Job Summary
Job Title: Data Science
Location : Palm Beach , FL (Day One Onsite to Client Location)
Experence : 8 + Years
Job Description
We 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 documentation
Required Skills & Qualifications
• 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)
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 ML & GenAI
The pay range for this role is $12 0k - $12 5k per annum including any bonuses or variable pay. Tech Mahindra 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
Tech Mahindra
