Padmi

MathCo - Data Scientist - Python

BangalorePosted 3 months ago
Data Science And StatisticsMid-levelFull Time
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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. (ref:hirist.tech)

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