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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
- Solid understanding of data cleaning,
transformation, and feature engineering
- Experience 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
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
- 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 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
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