on experience with Machine Learning modelso Regression, classification, clustering, time series” Exposure to LLMs and Generative AIo OpenAI / Azure OpenAI APIso Prompt engineeringo Embeddings, vector databases (FAISS, Pinecone, Chroma)” Experience with NLP or text analytics” Knowledge of MLOps basics (model versioning, monitoring)What We Offer” Opportunity to work with modern data and AI technologies” Collaborative and growth-oriented environment” Competitive compensation and benefits” Learning and upskilling opportunities in MLGenAIThe 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.ThanksRegards* 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 ***.

” 3+ years of experience as a Data Scientist / Data Analyst “ Strong proficiency in Python for data manipulation and analysis o Pandas, NumPy, SciPy “ Solid understanding of data cleaning, transformation, and feature engineering “ Experience with SQL (PostgreSQL, MySQL, BigQuery, Snowflake, etc.) “ Familiarity with data visualization tools o Matplotlib, Seaborn, Plotly, or Power BI/Tableau “ Understanding of statistics and data analysis fundamentals “ Experience working with APIs and external data sources “ Strong problem-solving and communication skills Modern / Latest Tech Stack (Preferred) “ Python (3.x) “ Pandas, NumPy, Scikit-learn “ Jupyter, VS Code “ Git / GitHub “ Cloud platforms: AWS / Azure / GCP “ Data tools: Airflow, dbt, Spark (basic exposure) “ Containerization: Docker (nice to have) Good to Have “ Hands-on experience with Machine Learning models o Regression, classification, clustering, time series “ Exposure to LLMs and Generative AI o OpenAI / Azure OpenAI APIs o Prompt engineering o Embeddings, vector databases (FAISS, Pinecone, Chroma) “ Experience with NLP or text analytics “ Knowledge of MLOps basics (model versioning, monitoring)

” Opportunity to work with modern data and AI technologies “ Collaborative and growth-oriented environment “ Competitive compensation and benefits “ Learning and upskilling opportunities in ML GenAI The 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. Thanks Regards ** 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 ***.