MathCo - Data Scientist - Python

Job Title : Data Description :

We Are Looking For a Skilled And Motivated Data Scientist With Experience In Machine Learning, Analytics, And AI Technologies. The Ideal Candidate Should Have Strong Problem-solving Abilities, Hands-on Experience In Python And SQL, And Exposure To AI/ML Model Development And

• Analyze structured and unstructured data to generate actionable business insights.
• Build, train, validate, and deploy machine learning models for business use cases.
• Work with stakeholders to understand business problems and translate them into data science solutions.
• Perform data cleaning, feature engineering, exploratory data analysis, and model evaluation.
• Develop predictive and analytical models using statistical and machine learning techniques.
• Collaborate with cross-functional teams including engineering, product, and business teams.
• Monitor model performance and improve model accuracy over time.
• Stay updated with the latest advancements in AI, machine learning, and data science technologies.
• Work on AI/GenAI use cases such as NLP, recommendation systems, forecasting, or automation Skills :
• 3 to 10 years of experience in Data Science or Machine Learning.
• Strong programming skills in Python and SQL.
• Hands-on experience with machine learning algorithms and statistical modeling.
• Experience with libraries/frameworks such as scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, etc.
• Understanding of supervised and unsupervised learning techniques.
• Experience in data preprocessing, feature engineering, and model evaluation.
• Exposure to AI/LLM/GenAI concepts such as prompt engineering, embeddings, or RAG is preferred.
• Familiarity with cloud platforms like Azure, AWS, or GCP is an added advantage.
• Good understanding of data visualization and storytelling.
• Strong analytical and communication Qualifications :
• Experience working in product-based or enterprise environments.
• Knowledge of NLP, recommendation systems, forecasting, or experimentation/A-B testing.
• Exposure to MLOps tools and model deployment is a : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field.